Data Engineering Jobs with Equity ≥ 1%

Summary: Candidates must have a Bachelor’s Degree in Metallurgical Engineering and at least 15 years of experience in uranium conversion technology. Excellent communication skills and the ability to collaborate in a dynamic environment are essential.

Skills: metallurgical engineering, uranium conversion, process design, regulatory approvals, process safety, materials research, technical communication, interdisciplinary collaboration, nuclear materials, fuel fabrication, manufacturing optimization, astm standards, facility refurbishment, project management, chemistry research, technical findings presentation

Summary: Bachelor's degree in Computer Science or equivalent experience is preferred. 7+ years of progressive software development experience with 1-2 years leading high-performing teams in remote/hybrid environments is required.

Skills: software engineering, team leadership, mentoring, coaching, continuous improvement, collaboration, communication, java, groovy, grails, postgres, redis, ms sql, aws, kubernetes, jira, gitlab

Summary: Minimum 3-5 years in a leadership role and at least 8 years in software development are required. Candidates should have experience leading teams of 10 or more engineers and possess strong communication and problem-solving skills.

Skills: leadership, software development, project management, problem solving, communication, collaboration, time management, technical roadmap, api design, user experience, clean code architecture, kubernetes, go, nodejs, graphql, gcp

Summary: Lead engineering org, set tech vision and architecture; hands-on in code; top stack: react, node.js, sql; guide frontend, backend, data teams across DTC, Amazon, Practitioner.

Skills: react, node.js, sql

Summary: Candidates should have a bachelor's degree in a related field and 3-7+ years of hands-on experience in data engineering or applied machine learning. Deep experience with SQL and Python, as well as familiarity with Microsoft Fabric or Azure tools, is essential.

Skills: data engineering, sql, python, microsoft fabric, azure, ai/ml, data integration, data modeling, spark, business intelligence, agile, jira, data pipelines, machine learning, data transformation, collaboration

Summary: A solid understanding of data processing needs for real-time and batch systems is required, along with experience in SQL, Java, Scala, Spark, and Python. Candidates should have 8+ years of experience and familiarity with data engineering solutions and cloud infrastructure.

Skills: python, sql, java, scala, spark, data engineering, data pipelines, apis, file processing, cloud infrastructure, bigquery, airflow, kafka, machine learning, data science, monitoring

Summary: Candidates should have 6+ years of software engineering experience, ideally in full-stack or product-engineering roles. Proficiency in modern programming languages and familiarity with cloud platforms is essential.

Skills: software engineering, full-stack development, product engineering, ai tools, react, typescript, cloud platforms, ci/cd, automated testing, collaboration, communication, product sense, prototyping, agile methodologies, user experience, data-driven solutions

Summary: Candidates should have 10-15+ years in software engineering with significant leadership experience in AI/ML systems. A proven history of shipping LLM-powered features and expertise in backend systems and cloud infrastructure is essential.

Skills: ai systems strategy, machine learning, technical leadership, product development, ai engineering, cloud infrastructure, distributed systems, llm orchestration, observability, experimentation, team building, personalization, natural language processing, data science, automation, user experience

Summary: 5+ years of experience in data engineering, software engineering, or infrastructure-focused engineering is required. Strong proficiency in Python and experience with API-based ETL and cloud-native orchestration are essential.

Skills: python, data integration, api-based etl, cloud-native architecture, sql, bigquery, orchestration frameworks, containerization, cloud infrastructure, infrastructure as code, authentication flows, event-driven architectures, real-time data processing, data governance, compliance, security best practices

Summary: Candidates should have over 10 years of experience leading distributed systems teams and a strong technical background in performance-sensitive systems. Leadership skills and the ability to drive clarity in high-pressure scenarios are essential.

Skills: engineering management, distributed systems, technical leadership, high-availability systems, performance optimization, coaching, team alignment, problem solving, cloud infrastructure, system architecture, ownership, execution, blockchain, web3 infrastructure

Summary: Candidates should have extensive software engineering experience with a strong background in AI product delivery. A deep understanding of AI/ML technologies and excellent leadership and communication skills are essential.

