Data Engineering Jobs with Equity ≥ 4%

Summary: Bachelor's degree in computer science or equivalent is required, along with 8+ years of hands-on software development experience and 4+ years in management. Candidates should have experience in agile

Skills: leadership, software development, agile methodologies, project management, data analysis, team management, process improvement, communication skills, critical thinking, attention to detail, quantitative aptitude, data interpretation, curiosity, resilience, ethics, integrity

Summary: Candidates should have experience leading diverse engineering teams and a strong technical background in building scalable systems and AI/ML products. Effective cross-functional collaboration and the

Skills: engineering management, ai development, machine learning, full stack development, distributed systems, cloud-native microservices, cross-functional collaboration, technical leadership, scalable systems, prototyping, user-centric design, innovation, agile methodologies, data-driven approach, mentorship, problem solving

Summary: Candidates should have a minimum of 10 years of experience in delivering mobile applications, with at least 3 years in the medical industry. Proven leadership experience and a deep understanding of FD

Skills: software development, mobile applications, cloud technologies, api development, technical leadership, engineering management, fda regulatory guidelines, ai integration, cross-functional collaboration, agile methodologies, product development, team building, coding, architecture design, quality assurance, mentoring

Summary: Candidates must have a bachelor's degree in a relevant field and at least 12 years of IT experience, with a minimum of 5 years in cloud architecture roles. Proven expertise in Azure and extensive hand

Skills: azure, azure synapse analytics, databricks, python, spark, medallion architecture, etl, elt, ci/cd, data governance, data modeling, big data technologies, infrastructure as code, real-time data processing, ai/ml, database management, sql

Summary: Candidates should have 5+ years of software engineering experience and a passion for building systems that enhance AI performance. Experience with retrieval systems and knowledge bases is also importa

Skills: software engineering, ai evaluation systems, data pipelines, ai model optimization, knowledge bases, information extraction, python, golang, llms, prompt optimization, vector databases, ai evaluation tools, data pipeline, automation infrastructure

Summary: Candidates should have over 5 years of experience in large-scale data collection and software engineering, with a deep understanding of internet infrastructure. Proficiency in SQL and Python, along wi

Skills: data collection, software engineering, sql, python, data structures, algorithms, object-oriented programming, functional programming, aws technologies, microservice applications, communication skills, agile environment, creative thinking, troubleshooting, ai tools, data analysis

Summary: Frontend Engineering Interns should have experience with TypeScript, and experience with React is a plus. All Engineering Interns should be interested in honing their craft and appreciate quality in t

Skills: typescript, haskell, react, ui design, mentorship, communication, curiosity, quality assurance

Summary: Candidates should have experience with TypeScript and/or Haskell, and familiarity with SQL. A strong desire to learn and a commitment to quality work are essential.

Skills: typescript, haskell, sql, react, backend development, frontend development, collaboration, communication, problem solving, ui design, api integration, code optimization, mentorship, curiosity, quality assurance, technical writing

Summary: 5+ years of industry experience building high-scale, data-intensive software solutions is required. Proficiency in Golang or Java, with strong data engineering skills and cloud-native proficiency is e

Skills: golang, java, distributed systems, microservices architecture, etl pipelines, data replication, cloud-native architecture, kubernetes, problem solving, production debugging, collaboration, communication skills

Summary: Candidates should have experience in building production data pipelines and operating data streaming solutions on Kubernetes. Familiarity with cybersecurity principles and excellent problem-solving sk

Skills: data engineering, etl, elt, aws, kubernetes, kafka, redpanda, terraform, cybersecurity, api security, container security, problem-solving, communication, machine learning, generative ai, infrastructure-as-code

Summary: Lead engineering vision, manage teams, drive product development cycles using React, Node.js, PostgreSQL. Foster a culture of excellence in engineering.

Skills: react, node.js, postgresql

Summary: Design and manage data pipelines using Python, Airflow, and SQL to support pricing models and analytics.

Skills: python, airflow, sql

Summary: Lead data engineering, analytics, and automation. Requires Python, AWS, and Snowflake skills for data ingestion and pipelines.

Skills: python, aws, snowflake, airflow, airbyte

Summary: Candidates should have 5-8+ years of experience in data engineering with strong hands-on experience in Snowflake, Airflow, and AWS. Proficiency in Python and SQL is required, along with the ability to

Skills: data engineering, snowflake, airflow, aws, python, sql, etl, elt, data governance, ai, ci/cd, github, data quality, data lineage, data observability, mentoring

Summary: Manage post-sale customer relationships, technical support, and solutions for teams. Skills needed: GCP, coding, and customer communication.

Skills: gcp, coding

Summary: Proven experience leading engineering teams and delivering features in an Agile environment is essential. Candidates should have proficiency in multiple programming languages and familiarity with clou

Skills: leadership, technical versatility, cloud & devops, agile, communication, startup experience, python, c#, typescript, react, kubernetes, terraform, argocd, infrastructure-as-code, scrum, kanban

Summary: Requires 10+ years of experience in infrastructure engineering and 5+ years in engineering management. Candidates should have deep technical expertise in cloud infrastructure and a proven track record

Skills: infrastructure engineering, site reliability engineering, cloud cost optimization, developer tooling, service mesh, kubernetes, distributed systems, incident management, finops, technical communication, team building, cloud infrastructure, observability, security compliance, technical strategy, continuous improvement

Summary: Candidates should have at least 3 years of engineering management experience and 5 years of software engineering experience. Proficiency in programming languages such as Python and JavaScript, along w

Skills: engineering management, software engineering, python, javascript, vue, django, observability platforms, ai tools, database technologies, search engine technologies, communication, adaptability, cross-functional collaboration, strategic thinking

Summary: A minimum of 8 years of industry experience in data infrastructure/data engineering is required. Familiarity with AWS services and strong fundamentals in data structures and algorithms are also essent

Skills: data infrastructure, data engineering, python, sql, dbt, snowflake, infrastructure as code, cdk, terraform, aws, kafka, hadoop, spark, nosql, ci/cd, machine learning, business intelligence

Summary: You should have experience building data pipelines and working with ETL systems, as well as proficiency in SQL and programming in Python and Java. Familiarity with big data technologies and healthcare

Skills: data pipelines, etl systems, sql, data warehouse, python, java, big data technologies, kafka, spark, healthcare data formats, hl7, fhir

Summary: The ideal candidate will have 5+ years of experience in enterprise data management or data engineering roles and hands-on expertise with cloud data platforms. Strong proficiency in Python, PySpark, SQ

Skills: data management, data engineering, azure data factory, databricks, spark, snowflake, kafka, python, pyspark, sql, jupyter notebooks, devops, etl, powerbi, tableau, terraform

Summary: Candidates should have a minimum of 5 years of experience in software engineering or data engineering, with strong programming skills in Python, SQL, and Java. Familiarity with modern data lakehouse t

Skills: data engineering, etl processes, data pipelines, cloud technologies, python, sql, java, data streaming, apache kafka, aws kinesis, apache flink, apache spark, devsecops, agile, machine learning, data warehousing

Summary: Candidates should have 7+ years of hands-on experience in ML engineering and production model deployment, with expert proficiency in Python and ML frameworks. A deep understanding of transformer archi

Skills: python, ml frameworks, pytorch, tensorflow, jax, transformer architectures, attention mechanisms, nlp, mlops, cloud ml platforms, aws sagemaker, gcp vertex ai, azure ml, docker, kubernetes, llm fine-tuning, multimodal ai models

Summary: Requires a high school diploma or equivalent and must be a currently enrolled student in a STEM discipline with an expected graduation date of December 2026 or later. Experience or coursework in Pytho

Skills: python programming, backend technologies, rest apis, databases, cloud services, quality assurance, test automation, ai tools, collaboration, detail-oriented, fast-paced environment

Summary: Requires a high school diploma or equivalent and must be a currently enrolled student in a STEM discipline. Expected graduation date should be December 2026 or later.

Skills: analytical mindset, data analysis, machine learning, model training, python, go, predictive models, dashboard creation

Summary: Candidates should have a bachelor's degree in a related field or equivalent experience, along with a minimum of 5 years of hands-on experience in data integration and reporting. Proficiency in SQL and

Skills: data integration, etl workflows, sql, python, power bi, microsoft stack technologies, process automation, technical documentation, problem-solving, critical thinking, communication, collaboration

Summary: Candidates should have 7+ years in data engineering, including 2+ years in a lead role, with strong expertise in Python and SQL. Experience in designing and scaling data platforms in a high-growth env

Skills: python, sql, data engineering, data modelling, data architecture, orchestration frameworks, mentoring, data pipelines, analytics, aws, snowflake, apache iceberg, infrastructure-as-code, observability, automation, version control

Summary: Candidates must have a degree in engineering or equivalent experience in servicing medical equipment, along with leadership experience. Strong communication skills and the ability to manage financial

Skills: customer service, team leadership, technical support, communication, financial management, problem solving, biomedical engineering, medical equipment, performance development, regulatory compliance, inventory management, technical documentation, training, relationship management, data analysis, service quality

Summary: Candidates should have 15+ years of experience in quality engineering, with at least 10 years in leadership roles. Proven expertise in developing end-to-end quality assurance strategies and hands-on e

Skills: quality engineering, leadership, test automation, ci/cd pipelines, agile development, cloud-based architectures, security testing, distributed systems, end-to-end testing, performance testing, root cause analysis, cross-functional collaboration, risk management, customer engagement, mentoring, metrics tracking

Summary: The ideal candidate will have at least 5 years of experience in software engineering, with 3+ years managing technical teams. A strong hands-on software engineering background and expertise in cloud c

Skills: leadership, mentoring, project management, agile methodologies, devops practices, cloud computing, software engineering, ai implementation, machine learning, technical communication, team development, continuous improvement, stakeholder collaboration, process optimization, innovation, customer focus

Summary: Candidates should have a minimum of 10 years of experience in DevOps engineering, including 5+ years managing teams. Strong hands-on experience with cloud platforms and containerization technologies i

Skills: leadership, devops, cloud migrations, ci/cd pipelines, containerization, orchestration technologies, microservices architecture, scripting, automation tools, security best practices, project management, agile methodologies, collaboration, technical expertise, disaster recovery, business continuity

Summary: Candidates should have over 3 years of experience in managing technical teams and a strong background in customer-facing support roles. A commitment to data-driven management and experience in handlin

Skills: technical support, team management, customer success, communication skills, data-driven decision making, process improvement, escalation handling, metric-driven management, mentoring, hiring, operational health, collaboration, performance analysis, remote team management, technical expertise, customer interaction

Summary: A Bachelor's degree in Computer Science or a related field and a minimum of 10 years of experience with software engineering are required. Candidates must also have at least 6 years of people manageme

Skills: software engineering, microservice architecture, application design, agile development, devops practices, continuous integration, continuous delivery, cloud-native platforms, java spring boot, restful apis, graphql, team leadership, mentoring, customer-centric mindset, process improvement, incident management

Summary: Candidates should have strong experience in Python and Django, along with familiarity in React. Leadership skills, excellent communication, and a background in compliance frameworks are also essential

Skills: python, django, backend development, apis, database management, caching, async jobs, react, aws, ci/cd, monitoring, logging, compliance, security, communication, team culture, mentoring

Summary: Candidates should have a Bachelor's or Master's degree in a related field, with 15+ years of experience in product development and at least 10 years in a senior leadership role. A strong technical bac

Skills: digital transformation, engineering excellence, product development, system integrations, interoperability, cross-functional collaboration, performance indicators, customer advocacy, automation solutions, tooling ecosystem, industry trends, team management, continuous improvement, collaboration, accountability, innovation

Summary: Candidates must have US citizenship and experience in the public sector, along with 5+ years in technical sales engineering and 3+ years in team management. A strong technical background and excellent

Skills: sales engineering, team leadership, public sector expertise, technical authority, client engagement, solution development, business growth, digital technologies, communication skills, client relationships, rpa, ai, process automation, compliance requirements, digital transformation, government procurement

Summary: Proven experience leading engineering teams in a high-growth environment is essential. A strong technical background with experience in relevant technologies and a focus on customer value is required.

