Data Engineering Jobs with Equity ≥ 5%

Summary: Candidates should have 10+ years in software engineering with at least 5 years in a leadership role, demonstrating a track record of shipping and operating business-critical services. A strong technical background in cloud-native architectures and a commitment to inclusive leadership are essential.

Skills: software engineering, leadership, cloud-native architectures, api-driven systems, event-driven systems, backend services, frontend applications, incident management, observability, devsecops, continuous improvement, coaching, product management, security, reliability, data-driven approach

Summary: Extensive experience operating production systems in a high availability, cloud environment is required. Candidates should have deep expertise in C# and practical experience with Infrastructure as Code tools like Terraform.

Skills: c#, cloud environment, infrastructure as code, terraform, ci/cd pipelines, observability, automated testing, production systems, containerization, orchestration, docker, kubernetes, networking, security best practices, scalability, performance

Summary: The ideal candidate will have a B.S. or M.S. degree in Computer Science or a related field, along with experience in modern application design and expertise in at least one programming language such as React or Java. Strong communication skills and a passion for software development are essential.

Skills: react, typescript, java, python, api design, performance optimization, software engineering best practices, unit testing, code reviews, design documentation, communication skills, collaboration, data management, data manipulation, ui design, saas

Summary: The ideal candidate will have a B.S. or M.S. degree in Computer Science or a related field, along with experience in modern application design and expertise in at least one programming language such as React or Java. Strong communication skills and a genuine enjoyment of building great software are essential.

Skills: react, typescript, java, python, api design, performance optimization, software engineering best practices, unit testing, code reviews, design documentation, communication skills, data management, interactive ui design, data manipulation, collaboration, problem solving

Summary: Seeking a candidate to design data pipelines, generate dashboards, and use SQL, Snowflake, and dbt.

Skills: sql, snowflake, dbt

Summary: Candidates should have over 10 years of industry experience in a pre-sales or engineering role, including 2 years of management experience. Expertise in Data Warehousing, Data Engineering, and related fields is essential, with Snowflake experience preferred.

Skills: solutions engineering, sales leadership, data warehousing, data engineering, data science, business intelligence, data analytics, cloud computing, presentation skills, customer engagement, team management, go-to-market strategy, problem solving, collaboration, recruitment, feedback

Summary: A Bachelor’s Degree in a related field and seven years of experience in risk management or data privacy program management are required. Relevant industry certifications such as CIPP/US, CIPM, and/or CDPSE are preferred.

Skills: data privacy management, risk management, compliance, auditing, data inventory discovery, privacy frameworks, technical aptitude, communication skills, interpersonal skills, project management, vendor management, metrics design, training, collaboration, problem solving, curiosity

Summary: Candidates should have over 10 years of industry experience in a pre-sales or engineering role, with at least 2 years in a management position. Expertise in Data Warehousing, Data Engineering, and related fields is essential, along with strong presentation skills.

Skills: solutions engineering, team leadership, sales strategy, customer engagement, data warehousing, data engineering, data science, business intelligence, data analytics, cloud computing, presentation skills, problem solving, collaboration, recruitment, coaching, feedback

Summary: Candidates should have 3+ years of engineering management experience and a graduate-level degree in a relevant field. A strong background in advanced manufacturing concepts and CAD/CAM workflows is essential.

Skills: engineering management, cad/cam, advanced manufacturing, 3d printing, cnc milling, toolpath planning, design for manufacturability, computer vision, innovation risk management, communication skills, continuous learning, problem solving, team leadership, technical roadmap, collaboration, research and development

Summary: Proven experience leading mid-sized engineering teams and delivering large-scale system transformations is essential. Familiarity with affiliate marketing ecosystems and a strong understanding of data-driven architectures are preferred qualifications.

Skills: technical leadership, ai-driven product enablement, integration, data ecosystem design, membership programs, affiliate programs, e-commerce, data-driven architectures, event pipelines, ml-ready infrastructure, cms platforms, content automation, training systems, business impact, customer outcomes

Summary: Candidates should have over 10 years of experience in Sales Engineering or similar roles, with at least 5 years in a leadership position. Familiarity with the cybersecurity industry and experience working with MSPs and VARs is essential.

Skills: sales engineering, technical sales leadership, team building, coaching, mentoring, cybersecurity, msps, vars, communication skills, presentation skills, time management, organizational skills

Summary: Candidates must have a bachelor's degree in Computer Science or equivalent experience, along with 3+ years of knowledge in big data technologies and cloud services. Experience in data analysis, preferably in the healthcare industry, is also required.

Skills: data management, data validation, data integration, sql, spark, cloud, rdbms, data analysis, etl, healthcare, microsoft office, project management, databricks, snowflake, kafka, hadoop

Summary: The ideal candidate should have over 4 years of experience managing diverse engineering teams and at least 5 years of hands-on full-stack engineering experience. Strong communication skills and a proven track record of solving complex problems are essential.

Skills: leadership, software engineering, team building, mentoring, code quality, api development, problem solving, communication, collaboration, healthcare regulations, data-driven systems, full-stack development, product management, user experience, diversity, continuous learning

Summary: 3+ years of data engineering experience with expert-level SQL skills, particularly in PostgreSQL. Experience in building and maintaining high-throughput production data pipelines with a focus on data quality is essential.

Skills: data engineering, sql, postgresql, etl pipelines, data quality, data infrastructure, data warehouse, analytics, collaboration, monitoring, documentation, elixir, aws, quicksight, ci/cd, high-throughput systems

Summary: 3+ years of data engineering experience with expert-level SQL skills, particularly in PostgreSQL. Experience in building high-throughput production data pipelines and a collaborative mindset are essential.

Skills: data engineering, sql, postgresql, etl pipelines, data quality, data infrastructure, data warehouse, analytics, collaboration, monitoring, documentation, elixir, aws, quicksight, ci/cd, high-throughput systems

Summary: Candidates should have proficiency in front-end and back-end technologies, with a strong understanding of database management. Experience in AI-related projects is preferred, along with a willingness to learn and adapt.

Skills: html, css, javascript, react, angular, vue, node.js, python, java, ruby, restful apis, mysql, postgresql, mongodb, debugging, problem-solving

Summary: Candidates should have 7+ years of experience in software engineering and a Bachelor’s degree in Computer Science or a related field. Strong communication and collaboration skills with clients and technical teams are essential.

Skills: software engineering, client communication, javascript, react, node.js, object-oriented programming, database design, scalable system design, restful apis, microservices, sql, nosql, cloud computing, devops, version control, security technologies

Summary: Candidates should have 7+ years of experience in software engineering and a Bachelor's degree in Computer Science or a related field. Strong communication skills and experience with modern applications and APIs are essential.

Skills: software engineering, client communication, javascript, react, node.js, object-oriented programming, database connectors, system design, apis, cloud, devops, version control, security technologies, privacy technologies, elastic search, open-source contributions

Summary: Candidates should have a bachelor's degree in a related field and 5-7+ years of experience in data engineering. Expertise in SQL and Python, along with strong experience in AWS data products, is essential.

Skills: data engineering, etl pipelines, sql, python, aws, data modeling, schema design, data quality, data governance, automation, cloud solutions, mentoring, communication, problem solving, critical thinking, project management

Summary: 5+ years of experience in software engineering, with strong proficiency in Python, and 3+ years of experience building and maintaining streaming data systems. An advanced degree in Engineering or a related technical field is preferred, along with prior experience working remotely in a distributed team environment.

Skills: python, kafka, spark, aws kinesis, flink, terraform, cloudformation, dataops, observability, reliability, event-driven data mesh, data infrastructure, machine learning, business intelligence, data quality, data accessibility

Summary: Candidates should have at least 10 years of experience in Agile software application development and a proven track record of managing teams to deliver impactful results. Strong communication and leadership skills are essential, along with the ability to influence senior leaders on engineering strategy.

Skills: agile software development, data science, machine learning, cloud software delivery, technical leadership, team management, communication, problem solving, mentoring, collaboration, cost management, security awareness, diversity and inclusion, stakeholder engagement, project management, user-centric design

Summary: Candidates should have over 10 years of software engineering experience, with at least 3 years in a leadership role. Expertise in .NET Core, React.js, and Azure is essential.

Skills: leadership, agile methodologies, software development lifecycle, technical leadership, cloud-based solutions, microservices, apis, event-driven architecture, devops, ci/cd pipelines, performance monitoring, troubleshooting, scrum, azure, react.js, .net core

Summary: The position requires a minimum of 2 years of experience as a professional software developer and familiarity with structured Software Development Methodologies, preferably Agile. Strong problem-solving and analytical skills, along with proficiency in programming languages such as Java, Scala, or Python, are essential.

Skills: data engineering, software development, problem solving, analytical thinking, java, scala, python, big data, spark, hadoop, kafka, databricks, snowflake, cloud technologies, azure, aws

Summary: Candidates must have a bachelor's degree in a technical field and at least 8 years of experience in IT, including 5 years in a relevant discipline. Leadership experience and strong project management skills are essential.

Skills: ai engineering, leadership, project management, machine learning, cloud computing, aws, azure, software development, agile practices, devops, mlops, data governance, security, compliance, team collaboration, vendor management

Summary: The role requires 7+ years of experience in data engineering, particularly with high-volume consumer data in advertising. Candidates should have expert-level coding abilities in SQL and Python, along with experience in building high-throughput data pipelines.

Skills: data engineering, sql, python, etl processes, data models, data quality, monitoring systems, anomaly detection, collaboration, technical leadership, data visualization, dashboarding, advertising technology, machine learning, data infrastructure, problem solving

Summary: Candidates must be pursuing a Bachelor's or Master's degree in an information technology field with a minimum GPA of 3.0. They should be legally eligible to work in the U.S. and plan to seek full-time employment between December 2026 and September 2027.

Skills: data engineering, data pipelines, agile framework, predictive analytics, data insights, fraud detection, risk assessment, customer segmentation, operational efficiency, collaboration, problem solving, presentation skills, data management, technology, insurance, data science

Summary: 5+ years of experience in technical project management or data coordination is required. Strong understanding of media data workflows and exceptional communication skills are essential.

Skills: technical project management, data coordination, vendor management, campaign reporting, communication skills, asana, jira, cross-functional coordination, data workflows, attention to detail, process improvement, data governance, hcp media, pharmaceutical marketing, agile certification, pmp certification

Summary: Candidates should have 3-5+ years of experience with Python and SQL in data-intensive environments. A B.S. in Computer Science or a related field, or equivalent experience is required.

Skills: python, sql, docker, kubernetes, typescript, rust, aws athena, apache airflow, software engineering, code readability, testing, sql databases, api development, blockchain nodes, decentralized tech

Summary: Candidates should have 7-10+ years of relevant experience and a passion for solving complex data problems. Advanced experience with DBT, Apache Iceberg, AWS data capabilities, and expert SQL skills are essential.

Skills: data preparation, pipeline development, predictive modeling, machine learning, sql, apache spark, python, dbt, aws, data quality, data governance, mlops, feature engineering, data warehouse, change data capture, data modeling

Summary: Candidates must have 2-4 years of experience with MS SQL Server and SSIS, as well as experience in Data Engineering with tools like Hadoop and Spark. A strong background in coding commercial software and a passion for solving complex problems is essential.

Skills: data engineering, etl, ms sql server, ssis, python, aws, hadoop, spark, kafka, postgres, cassandra, airflow, data modeling, agile, data warehousing, data analysis

Summary: Join a fast-growing startup as a Senior Front-End Engineer, focusing on React Native, UI/UX design, and mobile application performance. Seek driven candidates for a full-time role.

Skills: react native, javascript, typescript

Summary: Lead full stack development with expertise in Node.js, React, and Python. Responsibilities include backend service design and mobile app development for revenue features.

Skills: node.js, react, python

Summary: 9+ years of professional software engineering experience with a proven record of building and scaling production systems. Strong debugging and problem-solving skills for complex, cross-system issues.

Skills: software engineering, technical leadership, system architecture, mentorship, coding, problem solving, debugging, collaboration, performance, observability, resilience, communication, agility, innovation, scalability, user experience

Summary: Candidates should have 3+ years of professional experience in backend software development and strong proficiency in Golang, SQL, and data warehousing concepts. Familiarity with blockchain fundamentals and experience with production-grade cloud deployments are also required.

Skills: backend software development, golang, sql, data warehousing, messaging systems, blockchain fundamentals, high-performance apis, observability metrics, monitoring tools, cloud deployments, aws, agile development, clean code practices, teamwork, communication skills

Summary: Candidates should have a Master's Degree in Healthcare Data Science or similar with 3-5 years of experience, or a Bachelor's Degree with 5-7 years of experience. Proficiency in Azure Databricks, Azure Data Factory, Python, SQL, Spark, and Terraform is required.