Skills: ai engineering, leadership, software engineering, ai product delivery, project management, cloud platforms, mlops, communication, collaboration, innovation, continuous learning, technical guidance, agile methodology, stakeholder engagement, software development, machine learning, data science

Summary: You might be a good fit if you can write in Python and you're highly intelligent. No prior machine learning or AI experience is required.

Skills: python, artificial intelligence, machine learning, reinforcement learning

Summary: Candidates should have a bachelor's degree in Computer Science and at least 7 years of progressive software development experience. A strong background in building scalable web applications and leading high-performing teams in remote/hybrid environments is essential.

Skills: java, groovy, grails, postgres, redis, ms sql, aws, kubernetes, jira, dynatrace, gitlab, react, angular, vue.js, ember.js, restful api design

Summary: Candidates should have experience with PostgreSQL and cloud architecture, along with strong analytical and communication skills. A minimum of 5 years of backend development experience is required.

Skills: postgresql, cloud architecture, integration tests, analytical skills, teamwork, communication, backend development, typescript, nodejs, cloud infrastructure, serverless applications, security principles, adaptability

Summary: A strong background in both data and software engineering with at least 2 years of relevant experience is required. Proficiency in programming languages and excellent debugging skills are essential.

Skills: data engineering, software engineering, python, sql, debugging, technical communication, retl tools, bigquery sql, airflow, dbt, django orm, product analytics, medallion architecture, technical writing, mentoring

Summary: Design and maintain data pipelines and infrastructure for BI and AI decisions; own data models for RCM, intake, and clinical ops; requires SQL, Databricks/Redshift, and Airflow/dbt.

Skills: sql, postgresql, mysql

Summary: Strong proficiency in Python and experience with additional backend languages such as Java, Go, or Rust is required. Proven experience building and maintaining data-centric backend services at scale is essential.

Skills: java, python, data engineering, data quality, data observability, sql, ci/cd, performance optimization, observability, backend development, streaming data, large-scale data processing, open source, mentorship, testing, benchmarking

Summary: Strong proficiency in Python and experience with additional backend languages such as Java. Proven experience building and maintaining data-centric backend services at scale.

Skills: java, python, data engineering, data quality, data observability, sql, ci/cd, performance optimization, observability, backend development, streaming data, large-scale data processing, open source, mentorship, testing, benchmarking

Summary: Strong proficiency in Python and experience with additional backend languages like Java, Go, or Rust is required. A solid understanding of data engineering fundamentals and software engineering best practices is essential.

Skills: java, python, data engineering, data quality, data observability, sql, ci/cd, performance optimization, observability, backend development, streaming data, large-scale data analytics, open source, mentorship, testing, benchmarking

Summary: Strong proficiency in Python and experience with additional backend languages like Java, Go, or Rust is required. Proven experience in building and maintaining data-centric backend services at scale is essential.

Skills: java, python, data engineering, data quality, data observability, sql, ci/cd, performance optimization, observability, backend development, streaming data, large-scale data analytics, open source, mentorship, testing, benchmarking

Summary: Candidates must have at least 6 years of professional software engineering experience and 1 year of cloud computing experience. A bachelor's degree is required, with a preference for candidates holding a master's degree and extensive experience in relevant technologies.

Skills: software engineering, cloud computing, java, python, sql, node, go, scala, distributed systems, machine learning, data pipelines, agile practices, people management, big data technologies, aws, container orchestration

Summary: Candidates must have a Bachelor’s degree in Electrical Engineering and at least 8 years of experience in electrical system design. A deep understanding of OCP power distribution standards and proficiency in relevant software tools are also required.

Skills: electrical engineering, power systems, data center design, modular design, high-density computing, autocad electrical, revit mep, power modeling tools, ocp standards, nec standards, nfpa standards, ieee standards, grounding, bonding, fault-current coordination, power redundancy

Summary: The ideal candidate has 5+ years of experience shipping quality software while mentoring peer software engineers in a start-up environment. They should communicate clearly, enjoy turning fuzzy goals into repeatable programs, and model healthy engineering habits.