Skills: engineering leadership, distributed systems, production infrastructure, golang, python, kubernetes, sql, olap databases, stream processing, communication, collaboration, customer value, team building, observability, monitoring, infrastructure

Summary: Candidates should have proven experience leading distributed engineering teams and a background in building and deploying software in a SaaS environment. A bachelor's degree in a relevant field and at

Skills: engineering management, devops tools, productivity metrics, developer platforms, saas environment, agile environment, engineering practices, customer collaboration, team leadership, mentoring, software development, technical support, data-driven decision making, code quality, production robustness, hiring

Summary: Candidates should have hands-on experience with modern GenAI stacks and deploying ML/AI systems in production. A product-centric mindset and the ability to work in fast-paced environments are essentia

Skills: applied ai, software engineering, machine learning, llms, integration testing, user feedback, code reviews, graph technology, semantic search, multi-language codebase, genai stack, kotlin, java, ide extensions, developer tools, agile development

Summary: Candidates should have over 5 years of hands-on application security experience and at least 3 years of engineering management experience. A deep understanding of secure software development practices

Skills: engineering management, application security, team leadership, security strategy, threat modeling, vulnerability remediation, cloud security, web application security, secure software development, code review, container security, kubernetes, malware analysis, security research, communication skills, technical leadership

Summary: Candidates must have a bachelor's degree in a quantitative field or equivalent experience in Information Technology. Hands-on experience with SQL, Hadoop, and programming in Scala, Java, or Python is

Skills: data engineering, hadoop, nosql, kafka, spark, ab initio, sql, shell scripting, data quality, data governance, agile methodology, data analysis, cloud services, etl, data warehousing, collibra

Summary: A Bachelor's degree in a quantitative or business field is required, along with 0-2 years of related experience. Technical skills in data analysis, cloud applications, and programming languages such a

Skills: data analysis, data collection, data quality, data validation, qa testing tools, cloud applications, cloud computing, big data, data manipulation, data mining, python, tableau, c#, java, javascript, sql

Summary: The ideal candidate will have 5+ years of experience building large-scale, real-time distributed systems and proficiency in Python and SQL. Familiarity with event-driven architectures and cloud platfo

Skills: data engineering, python, sql, java, scala, nosql, data pipelines, event-driven architectures, messaging frameworks, cloud platforms, erp solutions, hcm solutions, ci/cd, testing, secure coding, collaboration

Summary: The ideal candidate will have proven experience building and operating SaaS or large-scale internal compute infrastructure, with strong software engineering skills in Golang or similar languages. Know

Skills: software engineering, golang, kubernetes, cloud networking, multi-tenant architectures, problem-solving, communication, on-call support, infrastructure optimization, monitoring tools, logging tools, observability tools, apache airflow, cloud technologies, container technologies, disaster recovery

Summary: The ideal candidate should have a bachelor's degree in a related field and 4-6 years of professional experience in data engineering. Proficiency in SQL and experience with high-performance data pipeli

Skills: data engineering, sql, snowflake, informatica, data pipelines, data management, devops, ci/cd, automation, data quality, real-time processing, mentoring, problem-solving, communication, organizational skills

Summary: Candidates should have over 5 years of experience in data management or engineering, with expertise in building data pipelines and performing data analysis. A bachelor's degree in a related field is r

Skills: data management, data engineering, data pipelines, azure data factory, databricks, spark, sql, python, powerbi, tableau, agile, devops, etl, data quality, metadata, collaboration

Summary: Candidates must have 5+ years of data engineering experience and familiarity with multiple cloud platforms. Strong analytic skills and experience with big data tools are also required.

Skills: data engineering, cloud platforms, sql, data modeling, machine learning, data analysis, big data, hadoop, spark, kafka, data quality, data governance, data pipelines, documentation, data security, business intelligence

Summary: Candidates should have at least 7 years of experience in software engineering and 2 years in engineering management. A strong understanding of high-quality code and effective software engineering proc

Skills: software engineering, engineering management, full-stack development, team building, coaching, collaboration, architectural decisions, high-quality code, engineering processes, recruitment, engineering quality, multi-tenanted systems, distributed systems, technical documentation, troubleshooting, incident management

Summary: At least 7 years of software engineering experience and 2 years of engineering management experience are required. Candidates should have a strong understanding of high-quality code, distributed syste

Skills: software engineering, engineering management, high-quality code, distributed systems, technical leadership, recruitment, system architecture, product collaboration, customer obsession, observability, incident management, code review, golang, mongodb, redis, financial systems

Summary: Candidates should have 7+ years of experience in Release Engineering or Platform Engineering, with at least 3 years in a management role. A solid background in software engineering and strong project

Skills: release engineering, platform engineering, ci/cd, cloud services, aws, project management, software engineering, team leadership, terraform, kubernetes, distributed systems, problem identification, stakeholder alignment, vendor management, cross-functional collaboration, technical strategy

Summary: Candidates should have 8+ years of engineering leadership experience and a proven track record of scaling engineering organizations. Strong decision-making skills and effective communication abilities

Skills: engineering leadership, team building, technical strategy, developer productivity, coaching, mentoring, communication, decision making, innovation, execution, business acumen, compliance, fedramp authorization, high growth environment, complex products, platform principles

Summary: Candidates should have 7+ years of experience in ML or Applied AI, with proven experience in shipping production ML models. Strong engineering fundamentals, leadership skills, and the ability to creat

Skills: machine learning, mlops, model development, technical leadership, cross-functional collaboration, communication, engineering fundamentals, process design, team building, production systems, infrastructure alignment, roadmap planning, mentoring, startup experience, predictive modeling, real-time data products

Summary: Proven experience as a technical lead or manager in an infrastructure or DevOps-focused team is required. Candidates should have hands-on experience with cloud infrastructure and strong project manage

Skills: technical leadership, cloud infrastructure, service reliability, platform scaling, project management, collaboration, communication, budget management, vendor evaluation, multi-cloud support, data encryption, mlops, ai infrastructure, ci/cd, observability, mentorship

Summary: 5+ years of experience in a Security Operations Center or security engineering team with people management experience is required. Candidates should have technical proficiency with detection tools and

Skills: security operations center, security engineering, people management, identity tools, cloud tools, endpoint detection, investigations, operational metrics, high-pressure environments, customer relationships, root cause analysis, threat detection, coaching, mentoring, team building, security automation

Summary: Candidates should have a Bachelor's or Master's degree in a relevant field and at least 8 years of industry experience, including 2 years in a management role. A strong background in software engineer

Skills: engineering management, user experience strategies, data-driven insights, collaboration, software engineering, backend systems, programming languages, distributed systems, team management, communication, leadership, innovation, experimentation, growth strategies, mobile engineering, technical leadership

Summary: The ideal candidate should have at least 3 years of experience managing a cross-functional engineering team and 5 years as a hands-on Software Engineer. A passion for mentoring engineers and expertise

Skills: digital privacy, software development, data security, scalability, distributed systems, agile development, software architecture, backend services, go, java, c++, devops, cloud platforms, open-source, data security, cryptography, identity management

Summary: Candidates should have at least 3 years of experience engineering data systems with technologies like Spark, Beam, or Flink, and strong experience in relational database schema design. Excellent commu

Skills: software engineering, data systems, api development, relational database design, cloud infrastructure, devops, communication, ownership, craftsmanship

Summary: A Bachelor's degree in a quantitative or business field is required, along with 0-2 years of related experience. Technical skills in data analysis, cloud applications, and programming languages such a

Skills: data analysis, data collection, data quality, data validation, qa testing tools, cloud applications, cloud computing, big data, data manipulation, data mining, python, tableau, c#, java, javascript, sql

Summary: 5+ years of experience building production data pipelines with real user data at scale is required. Deep expertise in SQL and Python, along with experience in modern data stack tools and event-driven

Skills: data engineering, sql, python, bigquery, snowflake, redshift, dbt, airflow, dagster, architectural thinking, event-driven architectures, kafka, pub/sub, sqs, streaming, batch

Summary: Candidates must have 4+ years of hands-on experience in data engineering and deep expertise in building and optimizing data pipelines. A Bachelor's degree in a quantitative field is required, along wi

Skills: data engineering, data pipelines, etl, sql, cloud data warehouse, snowflake, streaming data technologies, medallion architecture, aws, python, data transformation, dbt, mlops, collaboration, data governance, machine learning

Summary: Candidates must be enrolled in an undergraduate program at an accredited university or college, preferably in a related field. A high school diploma or equivalent is required, and SQL experience is a

Skills: data engineering, analytics, linux, python, shell scripts, sql, managed care, research, training, development

Summary: Candidates should have a bachelor's degree in Computer Science or a related field, or equivalent experience, along with 2-4 years of experience with Epic applications and BI tools. Proficiency in data

Skills: business intelligence, data visualization, database design, sql, etl processes, analytical skills, problem solving, communication skills, team orientation, customer service, epic applications, healthcare data, project management, documentation, user training, mentoring

Summary: Proven experience leading engineering teams in CI/CD, build systems, or developer productivity domains is essential. Strong expertise with modern build and test automation tools and a solid programmin

Skills: leadership, problem-solving, continuous integration, build systems, developer productivity, automation, cloud-native environments, infrastructure-as-code, python, kotlin, java, monitoring, alerting, incident response, collaboration, technical growth, evangelizing best practices

Summary: Currently enrolled in or recently graduated from a Computer Science, Engineering, or related program. Familiarity with at least one programming language is required.

Skills: software engineering, coding, debugging, reviewing, agile development, documentation, python, javascript, c++, communication, learning

Summary: You should have 8+ years of experience in backend systems and a strong track record in developing distributed systems. Strong communication skills and the ability to thrive in ambiguity are essential.

Skills: python, kotlin, aws, mysql, spark, kubernetes, distributed systems, technical strategy, cross-functional communication, code review, design standards, operational processes, monitoring, triage rotations, feedback, leadership

Summary: Candidates should have hands-on experience with modern GenAI stacks and deploying ML/AI systems in production. A product-centric mindset and the ability to work in fast-paced environments are also ess

Skills: applied ai, software engineering, machine learning, genai, llms, code review, user feedback, integration testing, semantic search, graph technology, kotlin, java, ide extensions, developer tools, orchestration frameworks, vector dbs

Summary: Experience in building frontend applications using best practices, documentation, and testing is essential. A proactive approach to project delivery and a design-oriented mindset are also important.

Skills: frontend development, react, typescript, data manipulation, community engagement, operational excellence, user experience, mentorship, innovation, problem solving, collaboration, communication, cloud development, systems engineering, agile methodologies, prototyping

Summary: Experience in building frontend applications using React and TypeScript is essential. A proactive approach to project delivery and a design-oriented mindset are also important.

Skills: frontend development, react, typescript, data manipulation, community engagement, operational excellence, user experience, mentorship, innovation, problem solving, collaboration, cloud development, systems engineering, agile methodologies, code readability, testing

Summary: Candidates should have solid experience in Azure, specifically Azure Databricks and Azure SQL/SQL Server, along with proficiency in SQL and Python. Familiarity with data modelling methodologies and bu

Skills: azure, azure databricks, azure sql, sql, python, azure data factory, data modelling, metadata driven pipelines, data quality, data integrity, data security, agile principles, azure devops, apache airflow, dbt, bigquery

Summary: Candidates should have over 3 years of engineering management experience and at least 5 years of hands-on experience with distributed serving systems. A strong background in query engines, caching, an

Skills: engineering management, distributed systems, query optimization, python, sql, kubernetes, data performance, collaboration, data infrastructure, apis, caching, indexing, real-time ingestion, olap, mentorship, incident response

Summary: Candidates should have experience in performance management and running agile teams. Familiarity with modern JavaScript frameworks and experience in a SaaS environment are also preferred.