Skills: data engineering, cloud-native, data pipelines, azure databricks, azure data factory, python, sql, spark, terraform, data quality, governance, performance optimization, mentoring, problem-solving, collaboration, emerging technologies

Summary: Proven experience in software engineering leadership with a strong background in cloud technologies is essential. Excellent strategic thinking and communication skills are required to guide teams and articulate complex concepts.

Skills: software engineering, team leadership, cloud technologies, agile practices, code quality, system architecture, c#, react, react native, rust, python, mongodb, aws, strategic thinking, communication skills, product partnership, roadmap planning

Summary: Proven experience leading platform or systems engineering teams with deep knowledge of AWS architecture and services is required. Strong understanding of SLOs, CI/CD systems, and monitoring tools is essential.

Skills: aws, sre principles, incident management, ci/cd, kubernetes, monitoring tools, observability, automation, leadership, communication, collaboration, python, go, ruby, bash, terraform

Summary: 5+ years of experience as a senior engineer in developer productivity tools or platform services is required. Additionally, 3+ years of experience managing software engineers and 2+ years leading developer experience teams is necessary.

Skills: platform engineering, developer experience, ci/cd pipelines, cloud technologies, kubernetes, docker, terraform, database management, java, python, typescript, build systems, observability, incident management, mentoring, communication

Summary: Proven experience managing high-performing software engineering teams and strong technical proficiency in full-stack development. Hands-on experience with Microsoft 365 integrations and a solid understanding of Agile methodologies are essential.

Skills: engineering management, team leadership, project management, agile methodologies, ruby on rails, postgresql, react, microsoft 365 integrations, graph apis, oauth 2.0, cloud technologies, azure, docker, kubernetes, ci/cd tooling, communication skills, stakeholder management

Summary: Candidates must have a Bachelor’s Degree and at least 7 years of experience in data engineering, with 5 years in data architecture. Preferred qualifications include a Master’s Degree and extensive experience with various programming languages and data tools.

Skills: data engineering, data architecture, python, java, go, sql, kafka, airflow, spark, aws glue, kinesis, databricks, snowflake, machine learning, mentoring, collaboration

Summary: Candidates must have 15+ years of experience in a data-centric role and be expert in Python and SQL. Hands-on experience with Snowflake and advanced knowledge of Tableau are also required.

Skills: python, sql, snowflake, tableau, data pipelines, data transformation, analytics workflows, product kpis, collaboration, data quality, business metrics, user behavior, feature usage, data models, stakeholder engagement, cloud platforms

Summary: A Bachelor's degree in a quantitative or business field is required, along with 5 to 7 years of related experience. Candidates should have a deep understanding of cybersecurity principles and experience with various security frameworks and tools.

Skills: cybersecurity principles, security control frameworks, vulnerability management, data protection, cloud security, siem integration, detection engineering, systems administration, access controls, project management, analytical skills, mentorship, compliance, governance, operational resilience, data security strategy

Summary: Bachelor's degree with a minimum of 5 years of professional experience in data engineering is required. Candidates must have extensive experience in data engineering, analytics, and cybersecurity domains.

Skills: data engineering, analytics, cybersecurity, python, java, aws, sql, etl, data quality, data modeling, data architecture, data visualization, machine learning, cybersecurity tools, technical leadership, mentorship

Summary: Bachelor’s degree in Computer Science, Engineering, or a related field, with 4+ years of experience as a Data Engineer or in a similar analytics-focused role. Proficiency in SQL and strong experience with dbt models and Airflow pipelines is required.

Skills: data engineering, sql, dbt, airflow, data quality, data modeling, data pipelines, collaboration, documentation, analytics, automation, ai, llms, communication, agile, pyspark, databricks

Summary: Candidates should have 12+ years of software engineering experience, including 5 years in management or leadership roles. A deep understanding of cloud infrastructure and technical experience in relevant technologies is essential.

Skills: software engineering, engineering management, technical leadership, cloud infrastructure, distributed systems, secure api design, python, django, typescript, react, postgresql, aws, sdlc management, payments, card issuing, embedded banking

Summary: Candidates must be authorized to work in the US and have a minimum of 2 years of relevant experience. Proficiency in programming languages and a strong understanding of data warehousing concepts are essential.

Skills: python, sql, java, data warehousing, etl processes, database management, data streaming, data pipelines, data orchestration, agile, cloud platforms, jupyter, open-source technologies, geospatial data transformation

Summary: A minimum of 6 years of experience in software or data engineering is required, along with proficiency in programming languages such as Python, SQL, and Java. Candidates should have a strong understanding of data warehousing concepts and experience with ETL processes and data streaming technologies.

Skills: python, sql, java, data warehousing, etl processes, database management, data streaming, apache kafka, aws kinesis, apache flink, apache spark, devsecops, github, agile, cloud platforms, geospatial data

Summary: Requires 8+ years of DBA experience and strong PostgreSQL skills. Familiarity with data integration practices and cloud-based solutions is essential.

Skills: postgresql, etl, elt, data integration, sql, data modeling, apis, automation, cloud-based solutions, cross-functional collaboration, documentation, communication, chef, ruby, python, monitoring tools

Summary: Candidates must have a Bachelor’s Degree and at least 6 years of application development experience. Preferred qualifications include a Master's Degree and extensive experience with big data technologies and cloud computing.

Skills: data engineering, machine learning, distributed microservices, full stack development, java, scala, python, rdbms, nosql, cloud computing, agile engineering, data warehousing, unix/linux, streaming applications, data governance, infrastructure management

Summary: Candidates should have 8+ years of experience in data engineering, including 3+ years in a leadership role. Proven expertise in relevant technologies and a strong background in collaborating with analytics and BI teams is essential.

Skills: data engineering, leadership, airflow, dbt, python, kafka streaming, snowflake, api-based data ingestion, real-time streaming, data pipeline orchestration, data integration, analytics, ai assistance bot integration, devops, ci/cd practices, data governance

Summary: Candidates should have a BS or MS in Computer Science or a related field and at least 4 years of software engineering experience. Proficiency in Java or Python and experience with AWS services are essential.

Skills: java, python, data ingestion, data processing, aws, microservices, restful web services, continuous integration, continuous delivery, infrastructure-as-code, scrum, agile, ai, machine learning, deep learning, generative ai

Summary: A bachelor's degree in Engineering or a related field is required, with a master's degree being desirable. Candidates should have over 10 years of engineering experience, particularly in sterile pharmaceutical manufacturing and regulations.

Skills: leadership, management, analytical skills, problem-solving, team leadership, global standards implementation, partner development, matrix environment leadership, results delivery, sterile pharmaceutical manufacturing, regulatory knowledge, engineering experience, capital project governance, asset life cycle maintenance, data exchange, master planning

Summary: Minimum 5 years of experience in a product development, engineering, manufacturing, or quality environment is required. Knowledge of engineering science, manufacturing processes, and small engine components is essential.

Skills: product development, engineering, quality management, project management, collaboration, problem solving, manufacturing processes, technical integration, mechanical engineering, electrical engineering, automation, quality control, small engine components, policy development, visual project management, manufacturing documentation

Summary: Candidates should have over 5 years of experience in Microsoft Azure Data Technologies with a strong track record in consulting and relationship building. Excellent communication, analytical skills, and a passion for problem-solving are essential.

Skills: microsoft azure data technologies, azure data implementation, power bi implementation, communication skills, analytical skills, time management, problem solving, teamwork, relationship building, consulting, technical delivery, people management, client delivery objectives, team commitment, interpersonal skills, attention to detail, ownership

Summary: Candidates should have 8-10+ years of technology business leadership experience, particularly in consultancy, with expertise in modern data engineering and various data and analytics delivery competencies. A bachelor's degree is preferred.

Skills: data architecture, data engineering, azure, data warehousing, data lakes, lake house architecture, data governance, data integration, data analysis, data visualization, data quality management, data security, privacy, mdm, regulatory compliance, enterprise architecture

Summary: Candidates should have a bachelor's degree in Electrical Engineering and 4-6 years of relevant experience. Proficiency in programming and familiarity with various electrical modeling tools is also required.

Skills: electrical engineering, power systems analysis, relay coordination, automation development, pcb design, programming, dcim integration, problem solving, solid-state power systems, iot telemetry, bms integration, hardware prototyping, plc programming, professional engineering certification, 3d printing, embedded programming

Summary: 1–2 years of experience in a data-related or operations role preferred. Basic understanding of data processing and data quality principles, along with hands-on experience writing SQL queries.

Skills: data integration, data quality, etl processes, sql, problem solving, communication, healthcare data standards, documentation, data validation, collaboration, attention to detail, process consistency, automation tools, data processing, troubleshooting, growth orientation

Summary: Candidates should have 7+ years of data engineering experience, particularly in healthcare datasets. Strong SQL skills and experience with modern data tools like dbt, Airflow, and Snowflake are essential.

Skills: data engineering, healthcare datasets, sql, data modeling, elt pipelines, automation, incident management, root-cause analysis, communication, stakeholder management, mentoring, data quality, python, airflow, snowflake, dbt

Summary: Proven experience leading engineering teams delivering products at scale is essential. A deep technical background, preferably in Rust, along with strong cross-functional leadership and excellent communication skills are required.

Skills: engineering management, payments, blockchain, api design, backend development, frontend development, cross-functional leadership, communication, stakeholder management, customer empathy, fintech, payment products, systems design, distributed architectures, rust, microservices

Summary: Candidates should have a bachelor's degree in a related field and a minimum of 2 years of experience as a Data Engineer or similar role. Hands-on experience with Azure Synapse and strong knowledge of database architecture is also required.

Skills: data engineering, database solutions, data pipelines, etl processes, azure synapse, pyspark, spark sql, data quality, data integrity, database performance, problem solving, collaboration, agile environment, data warehousing, data modeling, technical solutions

Summary: Seeking a Senior Software Engineer for data infrastructure. Key skills required: Python, Apache Airflow, Google Cloud Platform.

Skills: python, postgresql, elasticsearch, google cloud platform (gcp), llms, langchain, genai

Summary: Requires a Bachelor's degree and 6+ years of related experience, including prior management experience. Equivalent experience may also be considered.

Skills: java, react, aws, ci/cd

Summary: Candidates should have depth in distributed systems and experience with columnar formats and low-level encoding strategies. Proficiency in programming languages such as Java, Rust, Go, or C++ is essential, along with a curiosity about data representation and learning efficiency.

Skills: distributed systems, columnar formats, metadata-driven architectures, adaptive query planning, spark, flink, java, rust, go, c++, compression, entropy, learning efficiency, systems thinking

Summary: Candidates should have 5 to 7 years of experience in data engineering with a strong command of Java and Scala. A graduate degree and proficiency in English (C1) are required.

Skills: java, scala, python, hadoop, spark, ab initio, informatica, etl processes, data mapping, restful apis, json, devops, agile methodologies, statistical approaches, data quality management, detection logic

Summary: Candidates should have 4 to 5 years of experience and a Bachelor's degree. Proficiency in Azure, Databricks, SQL, and Python is essential, along with strong analytical and technical capabilities.

Skills: microsoft azure cloud, databricks, pyspark, python, sql, machine learning, devops, ci/cd, git, docker, kubernetes, bash, data engineering, data architecture, etl, data integration

Summary: Candidates should have 5+ years of software development experience, with at least 2 years in a leadership role. Proficiency in Python and experience with cloud platforms are essential, along with a solid understanding of system architecture.

Skills: software development, engineering management, real-time systems, python, cloud platforms, system architecture, api design, hiring, mentoring, technical direction, communication

Summary: Candidates should have over 5 years of software engineering experience, including 2 years in a management role. Experience in AI infrastructure and a strong ability to provide constructive feedback on technical designs is essential.

Skills: software engineering, team management, ai infrastructure, llm workflows, agentic systems, technical design, code reviews, cloud platforms, containers, databases, frontend frameworks, hiring, mentorship, fast-paced environment, startup experience

Summary: Candidates should have 15+ years of experience in Data Management, with at least 5 years specializing in Informatica MDM. Strong expertise in MDM architecture, data integration methodologies, and excellent communication skills are essential.

Skills: data management, informatica mdm, mdm architecture, data stewardship, data governance, cloud deployments, etl tools, data modeling, relational databases, agile development, devops practices, project management, vendor management, stakeholder management, leadership, communication

Summary: Candidates should have 9+ years of software development experience, including 3-5+ years in engineering management. Expertise in AI/ML and experience with KYC, AML, or compliance systems in fintech are essential.

