Top Data & Analytics Jobs

As a Data Engineer at OpenAI, you'll design and implement data pipelines, develop key datasets, and collaborate with teams to integrate data for People Innovation Labs' products.

The Data Engineer will develop tools and code for data engineering activities, support data transport and ingestion, and work alongside Data Scientists. The role requires hands-on coding and ETL responsibilities, ensuring data is correctly formatted for analysis.

The Data Engineer / Data Project Lead manages data projects, designs pipelines, leads a technical team, ensures data quality, and supports decision-making for Head Start programs.

The role involves developing and maintaining the Enterprise Data Warehouse, optimizing queries, and supporting data analysis and business intelligence activities.

The Data Engineer will develop and maintain data pipelines, perform data extraction and transformation, and support data analytics across the enterprise.

As a Principal Data Engineer, you'll design and maintain scalable data pipelines and frameworks using Azure technologies while collaborating with various teams to ensure data products support business decisions.

The Principal Data Engineer designs and maintains scalable data systems, evaluates new technologies, mentors junior engineers, and leads data engineering initiatives in agile environments.

The Principal Data Engineer will provide technical leadership, design complex software architectures, mentor teams, and drive data engineering best practices within the organization.

Design and maintain a dbt-based business data layer for GTM metrics, centralize and reconcile multi-source data, implement automated data quality and reconciliation checks, align and document metrics with stakeholders, mentor analytics team, and lead root-cause investigations into complex data anomalies.

Lead and mentor a distributed data engineering team while architecting and building a next-generation, largely open-source data platform. Own hands-on POCs, pipeline design, schema and query optimization, ETL reliability, observability, testing, and CI/CD. Evaluate and recommend technologies, drive migration from vendor lock-in, and translate advertising and market research needs into robust technical solutions.

Design, implement, and maintain cloud-based data pipelines and architectures (ETL, data lake/warehouse). Advise clients on best practices, collaborate with product owners, mentor engineers, and deliver scalable distributed data solutions using cloud platforms and orchestration tools.

Design, implement, and maintain cloud-based data pipelines and architectures across AWS/Azure/GCP. Advise clients on best practices, partner with stakeholders to translate requirements, provide technical leadership, and mentor engineers while leveraging ETL/orchestration tools, data warehouses/lakes, databases, and programming languages for scalable data solutions.

Design, develop, and maintain batch and streaming data pipelines and ETL for large unstructured datasets. Build and operate CI/CD pipelines, containerize applications with Docker, deploy on Kubernetes, and collaborate with developers, data scientists, SMEs, and cyber analysts to deliver data management solutions.

Lead design and build of Snowflake-native medallion data architecture, ETL/ELT pipelines, master data and governance, and an enterprise semantic layer. Partner with Finance to produce reliable financial data products, optimize performance/cost, enforce data quality and compliance, mentor junior engineers, and support AI use cases and observability.

Design and build scalable Microsoft Fabric pipelines and lakehouse models, optimize Power BI semantic models and refresh strategies, enforce SDLC and CI/CD best practices, mentor teammates, and ensure SLA-driven, client-facing analytics reliability and performance.

Design and build scalable data pipelines and unified data models in Microsoft Fabric to support actuarial, data science, and product teams. Integrate diverse sources, ensure data quality and observability, optimize performance and cost, and apply CI/CD and engineering best practices. Collaborate with product teams, contribute to governance, mentor others, and evaluate new technologies to improve the analytics platform.

Designs, builds, and optimizes data pipelines and architectures (ETL/ELT) to support analytics and ML teams. Assembles complex datasets, implements process improvements, collaborates with IT on AWS and Snowflake infrastructure, applies statistical techniques, supports reporting and analytics, and ensures compliance with financial regulations.

Lead design and ownership of a modern data platform: ingestion, Snowflake governance, pipeline reliability, migrations, data contracts, observability, and AI-enabled tooling. Partner with Analytics, Engineering, and vendors to deliver trustworthy data products and operate production pipelines.

Design, build, and maintain Power BI and MicroStrategy dashboards and reports; perform ETL and data integration from diverse sources; support IT operations through data analysis; ensure data accuracy and compliance with DoW STIGs and IL5/IL6/IL7; document solutions and train users; collaborate with stakeholders to translate requirements into visualizations.

Build, maintain, optimize, and automate scalable data pipelines and ETL workflows (PySpark/Databricks) to support ML, BI, analytics, and software products. Improve data quality with Delta Lake and validation frameworks, enable streaming analytics, prepare datasets for modeling, and deliver stakeholder-facing Tableau dashboards. Mentor junior engineers and document integrations and processes.

Design, build, and operate MongoDB-based, cloud-native data platforms and real-time pipelines (Kafka/CDC) for high-volume transactional and analytical systems. Optimize schemas, indexing, queries, and Atlas cluster architectures; implement ETL/ELT, monitoring, governance, and incident support while collaborating with engineering, analytics, and product teams to deliver production-grade data solutions that handle PII/PHI.

Lead design, maintenance, and optimization of on-prem and cloud data platforms. Perform DBA duties for SQL Server, manage HA/DR and replication, troubleshoot performance, lead on-prem to Azure migrations, maintain Azure data services and Microsoft Fabric, optimize cloud cost/performance, implement monitoring, collaborate with architects and BI teams, and mentor junior engineers.

Design, build, and maintain large-scale data pipelines and ETL processes (NiFi, Kafka, AWS) using Python and Java. Create data models, automated cleaning, monitoring, unit tests, and warehousing solutions. Collaborate with engineering teams, use Docker and JIRA, and support analytics and data science consumers.

Design, build, and maintain large-scale data pipelines using NiFi, Kafka, Python, Java, and AWS. Develop ETL/warehousing, data models, automated cleaning, monitoring, unit tests, and SQL-based debugging. Containerize with Docker, collaborate via JIRA/Agile, and ensure scalable, observable data architecture for analytics and data science.

Lead architecture and ownership of an enterprise Databricks/Azure data platform, design scalable ETL/ELT pipelines and integrations (HL7/FHIR), enforce governance and security for healthcare data, optimize performance/costs, drive CI/CD and IaC, and mentor engineers while partnering cross-functionally to deliver interoperable data solutions.