Skills: leadership, mentoring, agile methodologies, collaboration, performance management, saas development, javascript frameworks, emotional intelligence, cross-functional collaboration, product management, technical direction, project management, continuous improvement, risk management, team development, customer focus

Summary: A Bachelor’s Degree in Engineering or related field is required, along with a minimum of five years of engineering or project management experience in the dairy industry. Strong knowledge of dairy pro

Skills: engineering, project management, dairy processing, automation, control systems, hvac, utilities, accounting principles, autocad, microsoft office suite, microsoft project, interpersonal skills, communication skills, analytical skills, strategic thinking, time management

Summary: The position requires 2+ years of experience managing engineering teams and familiarity with cloud providers like AWS or Azure. Experience with Kubernetes and AI/ML applications in cloud operations is

Skills: site reliability engineering, kubernetes, cloud services, ai/ml, automation, agile project management, docker, problem management, observability, team leadership, customer support, communication, project delivery, toil reduction, root cause analysis, distributed teams

Summary: Candidates must have a bachelor's degree or equivalent work experience, with at least 4 years in data engineering/IT/project management, including 2 years in a management role. Experience with data se

Skills: it architecture, agile, project management, data engineering, hadoop, spark, software development, database management, communication, conflict resolution, team leadership, process improvement, analytical skills, interpersonal skills, healthcare data, emotional intelligence

Summary: Bachelor’s degree in computer science or equivalent with 8+ years of software development experience and 4+ years in management. Proficiency in Java, Oracle SQL, and experience in an agile environment

Skills: leadership, software development, java development, oracle sql, data architecture, agile environment, process improvement, automation, communication, mentoring, risk management, team building, project management, technical leadership, customer satisfaction, collaboration

Summary: Candidates should have over 5 years of experience in the high-tech industry, with a background in roles such as Developer or Sales Engineer. Experience in open-source selling and formal sales methodol

Skills: solutions engineering, team management, sales strategy, customer success, open source, cloud technologies, monitoring, observability, devops, sales methodology, coaching, technical validation, pipeline development, collaboration, community engagement, product management

Summary: Candidates should have a Bachelor's Degree in Engineering or a related field and at least 10 years of experience in sales engineering, with 5 years in a management role. Excellent knowledge of network

Skills: sales engineering, systems engineering, network security, project management, technical qualification, proof-of-concept, customer proposals, product demonstrations, rfp response, collaboration

Summary: The ideal candidate has experience in high-growth environments and a strong balance of strategic vision and hands-on problem-solving. Expertise in backend platforms, microservices architecture, and CI

Skills: leadership, software engineering, microservices architecture, ci/cd, developer experience, operational excellence, agile, kanban, security, compliance, cloud security, backend platforms, event-driven architecture, team building, architectural improvements, testing strategy

Summary: The ideal candidate has proven experience in high-growth environments, with a strong balance of strategic vision and hands-on problem-solving skills. Expertise in backend platforms, microservices arch

Skills: leadership, software engineering, microservices architecture, ci/cd, developer experience, operational excellence, agile, kanban, security, compliance, backend platforms, event-driven architecture, testing strategy, cloud security, embedded systems, ai, machine learning

Summary: 5+ years of experience in a Security Operations Center or security engineering team with people management experience is required. Candidates should have technical proficiency with EDR tools and the a

Skills: security operations, threat detection, cloud telemetry, identity telemetry, endpoint detection, people management, operational metrics, root cause analysis, customer experience, technical proficiency, high-pressure environments, team building, software development, security automation

Summary: Candidates should have experience managing high-performing engineers and a strong background in data warehousing architecture. Familiarity with hiring processes and a hands-on approach to leadership a

Skills: data warehousing, analytics engineering, team leadership, project management, data governance, etl, big data, data visualization, technical mentoring, hiring, architecture, design, collaboration, problem solving, financial services, regulatory compliance

Summary: Candidates must have a bachelor's degree and 5-10 years of experience in large scale projects within the utility business, particularly in substations. Professional Engineer License and/or Project Man

Skills: project management, leadership, risk management, budgeting, communication management, change management, schedule management, construction management, commissioning management, quality management, environmental management, team management, stakeholder management, microsoft project, excel, powerpoint

Summary: Candidates must have a bachelor's degree and 5-10 years of experience in large scale projects within the utility business, particularly in substations. Professional Engineer License and/or Project Man

Skills: project management, leadership, budgeting, communication, change management, schedule management, construction management, risk management, regulatory management, stakeholder management, quality management, environmental management, microsoft project, excel, powerpoint, word

Summary: Candidates should have over 7 years of experience in Production Engineering or Technical Support, with at least 3 years in a leadership role. A strong understanding of incident management and excellen

Skills: production engineering, technical support, leadership, data-driven approaches, incident management, root cause analysis, troubleshooting, cross-functional communication, global team management, automation, scripting, cloud platforms, servicenow, jira, azure devops, observability tools

Summary: 2+ years of experience managing teams of developers is required, along with core technical knowledge in Java, Spring, and AWS. A strong understanding of computer science principles and SDLC best pract

Skills: people management, software development, java, spring, aws, mongodb, postgres, python, c#/.net, agile process improvement, code reviews, architecture, scalability, reliability, coaching, mentoring

Summary: 10+ years in engineering leadership with experience in large-scale systems. Proven ability to manage teams and connect engineering decisions to business goals.

Skills: distributed systems, technical strategy, team building, cross-functional collaboration, cloud native architectures, technical debt management, performance optimization, scalability, reliability, developer workflows, data platforms, leadership, communication, inclusive culture, mentorship, business outcomes

Summary: Candidates should have over 5 years of experience managing software engineering teams and a strong background in software engineering. A Bachelor's or Master's degree in Computer Science or equivalent

Skills: team leadership, project management, collaboration, technical guidance, performance management, software engineering, dev-ops best practices, interpersonal skills

Summary: Candidates should have 2+ years of experience managing engineering teams and a strong understanding of SRE practices. Excellent communication skills and the ability to lead teams through change in a f

Skills: site reliability engineering, automation, toil reduction, root cause analysis, project management, customer engagement, communication, collaboration, incident management, cloud services, linux, containers, distributed systems, red hat openshift, kubernetes, technical leadership

Summary: Candidates should have over 5 years of experience building complex systems and proficiency in TypeScript, APIs, and databases. Frontend expertise with React/Next.js and experience with AI-assisted dev

Skills: typescript, apis, databases, data architecture, react, next.js, ai-assisted development, collaboration, adaptability, ownership

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

Skills: software engineering, full stack development, cloud computing, javascript, java, html/css, typescript, sql, python, go, microservices, agile practices, container orchestration, aws, mentoring, data management

Summary: Candidates must have a Bachelor’s or Master’s degree in a related field and at least 5 years of experience in data modeling and analytics. An active security clearance and US citizenship are also requ

Skills: data mining, analytics, cyber security, data modeling, programming, sql, cloud computing, databricks, jupyter, data analysis, data transformation, performance monitoring, communication, interpersonal skills, aws, cyber threats

Summary: Experience in building and operating SaaS infrastructure or managing a large-scale compute platform is required. Candidates should have software engineering expertise, preferably in Golang, and a pass

Skills: saas infrastructure, golang, kubernetes, cloud providers, security, operational excellence, communication skills, on-call rotation, resiliency, scale, apache airflow, multi-cloud environment, data pipelines, network access, disaster recovery, cloud quota management

Summary: Candidates should have at least 3 years of experience in engineering data systems and strong skills in relational database schema design. Experience with cloud infrastructure DevOps and excellent comm

Skills: data engineering, spark, beam, flink, relational database, devops, communication, ownership, craftsmanship

Summary: Candidates should have strong experience in non-abstract systems design and implementation, along with proficiency in Python, Golang, and Kubernetes. A passion for reliability and operational excellen

Skills: python, golang, kubernetes, observability, communication, reliability, operational excellence, software development best practices, incident management, documentation, saas, paas, aws, gcp, azure, apache airflow

Summary: 3+ years of experience with large-scale data and query optimization techniques is required. Proficiency in SQL and experience with AWS cloud services are essential.

Skills: data engineering, sql, aws, etl, data visualization, problem solving, scripting, cloud services, nosql, rdbms, data structures, algorithms, distributed systems, stream-processing, communication, teamwork

Summary: Candidates must be currently enrolled in an accredited university pursuing a Bachelor’s degree in Computer Science or a related technical field. They should have hands-on programming experience in rel

Skills: software development, agile methodologies, programming, python, java, c++, c#, sql, analytical skills, problem-solving, unit testing, debugging, collaboration, technical design, digital transformation, data privacy

Summary: Candidates must have significant experience in software engineering, particularly with Golang and Python, and a strong understanding of data architecture. A relevant degree and extensive experience in

Skills: golang, python, api design, google kubernetes engine, google cloud platform, microservices, event-driven architecture, ci/cd, infrastructure as code, data architecture, observability, apache kafka, sql, git, machine learning, generative ai

Summary: Candidates should have 7+ years of progressive engineering experience, including 3+ years in a leadership role. A strong technical background in modern software architecture and full-stack development

Skills: software engineering, technical leadership, javascript, typescript, node.js, react, angular, sql server, microservices, apis, cloud-native development, ci/cd, devops, security, data analytics, communication

Summary: Candidates should have extensive experience delivering data engineering projects with advanced skills in SQL and Python. Knowledge of Databricks and experience with PySpark, code control, and CI/CD pr

Skills: data engineering, sql, python, databricks, pyspark, git, ci/cd, dbt, atlassian, infrastructure as code

Summary: Candidates should have at least 3 years of experience in a similar role and strong expertise in DBT, SQL, Python, and data orchestration frameworks. A degree in Computer Science, Engineering, IT, or a

Skills: data engineering, dbt, sql, python, data orchestration, etl, elt, data modeling, data mining, big data processing, cloud environments, google cloud platform, relational databases, bi tools, analytics, problem solving

Summary: Candidates must have a Bachelor's Degree and 8 years of experience in applications development or a High School Diploma with 12 years of experience. Preferred qualifications include experience in buil

Skills: software engineering, agile methodologies, team management, application development, microservices, cloud migration, devops, security best practices, react, node.js, java/springboot, apis, database integration, project management, collaboration, problem solving

Summary: Candidates should have over 5 years of experience in building complex systems and proficiency in TypeScript, APIs, and databases. Frontend expertise with React/Next.js and experience with AI-assisted

Skills: typescript, apis, databases, data architecture, react, next.js, ai-assisted development, collaboration, adaptability, ownership

Summary: Candidates should have over 5 years of experience in building data infrastructure and proven skills in ETL/ELT workflows. Expertise in SQL and familiarity with cloud-based architectures, particularly

Skills: data engineering, etl, data pipelines, sql, python, aws, data modeling, cloud architecture, ci/cd, monitoring, data integrity, data quality, automation, infrastructure-as-code, analytics, business intelligence

Summary: Candidates must have 4+ years of professional experience in Software Engineering and a Master's degree in Computer Science or a related field. A passion for teaching and prior classroom experience are

Skills: software engineering, teaching, full-stack web development, html, css, python, flask, bigquery, docker, project management, mentoring, technical skills, interpersonal skills, inclusive education, classroom leadership, genai

Summary: Candidates must have 3+ years of software engineering experience and a bachelor's degree in computer science or a related field. They should also demonstrate a passion for teaching and prior experienc

Skills: software engineering, mentorship, project management, full-stack development, html, css, python, flask, bigquery, docker, teaching, collaboration, communication, conflict resolution, cloud frameworks, technical skills

Summary: Support design and testing of electrical systems for spacecraft. Skills: circuit design, embedded systems, ECAD tools.

Skills: ecad, embedded systems, circuit design

Summary: Join as an Electrical Engineering Intern to design and test electrical systems for spacecraft. Skills: circuit design, embedded systems, prototyping, and power system knowledge.

Skills: circuit design, embedded systems, prototyping

Summary: Candidates must have a minimum of 5 years of developer experience and at least 1 year in a leadership role. Experience with Ruby on Rails and React is also required.

Skills: leadership, team management, software development, ruby on rails, react, code quality, project management, collaboration, technical debt management, innovation, career development, performance management, agile methodologies, api development, postmortem analysis, cross-functional collaboration

Summary: Bachelor’s degree in computer science or equivalent and 8+ years of hands-on experience in software development are required. A minimum of 4+ years of management experience with increasing responsibil

Skills: software development, team leadership, project management, java development, oracle sql, data architecture, agile methodology, process improvement, automation, root cause analysis, communication, mentoring, customer satisfaction, collaboration, technical guidance, continuous improvement

Summary: Candidates should have a Bachelor’s or Master’s degree in Computer Science or related fields, along with 5+ years of hands-on C++ experience. A minimum of 3 years managing high-performing engineering

Skills: c++, cross-platform development, multi-threaded applications, high-performance systems, linux, windows, osx, memory management, debugging, profiling, socket filters, ssl, transparent proxies, cmake, qt, embedded systems

Summary: Proven leadership experience in Solutions Engineering or a similar technical sales role is required. Candidates should have a strong track record of coaching high-performing teams and deep knowledge o

Skills: leadership, solutions engineering, sales strategy, coaching, team development, saas, cloud value creation, customer engagement, process scaling, operational rigor

Summary: Candidates should have over 5 years of experience in software engineering and at least 2 years in a management role. Familiarity with EHR APIs and healthcare data exchange standards is a plus.