Skills: software development, engineering management, ai, machine learning, kyc, aml, risk management, compliance, backend systems, decision automation, operational excellence, technical leadership, collaboration, talent development, system reliability, user experience

Summary: 8+ years of data engineering experience with at least 3-5 years in a technical lead role. Expertise in the Microsoft Azure ecosystem and hands-on experience with major cloud platforms.

Skills: data engineering, azure data factory, synapse, databricks, data lake, etl, elt, sql, python, cloud platforms, dataops, devops, business intelligence, communication skills, project management, automation

Summary: Candidates must be currently registered in a Bachelor’s or Master’s degree program in a relevant engineering discipline. Proficiency in Python and outstanding academic credentials are required.

Skills: python, data extraction, data transformation, data visualization, artificial intelligence, machine learning, document processing, azure ai, cloud services, rest apis, data cleaning, quality checks, exploratory analysis, technical writing, problem solving, collaboration

Summary: At least 4 years of direct people-management experience leading software engineering teams is required. Strong leadership skills and expertise in scalable system architecture and software engineering best practices are essential.

Skills: leadership, software development, ai workflows, document generation, mentorship, collaboration, engineering best practices, system architecture, automated testing, security, observability, reliability, cross-functional collaboration, llm integration, continuous learning, inclusivity

Summary: Candidates should have 8+ years of experience in Database or Data Infrastructure Engineering, with a strong focus on cloud-based data infrastructure. Extensive expertise in AWS data environments and proficiency in relevant programming languages is required.

Skills: database engineering, data infrastructure engineering, aws, postgresql, aurora, snowflake, sql, python, terraform, ci/cd, data modeling, observability, infrastructure as code, data governance, streaming pipelines, machine learning, analytics

Summary: The role typically requires 2+ years of experience in software development with a Master's degree or 4+ years with a Bachelor's degree. Strong knowledge of programming languages and cloud technologies is essential, along with excellent communication skills.

Skills: java, python, sql, airflow, cloud computing, data engineering, data warehousing, golang, agile methodologies, distributed systems, problem solving, software design, communication, collaboration, automation, sla measurement

Summary: Proven skills in Python and front-end development, with experience in frameworks and cloud services. A passion for enhancing developer productivity and a solid understanding of CI/CD systems are essential.

Skills: python, javascript, fastapi, flask, django, gcp, aws, rest, sql, ci/cd, github actions, circleci, data analysis, containerization, docker, cross-platform

Summary: Proven skills in Python and front-end development, with experience in CI/CD systems and cloud services. A passion for enhancing developer productivity and a solid understanding of databases is essential.

Skills: python, javascript, fastapi, flask, django, gcp, aws, rest, sql, ci/cd, github actions, circleci, data analysis, containerization, docker, cross-platform

Summary: Proven skills in Python and front-end development, with experience in frameworks and cloud services. A passion for enhancing developer productivity and a solid understanding of databases is essential.

Skills: python, javascript, fastapi, flask, django, gcp, aws, rest, sql, ci/cd, github actions, circleci, data analysis, containerization, docker, version control systems

Summary: Proven skills in Python and front-end development, with experience in various frameworks and cloud services. A passion for enhancing developer productivity and a solid understanding of databases and CI/CD systems are essential.

Skills: python, javascript, fastapi, flask, django, gcp, aws, rest, sql, ci/cd, github actions, circleci, windows, linux, mac, android

Summary: Proven skills in Python and front-end development, particularly with JavaScript. Experience with CI/CD systems and a solid understanding of databases and SQL is essential.

Skills: python, javascript, fastapi, flask, django, gcp, aws, rest, sql, ci/cd, github actions, circleci, data analysis, containerization, docker, cross-platform

Summary: Proven skills in Python and front-end development, with experience in frameworks and cloud services. A passion for enhancing developer productivity and a solid understanding of databases and CI/CD systems are essential.

Skills: python, javascript, fastapi, flask, django, gcp, aws, rest, sql, ci/cd, github actions, circleci, data analysis, containerization, docker, version control

Summary: Proven skills in Python and front-end development, particularly with JavaScript. Experience with CI/CD systems and a solid understanding of databases and SQL is essential.

Skills: python, javascript, fastapi, flask, django, gcp, aws, rest, sql, ci/cd, github actions, circleci, data analysis, containerization, docker

Summary: Proven skills in Python and front-end development, with experience in frameworks and cloud services. A solid understanding of databases, CI/CD systems, and a passion for enhancing developer productivity is essential.

Skills: python, javascript, fastapi, flask, django, gcp, aws, rest, sql, ci/cd, github actions, circleci, windows, linux, mac, android

Summary: The role requires 8+ years of experience in designing and scaling data systems, with proven technical leadership in complex data ecosystems. Candidates should have deep experience with modern data stacks and strong collaboration skills.

Skills: data engineering, data architecture, sql, python, data quality, data integration, cloud-native warehouses, orchestration tools, transformation frameworks, collaboration, mentorship, data systems, real-time data products, apache kafka, analytics, machine learning

Summary: Candidates should have 7+ years of data engineering experience, including leadership roles. Deep experience with healthcare datasets and strong SQL skills are essential.

Skills: data engineering, healthcare datasets, sql, data modeling, elt, automation, incident management, communication, stakeholder management, interoperability, python, aws, snowflake, dbt, airflow, performance metrics

Summary: Candidates should have over 7 years of experience in software engineering with a focus on full-stack development and at least 2 years in a formal management role. Expertise in Ruby on Rails and familiarity with e-commerce platforms, particularly Solidus or Spree, is essential.

Skills: software engineering, team management, ruby on rails, e-commerce, technical leadership, architecture, automated testing, agile methodologies, javascript, html, css, code reviews, project delivery, ai tooling, technical roadmap, collaboration, mentorship

Summary: Candidates should have over 8 years of software engineering experience with a strong technical background in modern web development and cloud infrastructure. Experience in managing teams in regulated environments and a track record of successful project delivery is essential.

Skills: software engineering, leadership, java, javascript, react, spring, nextjs, aws, sql, nosql, agile, project management, mentoring, healthcare it, distributed systems, coding

Summary: 3–5 years of hands-on experience as a Data Engineer or Analytics Engineer is required. Advanced proficiency in SQL, dbt, and Python, along with experience in cloud data warehouses and ETL tools, is essential.

Skills: data engineering, analytics engineering, sql, dbt, python, cloud data warehouses, snowflake, etl, orchestration tools, fivetran, stitch, airflow, collaboration, problem-solving, data governance, machine learning

Summary: 3–5 years of hands-on experience as a Data Engineer or Analytics Engineer is required. Advanced proficiency in SQL, dbt, and Python, along with experience in cloud data warehouses and ETL tools, is essential.

Skills: data engineering, analytics engineering, sql, dbt, python, cloud data warehousing, snowflake, etl, orchestration tools, fivetran, stitch, airflow, collaboration, problem-solving, data governance, machine learning

Summary: Join as a Full Stack Developer focusing on automation workflows. Requires Node.js, MongoDB, and SQL experience. Varies salary based on location and experience.

Skills: node.js, mongodb, sql

Summary: Seeking software engineering interns to enhance data pipelines and AI systems. Skills needed: Flask, Python, AWS.

Skills: flask, python, aws

Summary: Join a fast-paced team to design, build, and scale AI Security Agents. Top skills: Python, APIs, Postgres.

Skills: python, postgres, docker

Summary: Candidates should have 7+ years of experience in backend or data engineering, including 2+ years in a management role. Strong communication skills and a passion for mentoring are essential, along with experience in modern microservices and AWS.

Skills: backend engineering, data engineering, team leadership, mentoring, microservices, real-time processing, typescript, node.js, aws, ci/cd, observability, technical roadmaps, architecture discussions, debugging, career development, collaboration

Summary: 3+ years of product management experience in technical domains such as platform engineering or developer tooling is required. Hands-on experience with big data technologies and a strong understanding of data infrastructure and orchestration frameworks are essential.

Skills: product management, data engineering, data pipelines, data warehousing, stakeholder management, agile methodologies, big data technologies, data infrastructure, orchestration frameworks, data streaming technologies, user stories, ai tools, collaboration, communication, prioritization, feedback gathering

Summary: 7+ years of professional experience in software development with 4+ years in a leadership role. Advanced proficiency in React, TypeScript, and experience with cloud native applications is required.

Skills: react, next.js, typescript, node.js, ai, cloud native applications, devops, ci/cd, secure coding practices, api design, data modeling, mentorship, technical leadership, performance optimization, system reliability, collaboration

Summary: A bachelor's degree in Computer Science, Engineering, or Information Technology is required, along with at least 4 years of experience in technical support or related fields. Experience with public cloud platforms, particularly AWS, is also necessary.

Skills: technical support, cloud infrastructure, data security, troubleshooting, incident management, root cause analysis, documentation, collaboration, mentorship, salesforce, jira, slack, pagerduty, containerization, scripting, networking

Summary: Candidates must have a bachelor's degree in a relevant field and at least 4 years of experience in technical support or related areas. Experience with public cloud platforms and data security is also required.

Skills: technical support, cloud infrastructure, data security, troubleshooting, incident management, root cause analysis, documentation, collaboration, mentorship, salesforce, jira, slack, pagerduty, containerization, scripting, networking

Summary: Requires a Bachelor's degree and 7+ years of related experience, including prior management experience. Technical skills in areas such as Member or Provider Portals, Data Integration, and various programming languages are desired.

Skills: application development, data integration, healthcare, react, java, aws, ci/cd, automation

Summary: Requires a Bachelor's degree and 6+ years of related experience, including prior management experience. Technical skills in mobile development, React Native, and Nodejs are desired.

Skills: mobile development, react native, nodejs

Summary: Candidates should have 15+ years of experience building and scaling complex data systems, particularly in early- or growth-stage SaaS companies. A deep understanding of large-scale data pipelines and distributed systems is essential.

Skills: data pipeline architecture, distributed systems, system design patterns, real-world tradeoffs, collaboration, communication, mentoring, innovation, simplicity, reliability, performance, cloud technologies, event-driven architecture, saas, ai, cost attribution

Summary: Candidates should have 10+ years of experience in solutions engineering and a proven track record with financial institutions. Proficiency in TypeScript and strong knowledge of cloud-native systems and enterprise security compliance is essential.

Skills: solutions engineering, enterprise integration, technical leadership, cloud-native systems, microservices, serverless architectures, security compliance, api experience, typescript, troubleshooting, communication, blockchain, digital assets, financial workflows, technical documentation, thought leadership

Summary: Candidates should have over 10 years of experience in solutions engineering and a proven track record in deploying mission-critical systems for financial institutions. Proficiency in TypeScript and strong knowledge of cloud-native systems and enterprise security compliance is essential.

Skills: solutions engineering, enterprise integration, technical leadership, cloud-native systems, microservices, serverless architectures, api experience, security compliance, troubleshooting, communication, blockchain, digital assets, financial workflows, typescript, aws, iso 27001

Summary: 10+ years of experience in solutions engineering or enterprise integration with proven leadership. Proficient in TypeScript and knowledgeable in cloud-native systems and enterprise security compliance.

Skills: solutions engineering, enterprise integration, technical documentation, cloud-native systems, microservices, serverless architectures, security compliance, api experience, typescript, troubleshooting, communication, blockchain, digital assets, financial workflows, leadership, thought leadership

Summary: Candidates should have over 10 years of experience in solutions engineering and a proven track record in deploying mission-critical systems for financial institutions. Proficiency in TypeScript and strong knowledge of cloud-native systems and enterprise security compliance is essential.

Skills: solutions engineering, enterprise integration, technical leadership, cloud-native systems, microservices, serverless architectures, security compliance, api experience, typescript, troubleshooting, communication, blockchain, digital assets, financial workflows, technical documentation, client feedback

Summary: Candidates should have 5+ years of software development experience, with at least 2 years in a leadership role. Proficiency in Python and experience with cloud platforms are essential, along with a solid understanding of system architecture.

Skills: software development, engineering management, real-time systems, python, cloud platforms, system architecture, api design, hiring, mentoring, technical direction, communication

Summary: Candidates should have 5+ years of software development experience, with at least 2 years in a leadership role. Proficiency in Python and experience with high-load real-time systems are essential.

Skills: software development, engineering management, real-time systems, python, cloud platforms, system architecture, api design, hiring, mentoring, technical direction, communication

Summary: A bachelor's degree in Electrical Engineering and an active Professional Engineer (PE) license are highly desirable. Established experience in electrical engineering design for industrial facilities and demonstrated leadership abilities are essential.

Skills: electrical engineering, team leadership, project management, technical design, budget management, client interaction, performance evaluation, training development, innovation, collaboration, power distribution, fire alarm systems, lighting systems, grounding systems, technical presentations, business development

Summary: 8+ years in software engineering with 3+ in management or technical leadership is required. Proven experience leading DevOps, Data, Infrastructure, or Platform teams in SaaS environments is essential.