Skills: mentorship, program design, communication, feedback, skill acquisition, ai best practices, collaboration, project leadership, system design, craftsmanship, learning resources

Summary: Candidates should have 5+ years of experience in data infrastructure or engineering roles and familiarity with relational databases and cloud-native big data infrastructure. Experience in advocating for new technologies and maintaining data warehouses is also essential.

Skills: data infrastructure, data engineering, analytics engineering, relational databases, postgres, mysql, dbt, airflow, cloud-native big data infrastructure, bigquery, vertex, data warehouse, etl, machine learning, data governance, data modeling

Summary: Candidates should have over 5 years of experience in software engineering and experience managing direct reports. A strong understanding of modern software frameworks and Agile processes is essential.

Skills: software engineering, team management, agile methodologies, saas applications, technical direction, continuous improvement, collaboration, security practices, compliance frameworks, test-driven development, developer efficiency, system architecture, people leadership, product roadmaps, vendor management

Summary: Candidates must have a Bachelor's degree in a related field and 12+ years of experience in testing web and mobile applications. Strong programming skills, particularly in JavaScript or TypeScript, and hands-on experience with test automation tools are essential.

Skills: quality engineering, test automation, ci/cd integration, agile methodologies, javascript, typescript, cypress, webdriverio, jira, git, sql, api testing, postman, soapui, healthcare domain knowledge, aws services

Summary: Candidates should have 10+ years of engineering leadership experience, including 2+ years in rapid prototyping. Hands-on expertise with modern GenAI techniques and a strong backend and cloud-native engineering background are essential.

Skills: engineering leadership, genai techniques, rapid prototyping, backend engineering, cloud-native engineering, technical rigor, effective communication, talent development, innovation culture, cross-functional collaboration, emerging research awareness, identity verification, fraud prevention, ai/ml research trends, enterprise saas, developer platforms

Summary: A BS or MS degree in Electrical Engineering or Computer Engineering is required, along with 5+ years of relevant industry experience. Strong fundamentals in electrical engineering and knowledge of digital design and system architectures are essential.

Skills: electrical engineering, digital design, signal integrity, statistics, timing analysis, fault analysis, sampling, computer architecture, high speed networks, debug procedures, test specifications, manufacturing processes, data analysis, continuous improvement, customer support

Summary: Current Drexel University student pursuing an undergraduate degree in a related field. Strong analytical skills and proficiency in programming languages are required.

Skills: software engineering, typescript, javascript, java, kotlin, python, c, c++, c#, devsecops, version control, web services, sql, ui/ux design, cloud services, secure development practices

Summary: Candidates should have at least 5 years of experience in writing detections at scale and significant experience in an AWS environment. Familiarity with security concepts and strong communication skills are also essential.

Skills: detection engineering, aws, python, sql, java, jupyter notebooks, machine learning, computer security, network security, continuous integration, continuous delivery, big data, risk management, communication skills, team collaboration, ambiguous environments

Summary: Proven experience as an Engineering Manager or Technical Lead with a strong record of delivering software projects. Candidates should have extensive experience in cloud-based application development and back-end development, particularly with Java frameworks.

Skills: software engineering, cloud-based application development, java frameworks, back-end development, system design, architecture, code quality, aws services, relational databases, nosql databases, agile methodologies, technical communication, test automation, api design, mentoring, collaboration

Summary: A BS or MS degree in Electrical Engineering or Computer Engineering is required, along with 5+ years of industry experience. Strong fundamentals in electrical engineering and knowledge of digital design and system architectures are essential.

Skills: electrical engineering, digital design, signal integrity, statistics, timing analysis, fault analysis, sampling, computer architecture, high speed networks, debug procedures, test specifications, manufacturing processes, data analysis, continuous improvement, customer support, quality assurance

Summary: Candidates should have 15+ years of relevant software engineering experience and a successful track record in driving key outcomes. Experience in hiring, growing, and retaining talent, as well as card-related domain knowledge, is preferred.

Skills: software engineering, full stack development, team leadership, product management, operational excellence, cross-functional collaboration, talent acquisition, card domain knowledge

Summary: Candidates should have 15+ years of relevant software engineering experience and a successful track record in driving key outcomes. Experience in hiring, growing, and retaining talent, as well as card-related domain knowledge, is preferred.