Skills: software engineering, team management, project management, technical leadership, ehr interoperability, healthcare regulations, cloud platforms, frontend development, backend development, data standards, mentorship, agile methodologies, constructive feedback, security compliance, continuous learning, startup experience

Summary: Candidates must have over 5 years of experience as a sales engineering manager and as a sales engineer. Excellent communication skills and a strong understanding of the Identity Security market are es

Skills: sales engineering, team management, analytical skills, problem-solving skills, management consulting skills, sales methodology, product presentations, training development, account planning, strategy development, communication skills, identity governance, federal market understanding, security drivers, regulatory drivers

Summary: Bachelor's degree in Civil/Environmental Engineering and 8+ years of relevant experience are required. Candidates should have excellent communication skills and experience in project/task and staff ma

Skills: project management, stormwater management, hydrology, hydraulic modeling, engineering design, client relations, business development, team leadership, cad, gis, mentoring, proposal development, construction drawings, environmental design, technical writing, green infrastructure

Summary: Bachelor's degree in Civil/Environmental Engineering and 8+ years of relevant experience are required. Candidates should have hydrologic and hydraulic modeling experience and excellent communication s

Skills: project management, stormwater management, hydrology, hydraulic modeling, engineering design, client relations, business development, mentoring, cad, gis, communication skills, team collaboration, proposal development, construction drawings, environmental design, nature-based design

Summary: Bachelor's degree in Civil/Environmental Engineering and 8+ years of relevant experience are required. Candidates should have hydrologic and hydraulic modeling experience and excellent communication s

Skills: project management, stormwater management, hydrology, hydraulic modeling, engineering design, client relations, business development, mentoring, cad, gis, communication skills, team collaboration, proposal development, construction drawings, environmental design, nature-based design

Summary: Candidates should have a B.S. in Civil Engineering and 7+ years of experience in transportation planning and design. A Professional Engineer (PE) license in California is highly preferred.

Skills: civil engineering, transportation planning, roadway design, multimodal design, complete streets, transit facilities, agency coordination, autocad, civil 3d, quality control, stormwater integration, mentoring, project management, environmental coordination, utility infrastructure, drainage design

Summary: Candidates should have 7+ years of experience in transportation planning and a B.S. in Civil Engineering or a related field. A Professional Engineer (PE) license in California is highly preferred.

Skills: civil engineering, transportation planning, roadway design, multimodal design, complete streets, transit facilities, agency coordination, autocad, civil 3d, quality control, stormwater integration, mentoring, project management, environmental coordination, utility infrastructure, drainage design

Summary: Candidates should have 7+ years of experience in transportation planning and a B.S. in Civil Engineering or a related field. A Professional Engineer (PE) license in California is highly preferred.

Skills: civil engineering, transportation planning, roadway design, multimodal design, complete streets, transit facilities, agency coordination, autocad, civil 3d, quality control, stormwater integration, mentoring, project management, environmental coordination, regulatory compliance

Summary: Candidates should have 7+ years of experience in transportation planning and a B.S. in Civil Engineering or a related field. A Professional Engineer (PE) license in California is highly preferred.

Skills: civil engineering, transportation planning, roadway design, multimodal design, transit facilities, agency coordination, autocad, civil 3d, complete streets, mentoring, quality control, stormwater integration, environmental coordination, project management, utility infrastructure, drainage design

Summary: Candidates must have 2+ years of experience in an engineering management role and 5+ years of experience building software at scale. Strong collaboration skills and technical expertise are essential f

Skills: engineering management, software development, collaboration, technical strategy, leadership, data science, product management, a/b testing, market research, coaching, full-stack development, infrastructure management, team culture, cross-functional collaboration, problem solving, communication

Summary: Experience leading engineering teams in rapidly scaling environments is essential, along with the ability to mentor engineers. Candidates should be technically astute and familiar with agile methodolo

Skills: leadership, devops, platform engineering, agile methodologies, cloud environments, continuous delivery, infrastructure-as-code, code quality, security, scalability, mentoring, coaching, technical discussions, software development, team management, stakeholder engagement

Summary: Requires a Bachelor's degree and 5+ years of related experience, or equivalent experience. A Master's Degree in Computer Science, Information Technology, or a related field is preferred.

Skills: application development, applications architecture, devops, agile software development, java, pega, javascript

Summary: Candidates must have 8+ years of Systems Engineering ITIL experience and 5+ years of formal leadership in technology organizations. A strong background in designing scalable management systems and kno

Skills: systems engineering, itil, leadership, agile, cloud-based services, data governance, risk management, information security, collaboration, communication, technology strategy, user-centered design, virtualization, automation technologies, business continuity, disaster recovery

Summary: A Bachelor's degree in Computer Science or a related field with a minimum of 10 years of experience in software engineering is required. Candidates must also have at least 6 years of people management

Skills: software engineering, microservice architecture, application design, agile development, devops practices, continuous integration, continuous delivery, cloud-native platforms, java spring boot, restful apis, graphql, team leadership, mentoring, process improvement, customer-centric mindset, technical excellence

Summary: The ideal candidate should have over 5 years of experience in building and managing high-performing teams and delivering reliable enterprise-grade products. Strong collaboration and communication skil

Skills: leadership, software engineering, api development, product management, collaboration, communication, team building, strategic thinking, data analysis, kpi monitoring, content ingestion, distributed systems, backend development, ui/ux design, risk management, decision making

Summary: Candidates should have 8-12+ years of progressive engineering experience, including at least 3+ years in a senior leadership role. A Bachelor's degree in Computer Science is required, along with a hac

Skills: engineering management, technical strategy, e-commerce, logistics, custom manufacturing, team building, mentorship, architecture, high-volume systems, ai/ml integration, ruby on rails, aws, rust, python, cross-functional collaboration, pragmatic leadership

Summary: 8+ years of hands-on security engineering experience, with significant time in cloud-native environments. Proven track record in developing security roadmaps and leading major security incidents.

Skills: cloud security expertise, infrastructure as code, ci/cd & devsecops, container & orchestration security, scripting & automation, core security domains

Summary: Candidates should have 8+ years of security and software engineering experience, particularly with AWS and cloud-native infrastructure. Strong communication skills and experience with SOC 2 and HIPAA

Skills: aws, cloud security, security engineering, compliance, vulnerability management, governance, risk management, software engineering, terraform, kubernetes, hipaa, soc 2, python, typescript, container security, observability

Summary: Candidates should have a Bachelor's Degree or equivalent experience, with a track record of shipping and maintaining software products in Go. Extensive experience in system design for large-scale appl

Skills: go, data engineering, software craftsmanship, algorithms, data structures, system design, architecture, apache kafka, unit testing, test driven development, docker, kubernetes, cloud infrastructure, data modeling, bioinformatics, grpc

Summary: Candidates must have significant knowledge of the crypto industry and at least 4 years of hands-on experience with data modeling, schema design, and data warehousing. Proficiency in programming langua

Skills: data architecture, data engineering, data modeling, schema design, data operations, data warehousing, typescript, go, python, sql, postgresql, etl solutions, blockchain, devops, solana, microservices, automation

Summary: A BS or MS degree in Computer Engineering, Computer Science, or a related field is required, along with 5+ years of software and firmware security engineering experience. Strong comprehension of secur

Skills: system software security, root of trust, security firmware development, python, scripting, system programming, server architectures, security fundamentals, threat modeling, incident response, code audit, ci/cd, data center networking, linux security, application security, post-quantum cryptography

Summary: Candidates should have a bachelor's degree in Computer Science or a related field and at least 5 years of experience in building and maintaining data-intensive applications. Proficiency in modern data

Skills: data engineering, data pipelines, data modeling, python, java, scala, sql, spark, airflow, cloud platforms, databricks, data visualization, collaboration, automation, mentoring, troubleshooting

Summary: Candidates should have 3+ years of experience as a full-stack engineer with strong Python expertise and hands-on experience in building data pipelines. Proficiency with data orchestration frameworks,

Skills: python, data pipelines, data processing, etl, elt, cloud platforms, docker, kubernetes, data modeling, api development, data optimization, machine learning, observability, opensearch, stream processing, real-time data systems

Summary: Bachelor's degree in Computer Science, Engineering, or a related field is required along with 8 years of experience, including 2 years as a Sales Engineer or data integration specialist in the SaaS in

Skills: sales engineering, data integration, saas, azure, data mapping, apis, data pipelines, python, sql, problem-solving, communication, teamwork, agile environment, technical expertise, customer collaboration, product development

Summary: A degree in STEM and a minimum of 2 years of relevant experience is required. Experience in manufacturing or mechanical design and proficiency in 3D modeling software is preferred.

Skills: manufacturing, mechanical design, 3d modeling, autocad, solidworks, proe, creo, technical drawing interpretation, geometric dimensioning, organizational skills, mechanical aptitude, lean principles, six sigma, microsoft office

Summary: A bachelor's degree in a relevant field is required, along with experience in Data Engineering using various tools and languages. Strong numerical and analytical skills are essential for this role.

Skills: data engineering, dbt, spark, python, aws athena, presto, aws quicksight, sql, numerical skills, analytical skills, etl, business intelligence, ai, ml, data pipelines, automation

Summary: A bachelor's degree in a relevant field is required along with experience in Data Engineering using tools like DBT, Spark, and AWS. Strong skills in SQL and Python, as well as great numerical and anal

Skills: data engineering, dbt, spark, python, aws athena, presto, aws quicksight, sql, etl, business intelligence, ai, ml, numerical skills, analytical skills

Summary: Candidates should have experience in Data Engineering with tools like DBT, Spark, and Python. A bachelor's degree in a related field and strong numerical and analytical skills are also required.

Skills: data engineering, dbt, spark, python, aws athena, presto, aws quicksight, sql, numerical skills, analytical skills

Summary: A bachelor's degree in a relevant field is required along with experience in data engineering tools and languages such as DBT, Spark, and Python. Strong numerical and analytical skills are essential f

Skills: data engineering, dbt, spark, python, aws athena, presto, aws quicksight, sql, numerical skills, analytical skills, etl, business intelligence, ai, ml, data pipelines, automation

Summary: Candidates should have at least 10 years of professional software engineering experience, with 5 years leading other software engineers. Expertise in data architecture, ELT development, and proficienc

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, soc, hitrust

Summary: Candidates should have at least 10 years of professional software engineering experience, with 5 years leading other engineers and expertise in data architecture and business intelligence systems. Pro

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

Summary: Candidates should have a bachelor's degree in a related field and at least 5 years of experience in engineering roles, with a minimum of 3 years in data engineering. Proficiency in SQL, experience wit

Skills: data engineering, data architecture, sql, cloud data warehouse, dbt, python, aws, gcp, business intelligence, metabase, data security, troubleshooting, agile, stakeholder management, cross-functional teams, data modeling

Summary: Candidates should have a minimum of 6 years of software development experience, with strong proficiency in Java and experience in React or React Native. Familiarity with AWS and microservice architect

Skills: java, react, react native, typescript, machine learning, apis, distributed systems, aws, spring boot, microservices, restful apis, message queues, ci/cd, observability, infrastructure as code, big data

Summary: Candidates should have a bachelor's degree in Computer Science or a related field and at least one year of experience in a relevant role. Proficiency in Python, SQL, and data modelling techniques is e

Skills: data engineering, python, sql, data modelling, bigquery, dbt, ai, llm systems, workflow orchestration, aws, gcp, linux, restful apis, react, typescript, kotlin

Summary: Candidates should have at least 2 years of people management experience and a strong background in systems engineering related to database architecture or compilers. A degree in Computer Science or a

Skills: people management, product development, database architecture, compute engines, compilers, c, c++, rust, java, communication skills, startup experience, agility, analytical database tooling, sql, query optimizers

Summary: B.S. or M.S. in Computer Science or similar field and 5+ years of software engineering experience required. Proficiency in distributed micro-services development and experience with databases and data

Skills: python, java, aws, terraform, kubernetes, agile, data pipelines, big data, sql, nosql, olap, microservices, data architecture, collaboration, mentoring, analytical skills

Summary: Candidates should have 5+ years of experience in data engineering and strong SQL skills. They must demonstrate the ability to work autonomously and have hands-on experience managing cloud data warehou

Skills: data engineering, sql, data pipelines, data modeling, cloud data warehouses, postgres, airbyte, dbt, tableau, data governance, analytics, business intelligence, etl, data quality, cross-functional collaboration, mentorship

Summary: Candidates should have over 5 years of industry experience in software engineering and at least 2 years of experience managing engineering teams. Proven experience in designing and operating scalable

Skills: software engineering, team management, api design, scalability, problem solving, communication, technical leadership, architectural decisions, mentoring, collaboration, advertising technology, programming languages, rate limiting, security, developer experience, public-facing apis

Summary: Candidates should have 5+ years of software engineering experience and leadership experience working across multiple teams. Knowledge of full stack product development practices and experience with ad

Skills: leadership, software engineering, product development, collaboration, fullstack development, ad functionality, user experience, generative ai, typescript, go, python, react, kubernetes, docker, postgres, cassandra