Skills: software engineering, management, devops, data, infrastructure, cloud architecture, ci/cd, iac, containerized deployments, ai/ml integration, security best practices, developer platforms, mentorship, incident response, continuous improvement, engineering practices

Summary: Candidates must have a bachelor's degree in a relevant field and at least 4 years of experience in technical support or related areas. Experience with public cloud platforms and data security is also required.

Skills: technical support, systems administration, software engineering, solutions architecture, infrastructure architecture, database architecture, data security, public cloud, containerization, orchestration, scripting, automation, monitoring, networking, data tokenization, encryption

Summary: Candidates should have 3+ years of experience in data engineering or backend engineering with a strong data focus. A deep understanding of modern data architecture and strong programming skills in Go or Python are essential.

Skills: data engineering, backend engineering, data architecture, etl, elt, go, python, sql, aws, kubernetes, data security, data reliability, data visualization, data governance, blockchain, analytics

Summary: 8+ years of experience as a software engineer with at least 3+ years in Node.js is required. Expertise in building web crawlers and strong experience with asynchronous programming and databases is essential.

Skills: node.js, automation, web crawlers, data processing, puppeteer, asynchronous programming, event-driven architecture, message brokers, postgresql, sql, nosql, kubernetes, cloud services, security best practices, distributed systems, problem-solving

Summary: 4 years of hands-on experience building and maintaining data pipelines in a cloud environment is required, with a strong emphasis on Snowflake. Candidates should also have 2+ years of Python experience and strong SQL skills.

Skills: data pipelines, data quality, data modeling, python, sql, dbt, etl, elt, data integration, data observability, data governance, bi tools, cross-functional projects, fivetran, kafka, cloud environment

Summary: Candidates should have 15+ years of experience building and scaling complex data systems, particularly in early- or growth-stage SaaS companies. A deep understanding of large-scale data pipelines and distributed systems is essential, along with strong communication skills.

Skills: data pipeline architecture, distributed systems, system design patterns, real-world tradeoffs, collaboration, communication, mentoring, innovation, simplicity, reliability, performance, cost attribution, event-driven architecture, cloud computing, saas, ai

Summary: Candidates should have over 5 years of experience managing data engineering teams in a B2B SaaS environment. A strong understanding of data platform engineering and the ability to handle complex engineering challenges is essential.

Skills: data engineering, data architecture, event streaming, pipeline monitoring, query optimization, data modeling, distributed systems, warehouse optimization, cost management, team management, cloud providers, data quality, performance tradeoffs, real-time processing, data ingestion, data consistency

Summary: Candidates should have a Bachelor's Degree or equivalent experience and at least 8 years of professional experience in the software industry, including 1 year in a management role. Proficiency in Go or Python and familiarity with modern system architectures are preferred.

Skills: go, python, docker, postgresql, api design, cloud computing, kubernetes, microservices, grpc, rest, async messaging, software development lifecycle, service level agreements, team development, technical leadership, system design, architecture decisions

Summary: Bachelor’s degree with a minimum of 5 years of professional experience in data engineering is required. Candidates with an associate degree or high school diploma and additional years of experience may also qualify.

Skills: data engineering, analytics, cybersecurity, python, java, aws, sql, etl, data quality, data modeling, data architecture, machine learning, cybersecurity tools, data visualization, data analysis, cloud platforms

Summary: A bachelor's degree with a minimum of 5 years of professional experience in data engineering is required. Candidates must have extensive experience in data engineering, analytics, and cybersecurity domains.

Skills: data engineering, analytics, cybersecurity, python, java, aws, sql, etl, data quality, data modeling, data architecture, machine learning, cybersecurity tools, data visualization, data profiling, data analysis

Summary: Strong programming skills in modern C++ and experience in real-time processing are essential. A good understanding of microservice architecture and secure coding practices is also required.

Skills: c++, agile practices, team management, real-time processing, application reliability, microservice architecture, secure code practices, secure communications, security standards, build pipelines, ci/cd, linux internals, rust, cloud development, aws

Summary: High School diploma equivalency with 2 years of cumulative experience or an Associate's/Bachelor's degree with 1 year of experience is required. A Bachelor's degree in a related field and 5+ years of experience in data engineering are preferred.

Skills: data engineering, data ingestion, pipeline development, data warehousing, sql, relational databases, nosql databases, data visualization, real-time data streaming, cloud-based data platforms, python, java, scala, etl/elt tools, data governance, data security, data quality

Summary: Candidates should have 5+ years of experience in data engineering, preferably in high-growth startups, with strong skills in cloud platforms and data modeling. Familiarity with workflow orchestration tools and data transformation frameworks is also required.

Skills: data engineering, data pipelines, data modeling, sql, python, cloud platforms, aws, gcp, workflow orchestration, prefect, airflow, data transformation, dbt, kafka, olap platforms, snowflake, redshift

Summary: Proficiency in SQL and familiarity with data warehouses and BI tools is required. A track record of autonomous work and exposure to dbt or similar tools is preferred.

Skills: sql, data warehouses, business intelligence, communication skills, organizational skills, time management, autonomy, dbt, data transformation, ai coding assistants, llms, data modeling, data integration, data ecosystem, data products, customer insights

Summary: Candidates should have 5+ years of experience in developing and operating production systems, particularly in a cloud environment. Strong skills in data modeling, pipeline design, and programming languages like Python and SQL are essential.

Skills: data engineering, aws, python, sql, data quality, data governance, ci/cd, infrastructure as code, event-driven architectures, data models, data pipelines, spark, athena, mlops, docker, databricks

Summary: 5+ years of experience in a relevant field with a focus on personalized feed ranking. Proven ability to deliver complex machine learning projects and mentor junior team members.

Skills: machine learning, ranking, data science, mentoring, a/b testing, algorithm development, distributed systems, programming, statistical analysis, sequence modeling, reinforcement learning, transformer architecture, bayesian methodology, experimentation, collaboration, communication

Summary: Candidates should have a minimum of 5 to 7 years of experience in IT, with at least 3 years specifically in data engineering and analytics. Strong expertise in data modeling, ETL processes, and advanced SQL is required.

Skills: aws, azure, databricks, snowflake, sql, data modeling, etl development, data warehousing, bi reporting, data quality, performance monitoring, agile methodologies, problem solving, analytical thinking, automation, continuous improvement

Summary: Join the engineering team to build consumer applications using Typescript, web or mobile development skills, and APIs. Opportunities for full-stack development during Summer 2025.

Skills: typescript, react, web

Summary: Candidates must have a bachelor's degree in computer science or a related field and at least 7 years of experience in data engineering or big data development. Proficiency in Cloudera platform and strong programming skills in Scala, Java, and HiveQL are required.

Skills: cloudera, aws, hdfs, yarn, hive, spark, scala, java, python, bash, data engineering, big data, devops, data governance, drools, metadata

Summary: Candidates must have a mastery of an object-oriented programming language, preferably Java, and a modern scripting language, preferably Python. A bachelor's degree or equivalent in a related field is required, along with 5-7 years of relevant work experience.

Skills: software engineering, data engineering, leadership, mentoring, collaboration, java, python, sql, automation, cloud technologies, vendor management, agile methodologies, problem solving, system monitoring, technical escalation, data systems

Summary: A Bachelor's degree in a quantitative or business field is required, along with 5-7 years of related experience. Candidates should possess advanced proficiency in Databricks and experience in building scalable data pipelines.

Skills: databricks lakehouse, unity catalog, pyspark, sql, python, aws, data pipeline optimization, data modeling, healthcare data, databricks api, ci/cd, automation, data governance, data transformation, data validation, data quality

Summary: Candidates should have 8+ years of experience in Software Engineering or Data Engineering, particularly in high-traffic and fault-tolerant environments. Proficiency in technologies such as Spark, Python, and various Big Data technologies is essential.

Skills: software engineering, data engineering, architecture, design patterns, real-time data pipelines, spark, python, dbt, c#, sql, big data technologies, streaming platforms, generative ai technologies, data quality, automation tools, code reviews

Summary: Candidates should have over 10 years of experience in senior engineering roles, with at least 5 years as a technical lead. Experience with compliance, particularly in FedRAMP or DoD environments, is also required.

Skills: technical leadership, cross-functional collaboration, mentorship, strategic impact, compliance experience

Summary: Candidates should have a BA degree in computer science or a related field and 3-5+ years of experience in MSSQL T-SQL and SSIS development. Proficiency in programming languages like C# and Python, along with excellent communication skills, is essential.

Skills: sql, etl, data integration, t-sql, ssis, data warehouse, c#, python, data analysis, problem solving, communication, performance tuning, database optimization, technical design, troubleshooting, requirements gathering

Summary: Candidates should have a Bachelor's Degree in Computer Science or equivalent experience, with 4 years of software engineering experience focused on Python and data engineering. Proficiency in cloud technologies and data processing tools is also required.

Skills: python, sql, data engineering, data integration, data quality, relational databases, nosql, data lakehouses, cloud technologies, microsoft azure, rest standards, data movement solutions, data transformation solutions, workflow orchestration tools, ci/cd, container technology

Summary: Candidates should have over 8 years of software engineering experience, including at least 1 year in a management role. Deep technical expertise in React, TypeScript, and modern frontend architecture patterns is essential.

Skills: react, typescript, webpack, micro frontends, module federation, monorepos, capacitorjs, responsive design, mentoring, team leadership, incident resolution, code quality, performance optimization, cross-platform architecture, communication, problem solving

Summary: Candidates should have over 10 years of experience in Technical Program Management, Product Management, Strategy, or Operations within technology environments. A background in STEM and strong communication skills are essential for navigating technical conversations and aligning diverse stakeholders.

Skills: technical program management, product management, strategy, operations, project management, communication, budget management, kpi tracking, organizational improvement, decision-making, operational efficiency, stakeholder alignment, high eq, consensus building, problem solving, strategic thinking, action orientation

Summary: Candidates must be enrolled as full-time students studying Computer Science or a related degree program during the Spring 2026 Semester. Proficiency in high-level programming languages and knowledge of software engineering principles are required.

Skills: software engineering, c#, java, sql, oracle, typescript, react, angular, javascript, object oriented programming, problem solving, teamwork, learning, software testing, software development, business applications

Summary: Candidates should have a bachelor's degree or equivalent experience, with over 5 years in recruitment, particularly in software and design engineering. Expertise in sourcing, screening, and managing complex offers is essential, along with strong advisory skills.

Skills: talent acquisition, sourcing techniques, screening skills, negotiation capabilities, recruitment strategies, stakeholder advisory, data analysis, process optimization, candidate engagement, offer negotiation, interpersonal skills, communication skills, recruitment tools, software development, design engineering, gas power

Summary: The position requires a minimum of 7 years in instrumentation/controls programming and 3 years in HVAC controls and electrical power monitoring. A bachelor's degree in Engineering, Construction Management, or equivalent experience is also required.

Skills: controls engineering, project management, bms, epms, plc, scada, hvac controls, electrical power monitoring, industrial automation, building management systems, quality assurance, risk mitigation, continuous improvement, vendor management, stakeholder communication, troubleshooting

Summary: Candidates need 2+ years of related experience and a bachelor's degree in relevant fields such as Data Science or Information Management Analytics. Knowledge of programming languages and strong analytical skills are essential.

Skills: data engineering, data collection, data analysis, programming languages, scripting languages, microsoft office 365, business acumen, analytical skills, communication skills, critical thinking, attention to detail, math skills, problem-solving skills, insurance knowledge, self-motivated, organized

Summary: A Bachelor’s degree in Computer Science, Information Systems, or a related field is required, along with 0-2 years of experience in data engineering or integration. Familiarity with SQL and a programming language, as well as strong analytical and communication skills, are essential.

Skills: etl, data integration, sql, python, c#, cloud platforms, data modeling, schema design, data extraction, data transformation, data loading, troubleshooting, analytical skills, communication skills, teamwork, adaptability

Summary: A bachelor's or graduate degree in a related discipline is required, along with 4-6 years of experience in data engineering. Proficiency in SQL and hands-on experience with Snowflake and DBT are essential.

Skills: data engineering, snowflake, dbt, sql, azure data factory, etl, elt, data governance, data pipelines, data warehousing, rest apis, relational databases, nosql databases, cloud platforms, documentation, collaboration, bilingual

Summary: Extensive experience as a Data Engineer with deep expertise in Azure data platform services is required. Strong programming skills in Python and proficiency in SQL are essential, along with a solid understanding of data governance principles.