Skills: software engineering, full stack development, team leadership, product management, cross-functional collaboration, talent acquisition, card domain knowledge

Summary: Candidates must have at least 8 years of software engineering experience and 4 years of people management experience. A Bachelor's degree is required, with a preference for a Master's degree and additional experience in relevant technologies.

Skills: software engineering, cloud computing, people management, microservices, data management, security, engineering practices, agile, big data, data security, governance, controls, front-end development, containerization, open source, java, python

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: 7+ years of full-time experience in AI/ML, Data, or Full Stack Software Engineering is required. Strong background in software engineering, AI/ML/NLP engineering, and data analytics/engineering is essential.

Skills: python, sql, postgresql, pytorch, ai, ml, nlp, data engineering, data analytics, cloud computing, gcp, bigquery, dbt, pandas, healthcare, compliance

Summary: 7+ years of full-time experience in AI/ML, Data, or Full Stack Software Engineering with data-intensive systems is required. Strong background in software engineering, AI/ML/NLP engineering, and data analytics/engineering is essential.

Skills: python, sql, postgresql, pytorch, ai, ml, nlp, data engineering, data analytics, cloud computing, gcp, bigquery, dbt, pandas, healthcare, compliance

Summary: Candidates should have 2+ years of software engineering experience and be proficient in object-oriented programming languages. Experience with cloud services and modern cloud-based infrastructure is also required.

Skills: software engineering, python, scala, go, java, cloud services, airflow, kubernetes, ci/cd, spark, flink, data quality, data governance, automation, data analytics, incident management

Summary: Currently pursuing a Bachelor’s or Master’s degree in a related technical field with some experience in TypeScript and React. Strong interest in frontend development and good problem-solving skills are essential.

Skills: react, typescript, ui components, data visualization, dashboards, frontend development, ui/ux, human-computer interaction, performance optimization, state management, collaborative environment, figma, next.js, tailwind, responsive design, ai/ml integrations

Summary: Candidates should have a strong engineering background and a passion for mentoring and developing teams. Experience in leading engineering teams and a commitment to fostering a diverse and inclusive environment are essential.

Skills: software engineering, team leadership, product development, technical specs, debugging, hiring, collaboration, communication, diversity, developer experience, process improvement, project management, mentoring, agile methodologies, data simulation, pull request reviews

Summary: The role requires 8+ years of experience in building software products and a strong background in AI features. Candidates should have hands-on experience with LLMs and a proven track record of mentoring engineers and solving complex technical problems.

Skills: product development, ai features, user experience, prototyping, mentoring, technical leadership, software engineering, architecture, performance improvement, stability, maintainability, interaction design, problem solving, startup environment, team collaboration, user impact

Summary: Candidates should have 7+ years of experience in software development and 5+ years in managing software engineers. Experience with various software development methodologies and cross-platform software is essential.

Skills: software development, team management, coaching, mentoring, cross-platform software development, observability, data analysis, technical design, software quality, agile methodologies, communication, interpersonal skills, problem solving, leadership, collaboration, accountability

Summary: Candidates must have a bachelor's degree and significant experience in software engineering and machine learning. Leadership experience and proficiency in programming languages such as Python, Scala, or Java are also required.

Skills: machine learning, software engineering, data management, cloud computing, python, scala, java, data governance, agile, model training, hyperparameter tuning, data pipelines, continuous integration, deployment, responsible ai, explainable ai

Summary: Candidates should have a Bachelor's degree in Computer Science or a related field and a minimum of 3 years of experience with Java and Spring Boot. Experience with databases, Kubernetes, and microservices architecture is also required.

Skills: java, spring boot, relational databases, non-relational databases, kubernetes, microservices, cross-platform communication, kafka, jwt, public-key encryption, aws, docker

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: 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 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: 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 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 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: 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: 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: 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: 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: 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: 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: 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: 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: 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 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 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: 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: 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: 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: 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: 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: 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: 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 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 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: 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: 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: 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: 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: 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: 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 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