Summary: Candidates should have a Bachelor's or Master's degree in a related technical discipline and a minimum of 3 years of software development experience on secure, cloud-based platforms. Strong programmin

Skills: data engineering, etl pipelines, data integration, python, pyspark, spark, hive, hadoop, cloud-based solutions, problem-solving, mentoring, collaboration, documentation, continuous improvement, data analysis, testing

Summary: Candidates should have a Bachelor's or Master's degree in a related technical discipline and at least 7 years of professional experience in software development, preferably in cloud-based environments

Skills: data engineering, cloud-based solutions, python, java, apache spark, hadoop, data governance, distributed systems, project management, technical leadership, problem solving, mentoring, collaboration, software development, data architecture, analytics technologies

Summary: 15+ years of experience in data engineering and analytics platforms, including 7+ years in senior leadership roles. Expertise in cloud data warehouses and experience supporting AI/ML teams through adv

Skills: data engineering, enterprise integrations, analytics platforms, technical leadership, architecture design, pipeline development, sales systems, marketing systems, finance systems, ai/ml support, cloud data warehouses, orchestration tools, integration platforms, real-time pipelines, sql, python

Summary: Candidates should have at least 2 years of people management experience and a deep understanding of systems engineering and database architecture. A degree in Computer Science or equivalent experience

Skills: software engineering, people management, technical leadership, database internals, system design, code reviews, architecture decisions, c, c++, rust, java, communication skills, remote team management, project execution, analytical database tooling, sql, query optimizers

Summary: Candidates must have a bachelor's degree in a related field and at least 7 years of experience in data engineering and ETL development. Supervisory experience and familiarity with cloud environments a

Skills: data engineering, etl development, data warehousing, data visualization, sql, java, xml, cloud computing, aws, azure, talend, ssis, snowflake, business intelligence, data analytics, metadata management, database security

Summary: 15+ years of experience in data engineering and analytics platforms, with 7+ years in senior leadership roles. Proven ability to manage global teams and deliver scalable solutions in high-growth envir

Skills: data engineering, enterprise integrations, analytics platforms, sales tech stacks, marketing tech stacks, finance systems, ai/ml support, data infrastructure, cloud data warehouses, orchestration tools, integration platforms, data ingestion, sql, python, cloud platforms, data modeling

Summary: Candidates must have a Bachelor’s or Master’s degree in a relevant field and at least 5 years of experience in data modeling and analytics. An active security clearance and US citizenship are required

Skills: data mining, analytics, cyber security, data modeling, programming, sql, aws, databricks, jupyter, visualization, cloud computing, data analysis, machine learning, interpersonal skills, training, performance monitoring

Summary: Candidates should have over 7 years of software engineering experience, including at least 1 year in a management role. Strong back-end development skills and experience with consumer-scale products a

Skills: software engineering, leadership, back end development, system architecture, product launch, code quality, testing, cross-team communication, collaboration, consumer scale products, loan lifecycle knowledge, mentoring, reliability, performance, collections processes, user experience

Summary: Proven experience leading engineering teams in CI/CD and build systems is required. A strong background in modern automation tools and familiarity with cloud-native environments is essential.

Skills: leadership, continuous integration, build systems, developer productivity, automation tools, cloud-native environments, infrastructure-as-code, programming, problem-solving, communication, mentoring, technical decision-making

Summary: Proven experience leading engineering teams in CI/CD and build systems is essential. A strong background in modern automation tools and cloud-native environments is also required.

Skills: continuous integration, build systems, developer productivity, automation tools, cloud-native environments, infrastructure-as-code, python, kotlin, java, problem-solving, communication, leadership, mentoring, technical decision-making, monitoring, incident response

Summary: Candidates should have 4+ years of professional experience as a data engineer, with expertise in SQL and dbt. Familiarity with workflow orchestration tools like Airflow and strong problem-solving skil

Skills: sql, dbt, workflow orchestration tools, airflow, data quality, data pipelines, analytics, collaboration, problem-solving, ai, automation, communication, etl, data models, data documentation, metrics design

Summary: Candidates should have a bachelor's degree in a quantitative or technical field and 4-6 years of experience in data engineering or related fields. Strong knowledge of data pipeline development, ETL/EL

Skills: data engineering, data pipelines, etl, sql, informatica, snowflake, data modeling, real-time processing, batch processing, data quality, data governance, cloud-based platforms, devsecops, problem-solving, analytical skills, communication skills

Summary: Candidates should have proven experience leading distributed engineering teams and strong technical expertise in scalable systems. A bachelor's degree in a relevant field and at least 10 years of indu

Skills: leadership, collaboration, distributed systems, data streaming, saas, linux, cloud, technical support, customer-centric, hiring, mentoring, engineering practices, problem-solving, innovation, project management, architecture

Summary: Proven experience in building microservices and managing cloud infrastructure is required. A Bachelor's or Master's degree in Computer Science or a related field is preferred.

Skills: backend services, microservices, cloud infrastructure, python, go, typescript, gcp, aws, azure, restful apis, grpc, database design, security, scalability, problem-solving, communication

Summary: 10-15+ years of experience in large-scale, distributed, cloud-native platforms is required. Proficiency in programming languages and modern cloud architecture is essential.

Skills: backend services, microservices, cloud infrastructure, python, go, typescript, cloud architecture, containerization, iac, api design, event-driven systems, problem-solving, communication skills, technical alignment, ml ops

Summary: Candidates should have a Bachelor's or Master's degree in Computer Science or equivalent experience, along with 5+ years of professional software engineering experience. Strong proficiency in Python a

Skills: python, java, aws, terraform, kubernetes, data pipelines, distributed systems, microservices, sql, nosql, olap, data lake architectures, agile, mentorship, problem-solving, analytical skills

Summary: Candidates should have demonstrated experience building complex Angular applications and strong knowledge of reactive programming. Familiarity with modern encryption concepts and a passion for open so

Skills: angular, reactive programming, rxjs, front-end state management, tailwind css, problem-solving, collaboration, adaptability, communication, encryption, open source, user experience

Summary: Candidates should have a bachelor's degree in Computer Science, MIS, or a related field, or equivalent work experience, along with a minimum of four years of experience with ETL, BI, and database solu

Skills: data visualization, analytics, etl, bi solutions, sql, power bi, ssis, devops, ci/cd, analytic skills, problem-solving, dashboard creation, report generation, collaboration, automation, process improvement

Summary: A bachelor's degree in a quantitatively rigorous discipline is preferred, along with 1-3 years of relevant experience in data science or consulting. Candidates should have a high level of comfort with

Skills: data science, machine learning, sql, python, problem solving, communication, analytical skills, a/b testing, data analysis, customer insights, operational efficiency, user acquisition, partnership growth, statistical analysis, technical skills, soft skills

Summary: A bachelor's degree in a quantitatively rigorous discipline is preferred, along with 1-3 years of relevant experience in data science or management consulting. Candidates should be comfortable with SQ

Skills: data science, machine learning, sql, python, data analysis, a/b testing, problem solving, communication, customer insights, operational efficiency, statistical analysis, business strategy, user acquisition, partnership growth, automation, technical skills

Summary: A bachelor's degree in a quantitatively rigorous discipline is preferred, along with 1-3 years of relevant experience in data science or consulting. Candidates should be comfortable with SQL or Python

Skills: data science, machine learning, sql, python, problem solving, communication, analytical skills, a/b testing, data analysis, customer insights, operational efficiency, user acquisition, partnership growth, statistical analysis, technical skills, soft skills

Summary: Candidates must have a Bachelor’s degree with 5+ years of experience, a Master’s degree with 3+ years of experience, or a PhD in a quantitative field. Proficiency in Python and experience with Generat

Skills: artificial intelligence, machine learning, python, data analysis, generative ai, software development, fairness evaluations, ethical standards, compliance, cross-functional collaboration, communication skills, risk mitigation, transparency, accountability, healthcare, responsible ai

Summary: Candidates should have a Master's degree or higher in a quantitative field and at least 3 years of experience managing data scientists. A strong understanding of data science fundamentals and experien

Skills: data science, machine learning, statistical analysis, data preparation, root cause investigation, sql, pandas, r, airflow, bash, linux/unix, git, data governance, analytical frameworks, mentoring, collaboration

Summary: 8-10 years of professional software engineering experience, including technical leadership across squads or groups. Strong hands-on coding skills and familiarity with modern AI/ML tools and APIs.

Skills: ai engineering practices, devops, ci/cd, cloud infrastructure, node.js, kotlin, react, typescript, next.js, react native, ai/ml tools, code quality, system design, collaboration, mentorship, operational excellence

Summary: Candidates should have a Master's degree with 6+ years of experience or a Ph.D. with 3+ years in Data Science or related fields. Strong proficiency in Python, SQL, and ML libraries, along with experie

Skills: machine learning, ai, data science, python, sql, statistical analysis, time series forecasting, regression modeling, classification techniques, cloud platforms, data pipelines, model deployment, business acumen, communication, problem solving, collaboration

Summary: Candidates must have a Master’s or PhD in Mechanical Engineering and at least 5 years of professional experience. An advanced level of English and experience in Generative AI or teaching in the domain

Skills: mechanical engineering, quality assurance, ai training, content creation, task assessment, chat moderation, auditing, generative ai, prompt engineering, teaching, training, complex reasoning, feedback, editing, communication, remote work

Summary: Candidates must have a Master’s or PhD in Mechanical Engineering and at least 5 years of professional experience. An advanced level of English and experience in Generative AI or teaching in the domain

Skills: mechanical engineering, quality assurance, generative ai, prompt engineering, teaching, training, content creation, chat moderation, auditing work, task assessment, english proficiency, complex reasoning, feedback provision, remote work, adaptability, learning

Summary: Candidates should have a strong background in data science and experience in developing predictive models. A focus on customer experience and business outcomes is essential.

Skills: data science, customer experience, revenue growth, churn reduction, ltv forecasting, dollars-at-risk scoring, collaboration, communication, accountability, problem solving, curiosity, model development, performance analysis, statistical analysis, machine learning, data analysis

Summary: Requires a Bachelor's degree and 5+ years of related experience. Certifications in IT Security and cloud platforms are preferred.

Skills: application security, devops, security standards, automation, mentoring, collaboration, performance reviews, technical guidance, coaching, conflict management, negotiation, presentation skills, budgeting, research, stakeholder engagement, security testing

Summary: You should have experience managing engineering teams and conducting performance reviews while fostering a culture of accountability. Additionally, experience with compliance programs and vulnerabilit

Skills: cybersecurity, team management, vendor management, compliance programs, vulnerability management, incident response, performance reviews, cross-functional collaboration, risk management, technical project management, communication, recruitment, resource allocation, kpi tracking, root cause analysis, process improvement

Summary: Proven experience as a leader in software engineering with expertise in SDLC and agile methodologies is essential. A strong technical background in messaging services and SaaS platforms is preferred.

Skills: leadership, software engineering, agile methodologies, cloud-based applications, microsoft azure, devops, continuous integration, saas platforms, messaging services, team development, project management, quality assurance, strategic planning, communication, interpersonal skills, technical oversight

Summary: A 2:1 or above degree in a relevant engineering discipline is required, along with strong people management experience. Candidates should possess creativity, problem-solving skills, and a passion for

Skills: production engineering, team leadership, continuous improvement, problem solving, quality inspection, manufacturability, collaboration, creativity, attention to detail, human factors, high-tech products, objective setting, feedback, communication, accountability, motivation

Summary: Proven experience in software engineering leadership with a strong track record in managing effective teams is essential. A strong technical background in cloud-based applications, particularly on Mic

Skills: leadership, software engineering, agile methodologies, cloud-based applications, microsoft azure, devops, continuous integration, continuous delivery, team development, project management, quality assurance, messaging services, saas platforms, strategic planning, communication, interpersonal skills

Summary: 8+ years of hands-on security engineering experience, particularly in cloud-native environments, with 3+ years in people management. Proven track record in developing technical security roadmaps and l

Skills: cloud security expertise, infrastructure as code, ci/cd & devsecops, container & orchestration security, scripting & automation, core security domains

Summary: A bachelor's degree in communications, engineering, IT, or a related field is preferred, along with a minimum of 5 years of progressive experience in television broadcast engineering or operations. Ca

Skills: broadcast systems, it systems, technical operations, leadership, budget management, regulatory compliance, disaster recovery, cybersecurity, collaboration, problem solving, communication, performance metrics, technical innovation, operational excellence, vendor management, emergency alert system

Summary: Demonstrated ability to lead a technical team and experience with bank core and lending systems are essential. Familiarity with Haskell and TypeScript is preferred, along with a strong individual engi

Skills: leadership, technical excellence, bank core integration, haskell, typescript, team coaching, project management, collaboration, system maintenance, onboarding, feedback, work environment, product development, predictable delivery, high-availability services

Summary: Candidates should have 2-4 years of professional experience in Data Engineering and Data Warehousing, with strong skills in Python and SQL. Experience with ETL/ELT processes, cloud infrastructure, and

Skills: data engineering, data warehousing, python, parquet, spark, azure databricks, sql, etl, elt, data modelling, bi visualization, ci/cd, cloud infrastructure, master data management, communication, collaboration

Summary: Active DHS CBP Public Trust Clearance or higher is required. Candidates should have 2-4 years of industry experience in Data Engineering and coding commercial software.