Skills: azure data factory, databricks, data governance, data quality, data security, sql, python, scala, data modelling, schema design, data warehousing, git, problem-solving, communication, mentoring, real-time data streaming, ci/cd

Summary: Extensive experience with the full Elasticsearch stack and SQL database technologies is required. Familiarity with AWS, Python, and Agile methodologies is also essential.

Skills: data engineering, sql, nosql, elasticsearch, aws, linux, docker, kubernetes, python, agile, natural language processing, machine learning, data storage, data retrieval, security best practices, data analysis

Summary: Candidates should have strong experience with data management and a commitment to the pro-life movement. Familiarity with web development and analytical skills are preferred, but training is available.

Skills: data management, web development, automation, apis, survey design, polling analysis, data reporting, problem solving, attention to detail, communication, bubble.io, python, sql, javascript, political data tools, voter files

Summary: Lead Node.js engineering for automation workflows, using React, MongoDB, and Kubernetes. Collaborate with teams to define strategy and mentor developers in a remote role.

Skills: node.js, mongodb, kubernetes

Summary: Join as a software engineering intern to build backend systems for data analysis using Flask, Python, and AWS. Work directly with founders on impactful projects.

Skills: flask, python, aws

Summary: Candidates should have proven experience leading software engineering teams in an agile environment and a strong technical background in modern software development. A bachelor's degree in a related field and 5-8 years of software development experience, including at least 2 years in a leadership role, are preferred.

Skills: leadership, software development, agile methodologies, java, .net, cloud platforms, apis, devops, ci/cd, problem-solving, decision-making, collaboration, coaching, career development, technical design, project management

Summary: Candidates must have a minimum of 14 years of relevant experience in software engineering and a proven track record in building scalable software systems. Experience with cloud infrastructure, AI/ML services, and team leadership is also required.

Skills: software engineering, cloud native, kubernetes, ai/ml, software development life cycle, team management, technical vision, automation, compliance, security, data analytics, devsecops, prototyping, collaboration, agile methodologies, software standards

Summary: Candidates should have a Bachelor's Degree in a relevant field and 1-3 years of experience in Software Engineering or Data Engineering. Knowledge of Databricks, Spark, and experience with AWS services are preferred.

Skills: data engineering, big data, cloud-based analysis, data pipelines, aws, databricks, redshift, python, spark, data processing, data integration, data cleaning, data visualization, agile, linux

Summary: Candidates should have 3+ years of experience in data engineering roles and strong experience with ETL tools and cloud platforms. Familiarity with data visualization tools and performance tuning techniques is also required.

Skills: data engineering, etl tools, google cloud platform, performance tuning, data visualization, data pipelines, aws technologies, python, nosql databases, machine learning, data science, data warehousing, realtime streaming, bi tools, java

Summary: A Bachelor's Degree in Computer Science or a related field is required, along with 1-3 years of experience in Software Engineering or Data Engineering. Knowledge of Databricks, Spark, and experience with Python or similar programming languages is essential.

Skills: data engineering, cloud-based analysis, big data engineering, machine learning, data pipelines, aws, databricks, redshift, python, spark, data integration, data cleaning, data visualization, software development, agile, linux

Summary: Candidates should have a bachelor's degree or equivalent experience, with over 5 years in recruitment, particularly in Software Development and Design Engineering. Experience with TA tools and strong advisory skills are essential.

Skills: talent acquisition, recruitment strategies, sourcing techniques, screening skills, negotiation skills, data analysis, stakeholder advisory, candidate engagement, offer negotiation, process improvement, interpersonal skills, communication skills, technical expertise, cultural fit, leadership potential, ats systems

Summary: Candidates should have 2+ years of related experience and a bachelor's degree in relevant fields. Knowledge of programming and scripting languages, as well as strong analytical and communication skills, are essential.

Skills: data engineering, data collection, data analysis, programming languages, scripting languages, microsoft office 365, business acumen, analytical skills, communication skills, critical thinking, attention to detail, math skills, self-motivated, organized, problem-solving skills, interpersonal skills

Summary: 5+ years of experience in software engineering, focusing on backend or infrastructure development. Proven experience designing and building distributed data infrastructure at scale with strong expertise in batch and streaming processing technologies.

Skills: software engineering, data infrastructure, distributed systems, batch processing, streaming processing, data reliability, data consistency, data performance, collaboration, technical best practices, mentoring, ai/ml pipelines, golang, python, sql, snowflake

Summary: Extensive experience in building or operating release engineering systems at scale is required. Proficiency in developing scalable systems, particularly using Go or similar languages, is essential.

Skills: release engineering, build systems, deployment pipelines, release automation, workflow orchestration, scalable systems, distributed systems, go, kubernetes, containerized deployments, cloud environments, aws, gcp, collaboration, documentation, automation

Summary: The ideal candidate will have 10+ years of product management experience, including 4+ years leading hardware or connected device products. A deep understanding of hardware and software development processes is essential.

Skills: product management, product lifecycle management, customer discovery, concept design, data-driven decisions, cross-functional collaboration, kpi tracking, analytical skills, communication skills, storytelling, leadership skills, user experience, technical constraints, connected devices, hardware development, software development

Summary: Bachelor's degree in a related field or equivalent experience is required. Candidates should have 7+ years of professional experience in data engineering and 4+ years of Python development experience.

Skills: data engineering, etl, aws, python, relational databases, data warehousing, data lakes, master data management, containerization, kubernetes, linux, bash scripting, airflow, dbt, machine learning, business intelligence

Summary: The successful candidate will have 5 years of experience in Data Science and 2+ years of experience developing using Python. They should also have experience with machine learning models, data analysis, and visualization.

Skills: data science, machine learning, python, business intelligence, siem tools, data preparation, data visualization, big data technologies, exploratory data analysis, security concepts, technical writing, analytical skills, problem-solving skills, ai, data management tools, attention to detail

Summary: Candidates should have 10+ years of professional software engineering experience and 5 years of experience leading other software engineers. Expertise in data architecture, Python, Typescript, SQL, and AWS is required.

Skills: data architecture, business intelligence, elt development, data transformation, data modeling, report design, python, typescript, sql, infrastructure as code, aws, etl tooling, kinesis data streaming, tableau, hipaa, golang

Summary: Candidates should have over 10 years of software development experience and at least 4 years in a management role. A strong background in AI/ML features relevant to search and experience with cloud applications is essential.

Skills: software development, management, ai/ml features, natural language processing, cloud applications, agile/scrum, recruiting, retention, opensearch, elasticsearch, team building, technical leadership, project management, communication, operational excellence, mentoring

Summary: Candidates should have expert-level knowledge of the Microsoft .NET technology stack and experience with large-scale enterprise web applications. A degree in a related technical field is required, alo

Skills: responsive web application development, distributed systems, technical leadership, process management, microsoft .net, c#, asp.net mvc, web apis, sql databases, performance monitoring, continuous integration, cloud technologies, technical writing, communication skills, mentoring, team building

Summary: Candidates should have a bachelor's degree in a relevant field and at least 2 years of engineering leadership experience. A strong engineering background with experience in mobile application developm

Skills: software engineering, team leadership, mobile applications, java, javascript, react, react native, postgresql, aws, git, github, product development, data quality, healthcare data, technical guidance, continuous improvement

Summary: Candidates should have a bachelor's degree in a STEM field or equivalent experience, along with 6+ years of software development experience. A strong background in Angular and Java, as well as experie

Skills: angular, java, javascript, html, css, es6, restful apis, microservices, spring boot, spring jpa, hibernate, spring security, ci/cd, docker, kubernetes, problem-solving, mentoring

Summary: Candidates should have at least 10 years of professional development experience, with 7 years focused on Java/Spring Boot microservices. Experience with cloud technologies, data engineering, and AI in

Skills: java, spring boot, microservices, jenkins, docker, kubernetes, cloud, azure, aws, data pipelines, real time processing, lakehouse architecture, apache hudi, ai integration, big data, enterprise design patterns

Summary: A Bachelor's degree in a quantitative or business field is required, along with 4-6 years of related experience. Candidates should have experience with Big Data, data processing, and programming langu

Skills: data engineering, data pipelines, data ingestion, data transformation, data validation, data quality, data processing, cloud infrastructure, c#, java, python, sql, data manipulation, data mining, automation, project management

Summary: Bachelor's/Master's degree in Computer Science or Software Engineering with 10+ years of software engineering experience. Proven expertise in financial systems and large-scale distributed systems is r

Skills: software engineering, financial systems, leadership, api-driven architecture, microservices, event-driven architecture, ci/cd pipelines, security, compliance, risk management, team development, collaboration, cloud-native systems, kafka, observability, erp systems

Summary: Candidates must have six years of information systems experience in Data and Metadata Management or relevant educational qualifications. Special requirements include six years of experience with Micro

Skills: data engineering, data analysis, metadata management, data governance, metadata standards, data stewardship, relational databases, microsoft sql server, cloud data tools, microsoft azure, etl processes, data warehousing, data modeling, erwin data modeler

Summary: Candidates should have a Bachelor's degree in Computer Science or related field and a minimum of 3 years of experience with Java/Spring Boot. Experience with databases and deploying systems is also re

Skills: java, spring boot, relational databases, non-relational databases, kubernetes, microservices, cross-platform communication, queuing technologies, streaming technologies, jwts, public-key encryption, aws, docker

Summary: 5+ years of proven data engineering experience using common languages and frameworks is required. A bachelor's degree in a relevant field or equivalent experience is also necessary.

Skills: data engineering, java, python, dbt, spark, flink, postgresql, mysql, oracle, linux, docker, git, aws, gcp, azure, looker, tableau

Summary: 5+ years of experience in a relevant field, preferably with personalized feed ranking. Proven track record of delivering complex machine learning projects and strong communication skills are essential

Skills: machine learning, ranking, data science, collaboration, mentoring, a/b testing, algorithm development, distributed systems, programming, statistical analysis, sequence modeling, reinforcement learning, transformer architecture, bayesian methodology, experimentation

Summary: Candidates should have domain experience in areas such as ad serving and campaign management, along with a general understanding of the advertising marketplace. Experience in developing cloud-based ap

Skills: ad serving, ads identity, audience management, campaign management, media planning, measurement, reporting, cloud based applications, object oriented programming, a/b testing, technical direction, architectural decisions, ad operations, legal compliance, ctv knowledge, ads technology standards

Summary: Bachelor’s degree in a related field preferred with 3+ years of experience as a Data Engineer. Proficient in Python and SQL, with strong experience in AWS services and data transformation tools.

Skills: python, sql, aws, glue, lambda, s3, dbt, data engineering, data pipelines, data architecture, data modeling, data quality, event-driven architecture, ci/cd, git, problem solving

Summary: A bachelor's degree in a quantitative field is required, along with strong proficiency in Python and SQL. Candidates should have experience with data analysis and visualization, as well as excellent p

Skills: data engineering, python, sql, data analysis, data visualization, statistical methods, problem-solving, communication, etl processes, database management, visualization tools, software engineering, git, devops, gis, geospatial data

Summary: Candidates should have over 5 years of experience in data roles, preferably in high-growth startups within the payments industry. Strong skills in SQL, Python, and cloud environments are essential, al

Skills: data engineering, cloud environments, data modeling, sql, python, workflow orchestration, distributed systems, cloud olap, data ingestion, data transformation, machine learning, system design, data quality, payments industry, scrappy problem solving, behavioral insights

Summary: Candidates should have 5+ years of experience in data roles, preferably in high-growth startups within the payments industry. Strong skills in SQL, Python, data modeling, and experience with cloud env

Skills: data engineering, machine learning, data modeling, sql, python, workflow orchestration, distributed systems, cloud olap, data ingestion, data transformation, kafka, aws, gcp, snowflake, redshift, bigquery

Summary: Candidates must have 4+ years as an engineering manager and 8+ years of total experience, with significant hands-on software engineering experience. Experience in payments, fintech, or SaaS is preferr

Skills: engineering management, software development, payments, machine learning, api development, team leadership, agile methodologies, cloud computing, ci/cd, microservices, data science, technical architecture, performance optimization, client sdks, collaboration, mentorship

Summary: Candidates must have 4+ years of experience as an engineering manager and significant hands-on software engineering experience. Familiarity with payments, fintech, and modern engineering practices is

Skills: engineering management, software development, payments, machine learning, api platforms, client sdks, agile development, team leadership, technical architecture, collaboration, data science, performance metrics, cloud computing, ci/cd, microservices, subscription models

Summary: Candidates should have a Bachelor's or Master's degree in Computer Science or a related field, with 6-8 years of experience in Data Engineering. A minimum of 4 years managing data or software teams an

Skills: data engineering, team management, project delivery, technical guidance, data quality, data architecture, cloud technologies, python, restful apis, microservices, agile methodologies, data processing, innovation, mentoring, analytics, data models

Summary: The ideal candidate should have 3+ years of experience building Solidity contracts and deep familiarity with EVM mechanics. Knowledge of DeFi primitives and pricing mechanisms is essential.

