Data Engineer Jobs in District of Columbia, United States

The Data Engineer, Solutions & Data role at DLA Piper designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics, reporting, and downstream solutions. Day-to-day work includes consolidating data from multiple sources into a central SQL-based integration point, performing field mapping and transformations, and building pipelines using Azure data technologies such as Azure Data Factory, Azure Databricks, Azure Eve

Data Engineer on Makpar's Federal Solutions team, delivering enterprise-scale analytics for government clients. Designs, builds, and optimizes cloud-based data pipelines using Python, SQL, Databricks, and modern ETL frameworks while ensuring CI/CD integration and automation.

Accenture Federal Services seeks a Senior Data Engineer to build scalable data platforms in AWS and Databricks, driving product-oriented data solutions for federal clients. The role involves designing robust pipelines, optimizing infrastructure, and enhancing data feeds, while collaborating in an agile scrum team.

Actifai is an AI company helping broadband providers optimize decisions via SaaS. Senior Data Engineers on the remote team architect and build the next-generation cloud enterprise data platform, owning the full data lifecycle from ingestion to governance.

USM Business Systems' Data Engineering team builds scalable big data platforms to support government and enterprise analytics. The engineer designs, deploys, and optimizes Hadoop and cloud storage solutions, develops ETL pipelines, and ensures performance tuning of RDBMS instances.

Expression is seeking an experienced Data Engineer to support the design, development, and operational deployment of scalable, AI-enabled data solutions for the Department of Defense CDAO ADA IR program. The role designs and deploys data pipelines, preprocessing workflows, feature-engineering strategies, reusable data services, and machine learning capabilities within secure, containerized environments, while collaborating with product managers, developers, DevSecOps engineers, data scientists,