Skills: python, aws, hadoop, spark, kafka, postgres, cassandra, azkaban, luigi, airflow, ec2, emr, rds, redshift, storm, elasticsearch

Summary: Candidates should have strong experience in non-abstract systems design and implementation, with proficiency in Python and Golang, and in-depth experience with Kubernetes. A passion for reliability an

Skills: python, golang, kubernetes, observability, communication, reliability, operational excellence, software development best practices, incident management, documentation

Summary: Candidates should have a Bachelor's Degree in a relevant field and 5 to 10 years of experience in Software Engineering or Data Engineering. Knowledge of Databricks, Spark, and experience with AWS serv

Skills: data engineering, big data, data analysis, cloud computing, aws, databricks, python, spark, data pipelines, data wrangling, machine learning, software development, data modeling, data integration, agile, linux

Summary: Candidates must have a Bachelor's Degree in a relevant field and 5 to 10 years of experience in Software Engineering or Data Engineering. Knowledge of Databricks, Spark, and experience with AWS servic

Skills: data engineering, big data, aws, databricks, python, spark, data analysis, data pipelines, data wrangling, machine learning, software engineering, data modeling, agile, linux, data visualization, kafka

Summary: Candidates must have a BS degree in Computer Science or related field with 3+ years of experience, or a Master's degree with 2+ years of experience. Proficiency in Databricks, Python, Spark, and data

Skills: databricks, azure, data engineering, etl, ai technologies, python, spark, r, data governance, agile, ci/cd, infrastructure-as-code, data quality, data management, cost optimization, data analytics

Summary: Candidates must have at least 4 years of experience in Data Infrastructure and be proficient in Python and SQL query design. An operational mindset with skills in problem diagnosis, root cause analysi

Skills: data architecture, data engineering, python, sql, hive, spark, trino, data lakes, data pipelines, cost efficiency, incident management, problem diagnosis, root cause analysis, performance tuning, interpersonal skills, operational mindset

Summary: Candidates should have 8+ years of software engineering experience, including 2 years in a leadership role. Proficiency in Python, Go, or C++, and experience with large-scale distributed systems on cl

Skills: software engineering, technical leadership, data infrastructure, cloud services, distributed systems, data processing, etl/elt, networking principles, i/o optimization, system design, mentorship, communication skills, robotics, data transformation, containerization, orchestration technologies

Summary: 4+ years of experience as a Data Engineer with expertise in SQL and Python. Experience in building end-to-end data infrastructure and a strong focus on customer needs is essential.

Skills: data engineering, etl, elt, sql, python, data modeling, performance tuning, data warehousing, data pipelines, data infrastructure, monitoring, alerting, customer-facing metrics, privacy standards, event streaming, ci/cd

Summary: Proven experience as a leader in software engineering with expertise in SDLC and agile methodologies is essential. A strong technical background in messaging services and SaaS platforms is preferred.

Skills: leadership, software development lifecycle, agile methodologies, cloud-based applications, microsoft azure, net, team development, project management, devops, quality assurance, compliance, communication, strategic planning, continuous integration, saas platforms, messaging services

Summary: Candidates must have a BS/BA degree in a related field and at least 5 years of experience in writing production-level code, particularly in Python and SQL. Knowledge of sports betting and familiarity

Skills: python, sql, airflow, kubernetes, etl pipelines, rest apis, git, continuous integration, deployment, shell scripting, cloud computing, aws, web scraping, data cleaning, data science, machine learning

Summary: Candidates should have a bachelor's degree in a related field or equivalent experience, along with 3+ years of experience with Microsoft data and business intelligence solutions. Strong communication

Skills: azure data platform, power bi, data engineering, data analytics, data pipelines, ai-driven solutions, client relationship skills, problem solving, microsoft azure, synapse, data factory, databricks, data lake, data warehouse, itil, documentation

Summary: The role requires 5+ years of experience with Microsoft’s Azure data stack and experience in a dynamic startup environment. Candidates should be comfortable translating ambiguous data needs into actio

Skills: azure data factory, azure synapse analytics, microsoft power bi, etl pipelines, data warehousing, python, data modeling, data aggregation, data analysis, agile practices, collaboration, troubleshooting, documentation, software development, data pipelines, stakeholder interaction

Summary: Candidates should have 3+ years of experience building scalable data pipelines in a cloud-native environment and 2+ years of experience using dbt, Flink, or Spark for data transformations. Advanced pr

Skills: data pipelines, cloud-native environment, aws, gcp, azure, dbt, flink, spark, python, sql, apache kafka, apache flink, gcp datastream, aws kinesis, ci/cd pipelines, infrastructure-as-code, data quality

Summary: Candidates should have over 3 years of experience with SQL, Python, and dbt for data processing and modeling. Familiarity with data orchestration tools and strong communication skills are also require

Skills: sql, python, dbt, airbyte, dagster, data quality, agile, communication, bi tools, reverse etl, data governance, aws, machine learning, infrastructure-as-code, containerization

Summary: Candidates must have an active DoD Secret clearance and a Bachelor's degree in a relevant field. They should also have over 8 years of experience in data engineering and familiarity with cloud data te

Skills: data mining, statistical analysis, hypothesis testing, segmentation, modeling, predictive models, data technologies, google cloud, aws, microsoft azure, ms products, data engineering, data science, big data, data visualization, client communication

Summary: An advanced degree in a related field and 7+ years of experience in data science or machine learning are required. Candidates should have a deep understanding of machine learning algorithms and experi

Skills: data science, machine learning, ai, python, data visualization, statistical methods, model deployment, cloud data warehouses, mlops, kubernetes, tensorflow, pytorch, continuous improvement, mentoring, collaboration, communication

Summary: Candidates should have a bachelor's degree in a relevant field and extensive experience in applied machine learning, with at least 2 years in a leadership role. Strong coding skills in Python and expe

Skills: computer vision, machine learning, 3d deep learning, team management, python, mlops, data management, model evaluation, generative ai, cross-functional collaboration, mentorship, research, product development, 3d data processing, deep learning frameworks, innovation

Summary: Candidates should have over 10 years of engineering experience, including leadership roles in media or entertainment, with proven success in delivering complex applications. Strong expertise in applic

Skills: engineering leadership, application development, data systems, system architecture, technical strategy, collaboration, mentorship, innovation, operational efficiency, communication, cross-functional teams, remote work, software development practices, media industry knowledge, data-driven initiatives, team scaling

Summary: Requires 2+ years of experience leading engineering teams and 5+ years of professional engineering experience. A computer science degree or equivalent experience is preferred, along with strong proble

Skills: engineering management, data processing, sql, pyspark, technical direction, collaboration, problem solving, decision making, mentoring, automation, software development, scalable solutions, client implementations, architecture, workflow orchestration, partner engagement

Summary: You should have at least three years of experience leading software development teams and a strong technical background in web application development. Experience with modern front-end technologies an

Skills: team management, software development, agile, javascript, html, css, react, nextjs, java, c#, php, node, restful apis, oop, cloud platforms, communication, leadership

Summary: 3-4+ years of leadership experience in a Solution Engineering team is required, along with 2-3+ years as a Solution Engineer. Familiarity with PropTech solutions and strong communication skills are al

Skills: leadership experience, proptech familiarity, enterprise expertise, people leadership, executive presence, strategic mindset, hands-on approach, collaborative, communication, adaptability, domain tools knowledge, language skills

Summary: A degree in Engineering, Computer Science, or a related field is required. Candidates should have at least 1 year of experience in Python and data engineering projects.

Skills: python, kubernetes, airflow, gitlab, etl processes, cloud infrastructures, docker, data engineering, sql, data modeling, tableau, monitoring systems, automation tools, storage technologies, software engineering patterns, data analytics

Summary: Candidates should have 3–5 years of experience in QA/Test Automation and strong proficiency in Python, specifically with pytest and unittest. Familiarity with ETL/data validation testing and CI/CD pip

Skills: python testing, etl validation, test automation, ci/cd, qa documentation

Summary: Candidates should be pursuing a degree in Software Engineering, Computer Engineering, or Computer Science with a cumulative GPA of 2.8 or above. Experience with programming languages such as C, C++, a

Skills: c++, qt, ci/cd, git, c, java, embedded systems, test driven development, operating systems, messaging protocols, real time considerations, engineering skills, learning new technologies

Summary: Candidates should have 10+ years of software engineering experience, including 5+ years in leadership roles. Deep hands-on experience with Rust and proven experience in machine learning model design a

Skills: rust, machine learning, neural networks, full stack development, software architecture, performance tuning, embedded systems, continuous integration, testing frameworks, collaboration, mentoring, recruitment, cloud technologies, kubernetes, aws, gcp

Summary: Candidates should have over 8 years of software engineering experience with a focus on data systems. Strong SQL skills and proficiency in Python are essential, along with experience in scaling product

Skills: software engineering, data systems, sql, python, mysql, mongodb, clickhouse, elasticsearch, data migration, event-driven architecture, data quality, technical leadership, communication skills, troubleshooting, data governance, cloud infrastructure

Summary: Candidates must have mastery in 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 re

Skills: java, python, ruby on rails, spring mvc, node.js, sql, git, html, css, javascript, angularjs, reactjs, linux, ci/cd, microservices, restful web services

Summary: A Bachelor's degree in Data Science or a closely related discipline is required, along with 5 years of experience. Candidates must have 2-4 years of experience with MS SQL Server and SSIS, as well as

Skills: big data, data engineering, data modeling, data tools, structured query language (sql), microsoft data stack, python, etl, cloud services, data warehousing, agile, hadoop, spark, kafka, relational databases, nosql databases

Summary: Candidates should have over 6 years of software engineering experience, with at least 3 years focused on data engineering. Expertise in Snowflake, DBT, and AWS is essential, along with strong system d

Skills: data engineering, analytics, snowflake, aws, airflow, dbt, python, sql, data systems, data pipelines, data quality, machine learning, collaboration, technical leadership, system design, performance optimization

Summary: Candidates should have a bachelor's degree in a related field and at least 2 years of experience in data engineering. Strong skills in Python and SQL, along with experience in data warehousing technol

Skills: python, sql, data warehousing, etl, elt, gcp, snowflake, dbt, data quality, data governance, ci/cd, collaboration, problem-solving, analytical skills, software engineering, infrastructure-as-code

Summary: Candidates should have 7+ years of hands-on data engineering experience and a graduate degree in a related field. Strong skills in SQL, data modeling, and proficiency in programming languages such as

Skills: data engineering, data pipelines, etl processes, data integration, sql, data modeling, python, golang, java, scala, apache spark, kafka, data governance, orchestration tools, cloud-based solutions, project management, communication

Summary: Bachelor’s degree in a related technical field and 5+ years of experience in data engineering or full-stack development are required. Strong SQL skills and proficiency in Python, Java, or Scala are es

Skills: data engineering, cloud architecture, genai, llm workflows, etl, elt, sql, python, java, scala, apache airflow, aws glue, aws, azure, gcp, data validation, leadership

Summary: Candidates should have 10+ years of experience in building and shipping production-grade data products, with strong proficiency in Python and Java. Experience in early-stage startup environments or hi

Skills: machine learning, data engineering, python, java, cloud platforms, data strategy, feature engineering, model production, stakeholder collaboration, technical leadership, analytical thinking, problem solving, data pipelines, apis, security best practices, mentorship

Summary: Candidates should have a bachelor's degree in a relevant field and at least 2 years of experience in data platforms. Proficiency in Python and cloud technologies is essential.