Skills: solidity, evm, defi, smart contracts, nft, data licensing, pricing mechanisms, hardhat, foundry, brownie, git, gas optimization, proxy patterns, reentrancy mitigations, enterprise systems, ai

Summary: Candidates must have an active Secret clearance and a degree in a related field, along with 7+ years of professional experience in data engineering. Proficiency in Python and SQL, as well as experienc

Skills: python, sql, etl, data pipelines, ci/cd, github, gitlab, cloud platforms, aws, azure, gcp, databricks, apache spark, kafka, airflow, docker, kubernetes

Summary: Candidates should have 3+ years of experience in engineering management or leadership roles, particularly in data engineering or analytics. Strong communication skills and a solid understanding of cyb

Skills: data engineering, analytics, cybersecurity, python, database technologies, project management, team leadership, communication, collaboration, problem solving, continuous improvement, web harvesting, data processing, client relations, technical concepts

Summary: Join a YC-backed startup to develop sustainable agriculture software using Python, system design, and full-stack technologies. Engage with dairy farms to optimize farming operations.

Skills: python, typescript, cloud

Summary: Bachelor’s degree in Computer Science or related field is required, with a Master’s preferred. Candidates should have 7+ years of experience in cybersecurity, including 3+ years in a leadership role.

Skills: cybersecurity, leadership, application security, iam, cloud security, web application firewalls, secure coding, multi-factor authentication, single sign-on, cloud security posture management, cloud workload protection platforms, vulnerability scanning, identity governance, stakeholder management, communication, forensic investigations

Summary: Candidates should have over 4 years of leadership experience and 5 years of hands-on engineering experience, particularly in full-stack web application development. A background in healthcare or finte

Skills: leadership experience, engineering expertise, customer obsession, collaborative mindset, strategic vision, strong communication skills, commitment to diversity and inclusion, healthcare experience, fintech experience, privacy awareness, security awareness

Summary: Experience leading software engineering teams working on data-intensive or platform-oriented products is essential. A strong understanding of microservices, distributed systems, and cloud infrastructu

Skills: software engineering, data-intensive products, platform-oriented products, microservices, distributed systems, cloud infrastructure, react, javascript, c#, machine learning, data classification, communication skills, mentoring, technical culture, entrepreneurial ownership, empathy

Summary: Candidates should have strong proficiency in Python and SQL, along with experience in AWS data and analytics services. Familiarity with data governance, security best practices, and experience in buil

Skills: python, sql, aws, data engineering, data pipelines, data warehousing, data governance, data security, etl, data visualization, apache airflow, apache spark, hadoop, devops, infrastructure as code, snowflake

Summary: Candidates must have a mastery of an object-oriented programming language, preferably Java, and at least 5-7 years of relevant work experience. A bachelor's degree in computer science, data engineerin

Skills: software engineering, data engineering, leadership, cloud infrastructure, data modeling, etl processes, sql, project management, troubleshooting, problem solving, communication, collaboration, mentoring, agile methodologies, automation, modern software development

Summary: Candidates should have a Bachelor's degree or relevant experience with 7+ years of overall experience. They must have 4+ years of experience developing in Python and a solid understanding of data ware

Skills: python, etl, data warehousing, data lakes, master data management, aws solutions, relational databases, columnar databases, linux, bash scripting, airflow, dbt, aws glue, aws batch, docker, kubernetes

Summary: 8+ years of experience in data pipeline development and cloud infrastructure, with proficiency in AWS and data warehousing. Strong skills in data quality, performance optimization, and security compli

Skills: data pipeline development, cloud infrastructure, data warehousing, data quality, governance, performance optimization, security, compliance, collaboration, communication, python, sql, kafka, flink, aws, etl

Summary: Experience with health and survey data is essential, along with proficiency in Python and cloud environments. Familiarity with NHS health data and best practices in data engineering is also required.

Skills: data engineering, health data, data pipelines, python, cloud environments, distributed computing, data transformation, containerisation, spark, databricks, agile development, version control, data standards, code review, unit tests, collaboration

Summary: Candidates should have experience with health data and be proficient in Python, with a good understanding of cloud environments and data transformation formats. Experience in building scalable data pi

Skills: data engineering, health data, python, cloud environments, data pipelines, data transformation, agile development, version control, containerisation, distributed computing, data standards, stakeholder management, data lakes, spark, databricks, unix

Summary: Candidates should have over 10 years of technology leadership experience, including 5 years overseeing Product and Engineering in a B2B SaaS environment. Experience in AI-driven product innovation and

Skills: product leadership, engineering management, ai integration, machine learning, global expansion, data privacy, localization, compliance, team building, operational excellence, strategic innovation, cross-functional leadership, customer experience, technical execution, agile methodologies, stakeholder management

Summary: A bachelor's degree in a related field and 5+ years of experience in data engineering or analytics are required. Proficiency in various analytics tools and AWS services, along with strong programming

Skills: data engineering, business intelligence, data analytics, aws, python, sas viya, tableau, oracle analytics server, obiee, devsecops, agile, ai/ml, data governance, social media analytics, predictive models, data quality

Summary: Candidates should have over 10 years of product management experience, including at least 4 years leading hardware or connected device products. A strong understanding of both hardware and software de

Skills: product management, customer discovery, roadmap creation, cross-functional collaboration, hardware development, software development, firmware integration, manufacturing considerations, product vision, data analysis, communication skills, strategic thinking, tactical execution, high-growth environments, user experience, customer insights

Summary: Experience building or operating release engineering, build, or deployment systems at scale is essential. Strong technical judgment with the ability to balance safety, velocity, and maintainability is

Skills: software development lifecycle, automation systems, build tooling, deployment workflows, release infrastructure, kubernetes, cloud providers, ci/cd pipeline design, distributed systems, go, temporal, networking, operating systems, release automation, collaboration, communication skills

Summary: You should have at least 7 years of experience in developing complex data-oriented applications and have managed a team of developers. A strong technical culture and the ability to mentor others are e

Skills: team management, technical expertise, collaboration, ruby on rails, nestjs, react, typescript, docker, aws, postgresql, clean code, tdd, agile methodologies, data management, mentoring, continuous improvement

Summary: The role requires strong experience in building integrations with ad servers and knowledge of APIs for ad tech platforms. Candidates should have 10+ years of experience, including 3+ years in manageme

Skills: ad serving, inventory sharing, programmatic integrations, real-time bidding, audience onboarding, targeting, advertising concepts, inventory management, digital advertising, adtech ecosystems, ad operations, campaign setup, measurement, reporting, communication, collaboration

Summary: An engineering leader with 3-5 years of experience leading backend distributed systems teams and strong technical acumen. A passion for improving consumer experiences and a track record of hiring dive

Skills: engineering leadership, backend distributed systems, high-traffic systems, product platforms, consumer experience, team building, diversity hiring, communication, feedback, mentoring, technical acumen, roadmap development, stakeholder management, inclusive culture, architecture design, execution

Summary: Candidates should have 15+ years of software engineering experience, including 5+ years managing teams. Hands-on technical expertise in programming languages and experience with the Shopify ecosystem

Skills: software engineering, team leadership, saas, agile, cloud-native, ruby, java, python, go, node.js, api, shopify, aws, gcp, product management, communication, mentoring

Summary: Candidates should have 7+ years of software engineering experience, including 4 years in engineering management. Strong proficiency in Java, Kotlin, or TypeScript and experience with cloud-native appl

Skills: software engineering, engineering management, full-stack development, cloud-native applications, java, kotlin, typescript, aws, microservices, ci/cd, team leadership, communication, coaching, conflict resolution, diversity and inclusion, technical strategy

Summary: Candidates must have a minimum of a SECRET security clearance and knowledge of DOD SAP/ERP systems. Experience in creating data transformation pipelines and familiarity with AWS products is also requi

Skills: data architecture, data cleaning, data transformation, sap, erp, client relationship management, data operations, agile process, data processing technologies, cybersecurity, aws, data engineering testing, software security, system life cycle management, dod processes, logistics

Summary: Candidates should have programming skills in .Net, C#, Angular, and Javascript, along with experience using databases. Strong analytical and problem-solving skills, as well as the ability to work inde

Skills: programming, .net, c#, angular, javascript, databases, problem-solving, analytical skills, technical documentation, agile, test scripts, collaboration, communication

Summary: Candidates should have expert-level knowledge of the Microsoft .NET technology stack and experience with large-scale enterprise web applications. A degree in a related technical field is required, alo

Skills: responsive web application development, distributed systems, technical leadership, process management, microsoft .net technology stack, c#, asp.net mvc, web apis, sql databases, performance monitoring tools, log collection tools, git, unit testing, continuous integration, cloud technology, communication skills

Summary: 5+ years of software engineering experience building and shipping production applications is required. Strong proficiency in modern programming languages and experience with AI technologies are essent

Skills: software engineering, python, typescript, node.js, react, next.js, api design, database systems, ai technologies, cloud infrastructure, devops practices, communication skills, product sense, user empathy, internal tools, retool, zendesk

Summary: B.S. degree in Computer Science or a related technical field and 5+ years of experience as a Software Engineer or Data Engineer building production systems at scale. Proficiency in programming languag

Skills: software engineering, data engineering, distributed systems, big data technologies, sql, python, java, scala, ci/cd, containerization, cloud infrastructure, data services, apis, data processing, data storage, testing

Summary: Candidates should have a degree in Computer Science or a related field and over 5 years of experience in data engineering. Proficiency in SQL, Python, and familiarity with Big Data technologies is ess

Skills: data engineering, software engineering, sql, python, data warehousing, spark, big data technologies, data modeling, etl, elt, data governance, security, compliance, ci/cd, automation, analytics

Summary: Candidates should have 10+ years of experience in data engineering and 5+ years of advanced experience with Airflow and Python. Additionally, experience with Google Cloud Platform and designing produc

Skills: data engineering, python, apis, mlops, google cloud platform, bigquery, sql, data governance, data architecture, event-driven architecture, ci/cd, terraform, apache airflow, streaming pipelines, monitoring, containerization

Summary: Candidates should have 4+ years of experience in data engineering and 2+ years of expertise in designing end-to-end data pipelines in cloud frameworks. Proficiency in Python, SQL, and experience with

Skills: data engineering, cloud frameworks, python, machine learning, sql, ci/cd, data pipelines, data governance, containerization, data orchestration, infrastructure as code, generative ai, monitoring, data quality, event-driven data sharing, collaboration

Summary: Candidates should have over 5 years of data engineering experience, with a strong focus on AI/ML data pipelines. Proficiency in Python, SQL, and distributed data processing frameworks is essential, al

Skills: data engineering, ai, ml, python, sql, apache spark, gcp, kafka, data modeling, nosql, performance optimization, data observability, etl, data pipelines, documentation, collaboration

Summary: Candidates should have 2-4+ years of experience in cryptography, fingerprinting, and proxy management, as well as reverse-engineering applications and building web scrapers. A strong understanding of

Skills: cryptography, fingerprinting, proxy management, reverse engineering, web scraping, node.js, aws, javascript, typescript, security best practices, anti-bot detection, browser automation, react native, mongodb, financial apis, banking protocols

Summary: Candidates should have a B.S. or M.S. in a relevant field or equivalent experience, with proficiency in Python and SQL. Strong analytical skills and an interest in the renewable energy industry are es

Skills: python, sql, statistical analysis, data visualization, data modeling, project management, analytical skills, renewable energy, communication, automation, data processing, problem solving, attention to detail, teamwork, initiative, integrity

Summary: The role requires expertise in Snowflake for data warehousing and strong proficiency in SQL. Familiarity with Azure Data Factory and software engineering lifecycle tools is also essential.

Skills: snowflake, azure data factory, sql, github, jenkins, jira, sonarqube, ci/cd, devops, software development lifecycle, python, c#, anomaly detection, statistical analysis, cloud platforms, infrastructure monitoring

Summary: A bachelor's degree in a related field and 5+ years of software engineering experience are required. Experience in engineering leadership and developing large-scale reporting solutions is highly desir

Skills: software engineering, engineering leadership, full stack development, product management, data pipelines, collaboration, monitoring, technical scalability, python, golang, react, airflow, druid, postgres, redis, bigquery

Summary: 4+ years of engineering management experience and 5+ years as an individual contributor prior to that. Strong understanding of data architecture and API-driven systems; experience with Python- and Typ

Skills: strategic leadership, technical acumen, cross-functional collaboration, delivery & execution, people development, adaptability & resilience, data architecture, api-driven systems, python, typescript, generative ai, project prioritization, stakeholder communication, mentorship, coaching, feedback

Summary: Candidates should have at least 5-7 years of experience in a related role, with specific expertise in Snowflake and data integration tools. A strong understanding of data management principles and exp

Skills: data architecture, data pipelines, data warehousing, snowflake, etl processes, sql, python, data governance, data integration, cloud providers, version control, ci/cd frameworks, collaboration, technical documentation, data management, attention to detail

Summary: Candidates should have over 10 years of experience in DevOps or cloud engineering roles, with proficiency in Azure and AWS. Strong skills in Infrastructure as Code and containerization are essential.

Skills: devops, cloud engineering, ci/cd, infrastructure as code, containerization, automation, monitoring, security, scripting, azure, aws, docker, kubernetes, ai/ml, collaboration, documentation

Summary: The ideal candidate should have a strong software engineering background and senior-level experience in building web applications with JavaScript and React. They should also demonstrate a passion for

Skills: software engineering, leadership, product management, javascript, react, coaching, mentoring, team building, collaboration, technical strategy, performance testing, microservices, kubernetes, observability, communication, adaptability

Summary: The ideal candidate should have a strong software engineering background and senior-level experience in building web applications with JavaScript and React. They should also demonstrate a passion for

Skills: software engineering, leadership, product management, javascript, react, coaching, mentoring, team building, collaboration, technical strategy, performance testing, microservices, kubernetes, observability, communication, adaptability

Summary: The ideal candidate should have a strong software engineering background and senior-level experience in building web applications with JavaScript and React. They should also demonstrate a passion for

Skills: software engineering, leadership, product management, javascript, react, coaching, mentoring, team building, collaboration, technical strategy, performance testing, microservices, kubernetes, communication, adaptability, user experience

Summary: The ideal candidate should have a strong software engineering background and senior-level experience in building web applications. They should also demonstrate a passion for developing people and have

Skills: software engineering, leadership, product management, javascript, react, coaching, mentoring, team building, collaboration, technical strategy, performance testing, microservices, kubernetes, communication, adaptability, user experience

Summary: Candidates should have proven experience in defining and managing operational processes, preferably in Sales Engineering or related technical environments. Strong project management and analytical ski

Skills: operational processes, sales engineering, project management, analytical skills, stakeholder management, continuous improvement, knowledge management, cross-functional alignment, capacity planning, risk management

Summary: Candidates should have 4+ years of people management experience and 8+ years in a production software development environment. Experience with large-scale ML systems and building self-service platform

Skills: people management, production software development, scalability, reliability, performance, ease of use, machine learning development lifecycle, large-scale ml systems, self-service platform, data storage, embeddings, organizational skills, communication skills

Summary: Candidates should have a working knowledge of Python or Go and experience in GRC Engineering or related fields with a focus on automation. Expertise in compliance frameworks and experience leading mul

Skills: python, go, grc engineering, security engineering, software engineering, automation, system integration, compliance frameworks, nist rmf, nist sp 800-53, federal cybersecurity policies, multi-disciplinary teams, cloud technologies, devsecops, api integration, compliance automation

Summary: Candidates should have 3+ years of professional software development experience and proficiency in at least two of Go, Java, or Python. Experience with API design, containerization technologies, and k

Skills: software development, golang, java, python, api design, containerization, ci/cd, asynchronous programming, performance optimization, monitoring tools, devops tools, linux, cloud computing, microservices, data processing, distributed systems

Summary: Candidates should have strong proficiency in Go, Java, and Python, with experience in building production applications and API design. Familiarity with containerization technologies and experience men

Skills: software development, golang, java, python, api design, containerization, ci/cd, asynchronous programming, event-driven architectures, performance optimization, monitoring tools, devops tools, linux environments, cloud computing, cassandra, kafka, elasticsearch

Summary: Candidates should have 10+ years of leadership experience across multiple software engineering teams and expert-level knowledge of the Microsoft .NET technology stack and SQL databases. A Bachelor’s D

Skills: leadership, software engineering, microsoft .net, c#, asp.net mvc, web apis, sql databases, html5, javascript, typescript, react, git, unit testing, debugging, performance monitoring, saas application development

Summary: Candidates should have over 10 years of data engineering experience and at least 5 years of team management. A college degree in a relevant field is required, along with strong skills in data manipula

Skills: data engineering, team management, data structures, cloud technologies, mlops framework, collaboration, problem solving, data warehousing, communication skills, data manipulation, critical thinking, flexibility, technical leadership, resource optimization, analytical tools, innovative mindset

Summary: Candidates should have a bachelor's degree in a related field and over 10 years of relevant experience in software engineering. Expertise in front-end and back-end technologies, as well as experience

Skills: software engineering, web applications, restful apis, devops, cloud computing, agile, version control, sql databases, react, java, spring boot, docker, problem-solving, analytical skills, communication skills, mentoring

Summary: A Bachelor's degree in a quantitative or business field is required, along with 2-4 years of related experience. Technical skills in programming languages such as C#, Java, Python, and SQL are desired

Skills: data engineering, data pipelines, data transformation, data validation, data quality, data processing, big data, cloud infrastructure, c#, java, python, sql, data manipulation, data mining, quality assurance, automation

Summary: Candidates should have 7+ years of full-time experience in AI/ML or full stack software engineering, particularly with data-intensive systems. A strong background in software engineering, AI/ML/NLP en

Skills: ai/ml development, data pipelining, system intelligence, security & compliance, operations, python, sql, postgresql, dbt, bigquery, nlp, llm, pytorch, cloud platforms, linux, bash scripting, web services

Summary: Candidates should have strong proficiency in Python and SQL, along with experience in AWS data and analytics services. Familiarity with data governance, security best practices, and experience in buil

Skills: python, sql, aws, data engineering, data pipelines, data warehousing, data governance, data security, etl, cloud computing, data visualization, apache airflow, apache spark, hadoop, devops, infrastructure as code, nosql

Summary: 10+ years of software development and data engineering experience with demonstrated ownership of production-grade data infrastructure. Deep expertise in scaling Spark in production and proficiency in

Skills: data engineering, pyspark, cloud platforms, data processing, analytics, ai/ml, software development, distributed computing, data modeling, python, relational databases, nosql databases, mentoring, problem solving, e-commerce integration, monitoring

Summary: Candidates should have a strong background in solution architecture for AI/ML systems and experience with system integration and enterprise-scale deployments. Familiarity with VA frameworks and federa

Skills: solution architecture, ai, ml, system integration, data pipelines, enterprise deployments, federal it security standards, technical advisement, communication skills, low-code/no-code methods, collaboration, configuration, performance evaluation, cost evaluation, compliance evaluation

Summary: Candidates should have a BSc/MA in a quantitative field and at least 3 years of experience in data engineering. Proficiency in Python, SQL, and experience with data orchestration tools is essential.

Skills: data engineering, python, sql, data pipelines, data ingestion, data transformation, data orchestration, data quality, docker, kubernetes, bi tools, data governance, data privacy, airflow, snowflake, looker

Summary: Candidates should have 3-6 years of experience in Talent Sourcing or full-cycle Talent Acquisition within Technology Consulting. A deep understanding of technology roles and exceptional organizational

Skills: talent sourcing, talent coordination, technical talent, interview coordination, stakeholder communication, ats proficiency, market mapping, data engineering, software engineering, cloud technologies, devops, ai solutions, candidate experience, sourcing strategies, metrics driven, organizational skills, autonomy

Summary: A Bachelor's degree in a quantitative or business field is required, along with 4-6 years of related experience. Equivalent experience may also be considered.

Skills: informatica, sql, snowflake

Summary: Lead development for the mobile app, using iOS (Swift), Android (Kotlin), and backend technologies. Oversee releases, manage code quality, and collaborate on design decisions.

Skills: swift, kotlin, node.js

Summary: You should have a history of leading and mentoring engineers, along with experience in software design and production. A strong understanding of diversity and an ability to navigate technical stacks a

Skills: engineering management, coaching, mentoring, software development, cloud computing, infrastructure-as-code, conflict resolution, process improvement, stakeholder management, team collaboration, performance review, career development, inclusive workplace, technical guidance, operational excellence, continuous improvement

Summary: Bachelor or Master's degree in Computer Science or related field is required. Candidates should have 5+ years of professional software development experience and a demonstrated ability to build modern

Skills: engineering management, full-stack development, agile methodology, web apis, sql server, c#, .net core, vue, react, typescript, javascript, problem-solving, communication, teamwork, technical excellence, continuous improvement

Summary: Candidates should have over 5 years of experience as a sales engineering manager and as a sales engineer, with excellent communication skills. A strong understanding of the Identity Security market is

Skills: solution engineering, team leadership, analytical skills, problem-solving skills, management consulting skills, sales methodology improvement, product presentations, account planning, sales strategy, customer relationships, identity governance, communication skills, technical understanding, business acumen, training program development, performance management

Summary: Candidates must have a Bachelor of Science in Civil or Structural Engineering and a Professional Civil Engineer License in California. Additionally, 4-8 years of structural work experience and profici

Skills: structural analysis, design, autocad, risa-3d, microsoft office, bluebeam revu, team management, engineering drawings, site visits, structural consistency, field sketches, training, development, project management, communication, problem solving

Summary: 7+ years in enterprise B2B SaaS with at least 4 years in presales or Solutions Engineering leadership roles. Proven success in closing large enterprise deals and deep domain expertise in financial ser

Skills: solutions engineering, financial services, compliance automation, regulatory technology, enterprise sales, technical strategy, customer engagement, team building, ai, financial crime prevention, c-suite engagement, value-based solution design, high-growth environments, deal velocity, presales engagement, thought leadership

Summary: Candidates should have a bachelor's degree and a minimum of 2 years of related experience, or an advanced degree without experience. A strong background in Oracle Analytics Cloud, ODI Marketplace, and

Skills: oracle analytics cloud, odi marketplace, python, data warehouse, etl, data integration, data analysis, data modeling, business analytics, reporting solutions, troubleshooting, documentation, industry trends, cloud technologies, microsoft power bi, tableau

Summary: Candidates should have 7+ years of experience with cloud-based applications and 5+ years with AWS technologies. Strong proficiency in back-end and/or full-stack development is required, along with exc

Skills: software engineering, cloud-based applications, api development, aws technologies, back-end development, full-stack development, python, java, c#, react, flutter, agile methodologies, code quality, mentoring, collaboration, troubleshooting

Summary: Candidates must have a Bachelor's Degree in a relevant field and at least 3 years of experience in developing dashboards using Microsoft Power BI. Knowledge of SQL and relational databases is also req

Skills: data visualization, microsoft power bi, sql, relational databases, data cleansing, data modeling, statistical analysis, machine learning, critical thinking, communication skills, client service, team collaboration, dashboard development, ad hoc analysis, data architecture, training development

Summary: Candidates must have a university degree or equivalent experience with at least 5 years of relevant experience. Proficiency in Python and experience with SQL and machine learning applications are esse

Skills: python, sql, data visualization, machine learning, deep learning, statistical analysis, data cleansing, agile methodology, gpu programming, cloud services, neural networks, software development, mlops, data science, analytics, data products

Summary: Typically requires a University Degree or equivalent experience and a minimum of 8 years prior relevant experience, or an Advanced Degree in a related field with a minimum of 5 years experience. Exper

Skills: python development, relational databases, sql development, quantitative techniques, data visualization, deep learning frameworks, machine learning models, gpu programming, network optimization, mlops, statistical analysis, agile methodology, data cleansing, software development processes, cloud services, complex neural networks

Summary: Candidates should have 5+ years of experience in data engineering, with strong skills in SQL and Python. Familiarity with cloud platforms and data modeling approaches is essential, along with experien

Skills: data engineering, cloud data platforms, sql, python, etl, elt, data modelling, ci/cd, version control, data quality, machine learning, nlp, data governance, data architecture, mentoring, stakeholder management

Summary: Candidates should have significant experience in software engineering and core security concepts, particularly in cloud systems. Familiarity with detection engineering practices and public cloud envir

Skills: software engineering, security concepts, detection engineering, cloud systems, kubernetes, observability, telemetry, response automation, technical documentation, communication, curiosity, self-starter, security operations, detection rules, distributed systems, open source

Summary: The role requires significant experience in software engineering and core security concepts, particularly in cloud systems. Familiarity with detection engineering practices and public cloud environmen

Skills: software engineering, security concepts, detection engineering, cloud systems, kubernetes, observability, telemetry, response automation, communication, curiosity, self-starter, technical documentation, security operations, distributed systems, open source, security tools

Summary: The role requires significant experience in software engineering and core security concepts, particularly in cloud systems. Familiarity with detection engineering practices and public cloud security i

Skills: software engineering, security concepts, detection engineering, public clouds, kubernetes, ebpf, cloud iam, service meshes, container hardening, communication, telemetry, response automation, detection rules, observability, runbooks, security alerts, incident response

Summary: Candidates should have significant experience in software engineering and core security concepts, particularly in cloud systems. Familiarity with detection engineering practices and public cloud secur

Skills: software engineering, security concepts, detection engineering, public clouds, kubernetes, container ecosystems, telemetry, automation, communication, research, development, incident response, security metrics, open source, curiosity, problem solving

Summary: Experience in designing and improving CI/CD systems for large-scale applications is essential. Proficiency in tools like Helm, ArgoCD, and Terraform, along with a collaborative mindset, is required.