Skills: data pipelines, python, cloud technologies, aws, gcp, azure, software engineering practices, ci/cd, infrastructure as code, terraform, code review, documentation, testing principles, communication skills, automation, domain mastery

Summary: Candidates should have a Bachelor’s or Master’s degree in a quantitative field and 4 to 5+ years of related experience in data science. Advanced skills in Python, SQL, and ML model evaluation are esse

Skills: data science, machine learning, python, pandas, scikit-learn, pyspark, sql, nlp, mlops, prompt engineering, agentic ai, model deployment, recommendation systems, bias testing, cross-functional collaboration, agile project management

Summary: 5–7 years of experience in data science, applied machine learning, or advanced analytics is required. Strong skills in Python and SQL, with experience in developing forecasting, classification, or sco

Skills: data science, machine learning, python, sql, predictive modeling, data engineering, analytics, forecasting, classification, scoring models, communication skills, modern data workflows, snowflake, dbt, hex, streamlit

Summary: Candidates should possess 7+ years of experience in data science, machine learning, or related roles, with 4+ years of professional experience in Python and major AI/ML frameworks. A Bachelor's or Mas

Skills: data science, machine learning, ai engineering, python, large language models, generative ai, cloud-native ai services, nlp, computer vision, model development, data analysis, feature engineering, model training, testing, deployment, collaboration

Summary: A bachelor's degree in a relevant field is required, along with a basic understanding of statistical analysis and machine learning techniques. Familiarity with programming languages such as Python or

Skills: data analysis, machine learning, data visualization, python, r, sql, statistical analysis, problem-solving, communication, collaboration, creativity, attention to detail

Summary: 7+ years of experience deploying and managing network infrastructure is required. Candidates should have experience with network protocols and programming in scripting languages.

Skills: network reliability, cloud networks, network protocols, network monitoring, automation, root cause analysis, incident resolution, performance metrics, scripting, telemetry, bgp, mpls, vxlan, evpn, aws, gcp

Summary: Candidates must have a Bachelor's degree in a relevant field and at least 3 years of experience in construction management or related roles. Experience in project management from design through implem

Skills: construction management, project management, contract administration, engineering, planning, operations, budget management, stakeholder coordination, permitting, utility integration, design review, automated systems, electrical principles, blueprint reading, preventive maintenance, continuous improvement

Summary: Candidates must have a Bachelor's degree in a relevant field and at least 3 years of experience in construction management or related roles. Experience in project management from design through implem

Skills: construction management, project management, contract administration, engineering, planning, operations, budget management, stakeholder coordination, permitting, utility integration, schedule auditing, continuous improvement, design review, automated systems, blueprint reading, preventive maintenance

Summary: Candidates must have a Bachelor's degree in a relevant field and at least 3 years of experience in construction management or related roles. Experience with complex logistical facilities and project m

Skills: construction management, project management, contract administration, engineering, planning, operations, budget management, stakeholder coordination, permitting, utility integration, schedule auditing, continuous improvement, design review, automated systems, blueprint reading, preventive maintenance

Summary: Candidates must have a bachelor's degree or equivalent work experience, with at least 4 years in data engineering/IT/project management, including 2 years in a management role. Hands-on experience in

Skills: it architecture, agile environment, software development, project management, data engineering, team leadership, stakeholder management, hipaa compliance, conflict resolution, communication skills, critical thinking, attention to detail, data interpretation, curiosity, resilience, ethical standards

Summary: Bachelor's degree and at least 4 years of experience in software engineering are required. Candidates should have experience with cloud computing and programming languages such as Java, Python, C++, R

Skills: software engineering, data security, cloud computing, java, python, c++, rust, go, sql, rdbms, nosql, docker, kubernetes, data governance, ai systems, agile practices

Summary: Candidates should have experience tackling projects with product and technical ambiguity and be comfortable working across the technology stack. Strong collaboration and communication skills are essen

Skills: full-stack engineering, product management, design, collaboration, communication, problem solving, typescript, react, graphql, node.js, postgres, redis, innovation, customer focus, agile methodologies, technical design

Summary: The ideal candidate should have hands-on experience with data governance and proficiency in Python and SQL. A strong sense of accountability for customer data privacy and the ability to translate gove

Skills: data governance, metadata frameworks, python, sql, relational schema design, access control, aws, data infrastructure, data quality, apis, automation, compliance, privacy, data catalog, data privacy, ai

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 essen

Skills: data engineering, etl pipelines, sql, python, aws, data modeling, schema design, data governance, automation, cloud platforms, mentoring, communication, problem solving, critical thinking, data analysis, data integrity

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, cloud infrastructure, data modeling, etl processes, sql, project management, leadership, communication, troubleshooting, problem solving, collaboration, mentoring, agile methodologies, automation, best practices

Summary: Candidates must have a bachelor's degree with at least 2 years of experience in data engineering and database management. Proficiency in SQL and experience with data pipelines and ETL tools are requir

Skills: data engineering, sql, database management, data pipelines, etl, cloud solutions, data warehousing, data quality, data security, agile methodologies, collaboration, problem-solving, automation, data architecture, infrastructure as code, scripting

Summary: Candidates should have a Master's or Ph.D. degree in a relevant field and a minimum of 8-10+ years of experience in the technology industry. Proven experience in drug discovery, data automation, and l

Skills: developer advocacy, technical expertise, commercial go-to-market experience, life science data platforms, high-performance computing, cloud, ai/ml, laboratory informatics, technical partnerships, problem solving, technical enablement, integration, collaboration, interpersonal skills, technical mentorship, community building

Summary: Candidates should have 3+ years of experience for the Data Engineer role or 8+ years for the Senior Data Engineer role in cloud-based data engineering. Proficiency in SQL and Python, along with knowle

Skills: data engineering, cloud-based solutions, bigquery, etl processes, sql, python, data modeling, data warehousing, agile frameworks, problem-solving, data quality, collaboration, technical guidance, data governance, workflow automation, scalability

Summary: Candidates should possess 4+ years of experience in cloud-based data engineering for Data Engineer and 7+ years for Senior Data Engineer, with strong skills in SQL, Python, and optionally Scala. A Bac

Skills: data engineering, ai, ml, cloud-based solutions, sql, python, scala, etl processes, data warehousing, big data architecture, agile frameworks, data modeling, infrastructure-as-code, data integrity, problem-solving, communication

Summary: Candidates should have 3+ years of experience with Google BigQuery for Data Engineer and 5+ additional years for Senior Data Engineer. Proficiency in SQL, Python, and experience with cloud-native serv

Skills: data engineering, gcp, bigquery, etl, sql, python, terraform, kubernetes, looker, data modeling, cloud services, ci/cd, version control, data lake, automation, problem solving

Summary: Candidates should have a bachelor's degree and over 5 years of experience in data analytics or engineering, preferably in a SaaS environment. Proficiency in SQL and experience with Databricks and Pyth

Skills: data engineering, sql, python, databricks, snowflake, data modeling, documentation, version control, excel, google sheets, data visualization, looker, strategic thinking, project management, automation, agile

Summary: 3+ years of professional experience as a Data Engineer in cloud environments is required. Strong experience with AWS services and big data architectures is essential.

Skills: data engineering, aws, python, apache spark, kinesis, airflow, terraform, data governance, ci/cd, data pipelines, big data, real-time data streaming, containerization, infrastructure as code, monitoring, collaboration

Summary: Candidates should have 3-6 years of professional software engineering experience with a strong portfolio in full stack development. Proficiency in Python and cloud experience, particularly with AWS, a

Skills: python, full stack development, aws, restful apis, sql server, snowflake, mongodb, debugging, issue resolution, troubleshooting, ux design tools, containerization, infrastructure as code, cicd tools, financial systems, credit modeling

Summary: Candidates should have 7+ years of experience in Data Science/Analytics and strong proficiency in data manipulation and visualization tools. A bachelor's or advanced degree in a quantitative disciplin

Skills: data science, analytics, stakeholder management, communication, problem solving, data manipulation, sql, python, data visualization, tableau, a/b testing, causal inference, machine learning, quantitative analysis, experimentation, leadership

Summary: Candidates should have 6+ years of experience in data science or machine learning, with expertise in time-series data and deep learning frameworks. Proficiency in Python and SQL, along with a strong u

Skills: data science, machine learning, python, sql, deep learning, aws, signal processing, causal inference, experimental design, time-series data, algorithm development, mentoring, data wrangling, model deployment, embedded systems, biomechanics

Summary: Candidates should have 6+ years of experience in data science or machine learning, with expertise in time-series data and deep learning frameworks. Proficiency in Python and SQL, along with a strong u

Skills: data science, machine learning, python, sql, deep learning, aws, time-series data, signal processing, causal inference, algorithm development, mentoring, data wrangling, experimental design, mlops, embedded systems, biomechanics

Summary: Candidates should have 6+ years of experience in data science or machine learning, with expertise in time-series data and proficiency in Python and SQL. Familiarity with deep learning frameworks and c

Skills: data science, machine learning, python, sql, deep learning, aws, time-series data, signal processing, causal inference, experimental design, mentoring, algorithm development, mlops, wearable technology, biometrics, kinesiology

Summary: Candidates should have strong experience in product analytics or a similar data-focused role, with expertise in translating complex data into actionable insights. A degree in a related analytical fiel

Skills: product analytics, data analysis, sql, a/b testing, machine learning, statistical analysis, r, python, sas, cohort analysis, time series analysis, funnel analysis, data-driven decision making, communication skills, exploratory analysis, product strategy

Summary: A Bachelor’s degree in Engineering or related field with 12 years of experience is required, or an advanced degree with 10 years of experience. Candidates must have extensive knowledge of building inf

Skills: facilities management, engineering, capital planning, infrastructure assessment, project management, team leadership, strategic planning, asset management, building systems, sustainability, safety compliance, technical specifications, collaboration, data analysis, training, change management

Summary: Candidates should have over 10 years of software development experience, with at least 8 years in a leadership role. Strong problem-solving skills and exceptional leadership abilities are essential.

Skills: software development, leadership, project management, agile, devops, cloud platforms, c#, typescript, react, node.js, golang, architecture, design, process improvement, team building, innovation

Summary: 10+ years of engineering experience with a strong technical background in managing systems and infrastructure is required. Candidates should have 5+ years in a managerial role with in-depth knowledge

Skills: devops, cloud infrastructure, automation, incident management, team leadership, cybersecurity, infrastructure as code, microsoft azure, aws, docker, kubernetes, powershell, python, ansible, terraform, cloudformation

Summary: Candidates must have a Bachelor's Degree in Computer Science or equivalent experience, with over 8 years in software engineering and at least 2 years managing engineers. Proficiency in Python and Java

Skills: software engineering, team leadership, technical excellence, collaboration, continuous learning, ci/cd pipelines, testing frameworks, automation tools, ai tools, project management, technical design, operational efficiency, scalable systems, python, javascript, container orchestration

Summary: Candidates should have 10+ years of engineering experience and 5+ years in a managerial role managing cloud infrastructure. In-depth knowledge of cloud platforms and hands-on DevOps experience are ess

Skills: devops, cloud infrastructure, automation, incident management, security best practices, performance monitoring, infrastructure as code, microsoft azure, aws, docker, kubernetes, powershell, python, ansible, team leadership, mentoring

Summary: Proven success in managing engineering teams, ideally in container technologies or cloud infrastructure, with a passion for team leadership. Experience in building and scaling distributed systems and

Skills: team leadership, project management, container technologies, cloud infrastructure, distributed systems, automation, communication, stakeholder management, mentoring, coaching, technical vision, operational rigor, cross-team collaboration, organizational skills, customer success, escalation management

Summary: Candidates should have proven experience with data protection technologies and managing data protection programs. A strong understanding of cybersecurity laws and regulations, along with relevant cert

Skills: data protection, cybersecurity, risk assessment, data encryption, data classification, data handling, data access controls, data inventory, data retention, incident response, data privacy laws, programming languages, cloud services, data loss prevention, data security policies, analytical skills, communication skills

Summary: 5+ years of professional experience in data engineering, ideally in the insurance or financial services sector. Proficiency in Python, SQL, and Spark, with hands-on experience in Databricks and AWS da

Skills: python, sql, spark, databricks, unity catalog, delta lake, dlt pipelines, data governance, data quality, aws, github, ci/cd, mentoring, problem-solving, cloud services, data architecture

Summary: Candidates should have over 5 years of experience in building and maintaining ETL pipelines and a strong background in SQL and Python. A bachelor's degree in a relevant field is required.