Skills: ci/cd systems, helm, argocd, terraform, github actions, kubernetes, infrastructure-as-code, python, automation, platform tooling, collaboration, multi-cloud architectures, developer productivity, release safety

Summary: Experience in designing and improving CI/CD systems for large-scale applications is essential. Proficiency in tools like Helm, ArgoCD, and Terraform, along with a collaborative mindset, is highly valu

Skills: ci/cd systems, helm, argocd, terraform, github actions, kubernetes, infrastructure-as-code, python, automation, platform tooling, collaboration, multi-cloud architectures, developer productivity, release safety

Summary: Bachelor's degree in a related field and 5+ years of experience in data engineering or analytics are required. Proficiency in various data tools and programming languages is essential.

Skills: data analytics, business intelligence, cloud computing, aws, tableau, sas viya, oracle, python, scala, groovy, pl/sql, agile, devsecops, data governance, ai/ml, predictive models

Summary: Candidates should have a bachelor's degree in a related field or equivalent practical experience, along with experience in SQL and Python development. Familiarity with Azure Gov Cloud and data visuali

Skills: sql, python, javascript, data visualization, relational databases, programming principles, data ingestion, api integrations, cloud computing, azure gov cloud, analytical skills, problem-solving, teamwork, communication, data governance, data security

Summary: Candidates should have 4+ years of experience in building modern web applications and a self-starter mindset. Proven ability to write clean, scalable code and experience in data visualization or analy

Skills: react, javascript, typescript, ui design, accessibility, prototyping, unit testing, end-to-end testing, collaboration, mentoring, data visualization, analytics, communication, problem solving, customer focus, product impact

Summary: Candidates should have over 3 years of experience as an Engineering Manager and 5 years in software engineering. A strong technical background in frontend technologies and experience with scalable mic

Skills: engineering management, frontend development, backend development, infrastructure, react, webpack, typescript, microservices, systems design, technical leadership, coaching, mentoring, project planning, collaboration, innovation, technical roadmap

Summary: Candidates should have 6+ years of experience leading a high-performing team and a Bachelor's degree in a related field. They must demonstrate the ability to leverage AI tools and have experience in s

Skills: sales engineering, team leadership, ai tools, customer cooperation, enterprise hardware, software sales, cloud platforms, iaas, paas, virtual infrastructure, presentation skills, communication skills, relationship building, self-motivated, project management, technical support

Summary: Proven experience managing highly available systems and deep knowledge of system performance optimization is required. Familiarity with cloud platforms and strong communication skills are also essenti

Skills: service reliability engineering, application support, cloud-based infrastructure, system performance optimization, troubleshooting methodologies, programming, scripting, monitoring tools, incident management, metrics analysis, ci/cd pipelines, distributed systems, security protocols, communication skills, analytical mindset, systemic thinking

Summary: Candidates should have 2-5 years of experience in a Sales Engineering Manager role and a strong understanding of the IT sales channel landscape. Excellent communication skills and experience with IT s

Skills: sales engineering, technical leadership, solution sales, consultative approach, pipeline management, sales acceleration, customer experience, technical guidance, performance management, communication skills, process improvement, it security, salesforce, microsoft office, team development, relationship building

Summary: A Bachelor’s degree in a related field is required along with 5+ years in platform engineering or DevOps roles and 2+ years in a leadership role. Experience managing cloud spend and knowledge of AWS s

Skills: platform engineering, devops, cloud financial operations, ci/cd pipelines, developer tooling, container orchestration, observability, aws, azure devops, sonarqube, snyk, infrastructure as code, gitops, cost optimization, team leadership, mentoring

Summary: Candidates should have an MS or higher in a relevant field and at least 12 years of industry experience, including 8 years in a management role. Strong programming skills in C and C++, along with expe

Skills: c, c++, multithreaded applications, distributed applications, linux, android, real-time operating systems, ros, gstreamer, embedded architectures, adas, autosar, opengl, git, cmake, bazel

Summary: Candidates should have over 10 years of experience in software engineering, with 3-5 years in a leadership role. A strong technical foundation in full-stack web development and cloud architecture is e

Skills: technical leadership, strategic thinking, people development, cross-functional collaboration, operational excellence, data-driven decision making

Summary: The ideal candidate should have at least 5 years of hands-on software engineering experience and 3 years of experience managing a cross-functional engineering team. A passion for digital privacy and s

Skills: software architecture, agile development, team management, software development, data security, scalability, interoperability, distributed systems, devops practices, cloud platforms, apis, cryptography, identity management, mentoring, problem solving, leadership

Summary: Candidates should have 15+ years of software engineering experience, including 5 years in team management. Deep expertise in cloud infrastructure and strong leadership skills are essential.

Skills: software engineering, team management, cloud native platforms, kubernetes, terraform, helm charts, prometheus, grafana, iam, idp, waf, gateway api, cloud platforms, leadership, communication, security

Summary: Candidates should have 15+ years of software engineering experience, including 5 years in team management. Expertise in cloud-native platforms and strong leadership skills are essential.

Skills: software engineering, team management, cloud native platforms, kubernetes, terraform, helm charts, prometheus, grafana, iam, idp, waf, gateway api, cloud platforms, leadership, communication, security

Summary: Candidates must have over 10 years of software development experience and at least 5 years in engineering management. A strong product sense and experience in building and scaling engineering organiza

Skills: software development, engineering management, technical vision, product management, communication skills, fraud detection, data intelligence, b2b products, apis, sdks, team leadership, scalable systems, continuous improvement, operational best practices, hiring, mentoring

Summary: Candidates should have a proven track record in building high-quality consumer-facing mobile applications and experience in engineering management. Strong leadership skills and familiarity with mobile

Skills: mobile applications, frameworks, technical design, product thinking, metrics, personalization, leadership, cloud technologies, communication, influence, geo-aware applications, ai, user experience, server-driven ui systems, cohesive strategy, engineering management

Summary: Candidates should have 2-5 years of experience in a Sales Engineering Manager position and a strong understanding of the IT sales channel landscape. Experience with IT security vendors and excellent c

Skills: sales engineering, technical leadership, solution sales, consultative approach, pipeline management, sales acceleration, customer experience, technical guidance, performance management, it sales channel, it security, microsoft office, salesforce, process improvement, communication skills, team development

Summary: A Bachelor's Degree in a quantitative discipline is required, along with a minimum of 5 years of professional experience or 7+ years in Python application development. Familiarity with API frameworks,

Skills: data engineering, ai, python, apis, containerization, ci/cd, pyspark, cloud platforms, machine learning, generative ai, large language models, deep learning, nlp, big data, data streaming, problem solving

Summary: Candidates should have a Bachelor’s or Master’s degree in Computer Science or a related field, along with 7+ years of experience in software product development. Fluency in at least one programming la

Skills: software development, distributed systems, data onboarding, go, scala, streaming systems, apache kafka, docker, kubernetes, high availability, reliability, performance optimization, collaboration, communication, saas, cybersecurity

Summary: Candidates should have a bachelor's degree in a STEM field and at least 12 years of experience in data engineering or analytics engineering. Significant experience with SQL, Snowflake, and data visual

Skills: data engineering, analytics engineering, sql, dbt, snowflake, python, data quality, data visualization, business intelligence, automation, collaboration, data modeling, cloud data warehousing, reporting, stakeholder communication, performance optimization

Summary: Candidates must have a bachelor's degree in a related field and a minimum of 10 years of experience in building and optimizing data processing pipelines. Proficiency in Apache Spark, Kafka, and cloud

Skills: apache spark, data pipelines, machine learning, apache kafka, aws, azure, etl tools, data visualization, rest apis, data processing, stream processing, data analysis, collaboration, data workflows, big data processing, data transformation

Summary: Candidates must have an active US Secret Security Clearance or higher and a Bachelor's Degree in Computer Science or a related discipline. A minimum of 5 years of related work experience is required.

Skills: data engineering, etl, data pipelines, cloud-based solutions, data modeling, data quality, data security, data governance, automation, orchestration tools, integration tools, performance monitoring, troubleshooting, cross-functional collaboration, analytics, large-scale data processing

Summary: Bachelor’s or Master’s degree in computer science, engineering, business analytics, data science, or related fields is required along with 12+ years of overall experience in implementing and managing

Skills: data infrastructure, data engineering, cloud computing, data pipelines, etl processes, data quality, database design, data warehousing, programming, distributed systems, monitoring tools, team leadership, collaboration, vendor management, agile methodologies, devops practices

Summary: A Bachelor's degree in a quantitative or business field is required along with 4-6 years of related experience. Equivalent experience may also be considered.

Skills: data modeling, data transfers, schema standards, python, aws, sql, nosql, dbt

Summary: Candidates should have a bachelor's degree in a related field and over 10 years of experience in software engineering, including 2 years in a management role. Proven ability to mentor teams and commun

Skills: software engineering, leadership, mentoring, agile development, continuous integration, continuous deployment, team development, conflict resolution, communication, problem solving, technical growth, business processes, onboarding, training, innovation, security practices

Summary: Candidates should have 8+ years of experience in data engineering or related fields, with at least 2-3 years in a leadership role. A Bachelor's or Master's degree in computer science or equivalent exp

Skills: data engineering, leadership, data pipelines, data lake architectures, database optimization, cloud technologies, python, postgres, aws, gcp, agile development, incident response, data quality, streaming technologies, infrastructure-as-code, software engineering

Summary: Candidates should have 3+ years of experience in team leadership and proven experience in cloud-based SaaS environments. A strong ability to support team execution and a passion for improving public t

Skills: team leadership, people management, cloud software, saas, technical mentorship, feedback, growth mindset, backend development, frontend development, data management, aws, postgres, java, javascript, vue.js, technical discovery

Summary: You should be pursuing a BS degree in Computer Science or a related field and will graduate by summer 2026. Strong knowledge of programming fundamentals and experience with object-oriented programming

Skills: software engineering, full-stack development, front-end development, programming fundamentals, object-oriented programming, python, javascript, golang, ruby on rails, web development, problem-solving, fast learner, team collaboration, user experience, monetization strategies, messaging features

Summary: Candidates should have prior experience managing software development teams and a background in software development, particularly with C++ or C. Strong communication skills and a sense of ownership a

Skills: c++, c, software development, systems software, design skills, problem-solving skills, cross-group collaboration, interpersonal communication, mentoring, coaching, remote team management, agility, technical strategy, customer support, team leadership, conflict resolution

Summary: Candidates must have a bachelor's degree and industry certification such as CISSP, CISA, or CISM. A minimum of 12 years of experience in cybersecurity programs and 5 years in leadership roles is requi

Skills: cyber security architecture, cyber security engineering, cloud security, zero trust, devsecops, aws, risk management, compliance, data protection, application security, operating system security, virtual infrastructure, storage protection, analytical skills, communication skills, leadership

Summary: The candidate should have over 5 years of experience managing high-performing teams and as a backend software developer. Strong communication skills and the ability to work autonomously across time zo

Skills: team management, backend software development, communication skills, autonomy, operational excellence, technical decision making, developer tooling, process improvement, hiring, engineering excellence

Summary: Candidates should have 15+ years of experience in Manufacturing Engineering and Automation, with at least 5 years in a leadership role. A strong background in factory automation and process engineerin

Skills: manufacturing engineering, automation, cross-functional leadership, strategic planning, process engineering, data-driven manufacturing, team building, technology roadmapping, vendor management, continuous improvement, optical systems, mechanical systems, precision assembly, cnc machining, 3d printing, injection molding

Summary: Candidates should have 1+ years of experience managing an engineering team and 2+ years as a staff-level engineer. Proficiency in modern web technologies and experience with cloud-based applications a

Skills: engineering management, team leadership, technical strategy, code contribution, mentoring, ai integration, cloud-based applications, typescript, react, next.js, node.js, aws, gcp, azure, cross-functional collaboration, quality assurance, performance optimization