Skills: data engineering, etl pipelines, sql development, python development, data transformation, data access patterns, data modelling, data serialization, json-based storage, communication skills, monitoring strategies, incident response, data optimization, machine learning, data frameworks, data tools

Summary: Candidates must possess a BS degree in Computer Science or related field with 3+ years of experience, or a Master's degree with 2+ years of experience. Proficiency in Python, Spark, and R is essential

Skills: databricks, data engineering, azure, etl, ai technologies, python, spark, r, data governance, agile, ci/cd, infrastructure-as-code, data quality, data management, cost optimization, data analytics

Summary: Candidates should have 1 to 4 years of experience in data engineering or analytics engineering, with strong SQL and Python skills. Familiarity with cloud data warehouses and tools like dbt is essentia

Skills: data engineering, sql, python, cloud data warehouses, dbt, airflow, data modeling, healthcare data, git, looker, data pipelines, data integrity, data transformation, collaboration, problem solving, communication

Summary: Candidates must have 7+ years of experience in Java development with a focus on AWS, ETL, and database development. A bachelor's degree in Computer Science or a related field is required, along with s

Skills: java, aws, etl, database development, sql, python, data pipelines, data quality, agile, problem solving, collaboration, data warehousing, data modeling, data governance, devops, cloud computing

Summary: B.S. degree in Computer Science or a related technical field and 5+ years of experience as a Software Engineer or Data Engineer. Proficiency in programming languages and hands-on experience with big d

Skills: software engineering, data engineering, distributed systems, big data technologies, sql, data tooling, ci/cd, containerization, cloud infrastructure, python, java, scala, testing, debugging, performance optimization, data processing, data storage

Summary: Candidates should have over 10 years of experience in consumer product design engineering, preferably with wearables. A strong technical foundation in materials, mechanical design, and manufacturing p

Skills: product design, engineering leadership, user experience, manufacturability, mechanical engineering, 3d modeling, collaboration, project management, materials selection, risk management, innovation, wearable technology, communication, strategic thinking, design for assembly, design for manufacturability

Summary: A bachelor's degree in a relevant field and a minimum of 8 years of experience are required. The ideal candidate should have deep expertise in Python, experience in technical leadership, and familiari

Skills: software development, leadership, python, rust, systems engineering, linux, containerization, virtualization, embedded systems, communication, devops, agile, scrum, quantum computing, database management, technical roadmap

Summary: Candidates must have a bachelor's degree in a relevant field and at least 8 years of experience, with a strong background in software engineering and leadership in a deep-tech startup environment. Exp

Skills: software development, leadership, python, rust, systems engineering, linux, containerization, virtualization, embedded systems, communication, devops, agile, scrum, quantum computing, database management, optimization

Summary: Candidates should have significant expertise in software engineering and experience explaining complex concepts clearly. Familiarity with LLMs and related technologies is essential, along with a passi

Skills: software engineering, machine learning, llms, prompt engineering, agentic ai, coding with llms, integrating with llms, customising llm tools, technical mentoring, clear explanations, real-world experience, teaching experience, communication skills, problem solving, enthusiasm, rapport building

Summary: Candidates should have experience explaining machine learning concepts and knowledge of LLM internals. Significant real-world expertise and teaching or mentoring experience are essential.

Skills: machine learning, llm internals, prompt engineering, agentic ai, coding with llms, integrating with llms, customising llm tools, technical mentoring

Summary: Candidates should have experience explaining machine learning concepts and knowledge of LLM internals. Significant real-world experience and the ability to teach and mentor engineers are essential.

Skills: machine learning, llm internals, prompt engineering, agentic ai, coding with llms, integrating with llms, customising llm tools, technical mentoring, teaching, clear explanations, real-world experience, communication skills, rapport building, enthusiasm, professionalism

Summary: Candidates should have significant expertise in software engineering and experience explaining complex concepts clearly. Familiarity with LLMs and related technologies is essential, along with a passi

Skills: software engineering, machine learning, llm internals, prompt engineering, agentic ai, coding with llms, integrating with llms, customising llm tools, technical mentoring, clear explanations, real-world experience, teaching experience, communication skills, problem solving, enthusiasm, rapport building

Summary: Strong experience at the Engineering Director level and with building PaaS, SaaS, and/or data platforms is required. A blend of deep technical knowledge with a customer-focused mindset and strong comm

Skills: engineering director experience, paas, saas, data platforms, java, jvm languages, product vision, cross-functional partnerships, technical knowledge, customer-focused mindset, strategic thinking, continuous integration, continuous delivery, cloud environments, communication skills, collaboration skills

Summary: You should have a track record of delivering scalable service components and experience with Python. Familiarity with public cloud concepts, especially GCP, and a proactive mindset for continuous impr

Skills: python, api development, data pipelines, microservices, data dashboards, data models, etl pipelines, public cloud, gcp, bigquery, bigtable, pub/sub, infrastructure as code, containerization, data governance, testing practices

Summary: Candidates must have experience in risk engineering and implementing risk policies in production services. A minimum of 6 years of software development experience and 5 years of hands-on Java experien

Skills: risk engineering, rules engine architecture, java, spring boot, aws, rest apis, machine learning, fraud detection, service-oriented architecture, ci/cd, observability, monitoring tools, infrastructure as code, big data, mentoring, cross-functional collaboration

Summary: Candidates should have 8+ years of experience in software engineering or contact center technology, with at least 3 years in a leadership role. A strong understanding of telephony systems and cloud pl

Skills: contact center engineering, cpaas, telephony systems, crm integrations, cloud platforms, microservices architecture, leadership, collaboration, performance optimization, compliance, security, team building, technology evaluation, customer engagement, ai-powered interactions, integration leadership

Summary: Candidates should have 8+ years in software engineering or data science, with 3+ years in Gen AI or LLM-based systems. Strong programming skills and experience with cloud platforms are essential.

Skills: software engineering, data science, gen ai, llm-based systems, typescript, python, rest api development, containerization, cloud platforms, ai governance, model safety, prompt engineering, team leadership, collaboration, problem-solving

Summary: Strong SQL skills on multiple platforms and some scripting language experience, preferably Python, are required. Candidates should have strong data engineering experience and familiarity with analytic

Skills: sql, mssql, mysql, postgres, spark, python, data engineering, power bi, tableau, qlik, power platform, data warehousing, azure, databricks, snowflake

Summary: Candidates should have a degree in a quantitative field and over 5 years of experience in data science or analytics. A strong understanding of machine learning methods and experience with large datase

Skills: data analysis, machine learning, python, pyspark, sql, aws, azure, databricks, data storytelling, communication, identity verification, fraud prevention, dashboarding, interactive presentations, thought leadership, model building

Summary: A Master's degree in a quantitative discipline with two years of experience, or a Bachelor's degree with five years of experience is required. Special skills in various programming languages and data

Skills: python, sql, spark, scikit-learn, causal inference, natural language processing, tensorflow, pytorch, a/b test, data visualization

Summary: Candidates should have a strong engineering background and a proven ability to lead and motivate teams. A passion for growth, innovation, and ownership is essential, with nice-to-have experience in ma

Skills: engineering background, full-stack development, team leadership, motivation, growth, innovation, ownership

Summary: Candidates should have 10+ years of experience in enterprise software development, with at least 5 years in Salesforce engineering leadership roles. A bachelor's degree in a related field and Salesfor

Skills: salesforce engineering, team leadership, technical strategy, project management, governance, optimization, technical expertise, problem solving, innovation, platform optimization, global program leadership, strategic partnership, salesforce development, apex, lwc, visualforce

Summary: Candidates should have over 10 years of experience in a post-sales customer-facing role and at least 5 years of leadership experience. Proficiency in REST APIs and experience in delivering customer en

Skills: leadership, collaboration, technical excellence, coaching, customer success, rest apis, saas integration, project management, technical troubleshooting, professional services, customer enablement, complex environments, service models, metrics, kpi, continuous development

Summary: Candidates should have 8+ years of software development experience with at least 2 years in engineering management. A strong technical background and experience managing remote teams across multiple t

Skills: engineering management, full stack development, python development, salesforce, quality assurance, agile methodologies, cloud architecture, aws, ci/cd, devops, project management, team leadership, performance evaluation, conflict resolution, resource planning, budget management

Summary: Candidates should have at least 3 years of relevant experience in the data field and a completed HBO degree. Strong knowledge of SQL, experience with data pipelines in Python, and familiarity with clo

Skills: data engineering, sql, python, data pipelines, data orchestration, aws, cloud platforms, data modeling, docker, ci/cd, terraform, kafka, analytical skills, communication skills, data quality, performance

Summary: Candidates should have 7+ years of engineering experience and hands-on experience operating Kubernetes. A Bachelor’s degree in Computer Science or a related field is preferred, along with experience i

Skills: kubernetes, ci/cd, linux, containerization, production systems, devops, mentoring, software design, system architecture, cluster api, go, platform engineering

Summary: A B.Sc. in Computer Science or related field is preferred, with 2-4 years of experience in data or software engineering. Solid programming skills in Python, Java, or Scala are required, along with han

Skills: data engineering, data pipelines, python, java, scala, etl, elt, schema management, data modeling, streaming, batch frameworks, ci/cd, version control, testing practices, observability, logging, metrics

Summary: Candidates should be pursuing a bachelor's degree in a relevant field and have basic familiarity with Python, SQL, and visualization tools. Strong attention to detail and the ability to learn new tech

Skills: python, scala, sql, data analytics, business intelligence, data visualization, airflow, gcp composer, bigquery, linux, bash, spark, statistical concepts, geospatial analysis, collaboration, attention to detail

Summary: 12+ years of experience as an SAP Developer with 5+ years in SAP BTP implementation is required. Strong knowledge of SAP BTP tools/services and experience with object-oriented design and implementatio

Skills: sap btp, cloud-based applications, html5, javascript, css, rest api, soap, odata, sap fiori, sapui5, sap abap, cds views, devops, microservices, sql, spring boot

Summary: Candidates must have a minimum of 12 years of experience as an SAP Developer, with at least 5 years in SAP BTP implementation. Strong knowledge of SAP BTP tools and services, along with excellent comm

Skills: sap btp, cloud-based applications, html5, javascript, css, rest api, soap, odata, sap cloud workflow, sap fiori, sapui5, abap, cds views, devops, sql, spring boot

Summary: B.S degree in Computer Science or a related field with 5+ years of experience in Software Engineering or Data Engineering roles. Experience with Python, Spark, Java, Scala, Big Data Technologies, SQL,

Skills: python, spark, java, scala, big data technologies, sql, etl tools, dbt, streaming tools, kafka, kinesis

Summary: Candidates should have a B.S. degree in Computer Science or a related field and at least 5 years of experience in Software Engineering or Data Engineering roles. Proficiency in programming languages s

Skills: python, spark, java, scala, big data technologies, sql, etl tools, dbt, streaming tools, kafka, kinesis

Summary: You have 1.5+ years of experience as a software engineer and are proficient in Python or Kotlin. You are familiar with distributed systems and technologies like AWS, MySQL, and Kubernetes.

Skills: python, kotlin, aws, mysql, kubernetes, distributed systems, backend systems, code reviews, debugging, risk analysis, fraud detection, merchant identification, technical constraints, collaboration, metrics monitoring, on-call support

Summary: Candidates should have a Bachelor's degree or equivalent experience with 5+ years in data engineering or related roles. Strong experience with AWS and ETL tools, proficiency in Python/PySpark, and kno

Skills: data engineering, etl, aws, python, pyspark, cloud technologies, data modeling, data processing, snowflake, ci/cd, agile, database security, problem solving, analytical skills, communication skills

Summary: Candidates should have 5+ years of experience in data engineering and strong proficiency in Python and SQL. Familiarity with modern data platforms and hands-on experience with tools like Spark and Air

Skills: python, sql, etl, data engineering, data quality, data governance, data security, data integration, spark, pyspark, airflow, docker, git, databricks, microsoft azure, delta lake

Summary: You should have experience designing and launching backend systems at scale, with proficiency in Python or Kotlin. Familiarity with distributed systems and technologies like AWS, MySQL, and Kubernetes

Skills: backend systems, python, kotlin, distributed systems, aws, mysql, kubernetes, code reviews, debugging, risk analysis, fraud detection, merchant identification, data pipelines, software components, extensible code, growth activities

Summary: Candidates should have 7+ years of experience in data engineering or a similar role, with expertise in SQL Server, Tableau, R, and Python. A bachelor's degree or equivalent experience is required, and

Skills: data engineering, sql server, postgresql, tableau, r, python, dataiku, predictive analysis, data administration, data warehousing, star schemas, visualization techniques, problem-solving, analytical skills, attention to detail, communication skills, collaboration skills

Summary: Candidates should have over 7 years of software engineering experience, including at least 1 year in a management role. Strong back-end development skills and experience in managing high-performing te

Skills: software engineering, leadership, back end development, risk analysis, fraud detection, cross-team communication, collaboration, system performance, product management, data enrichment, merchant identification, code quality, design improvement, availability, reliability, consumer scale products