Data Engineer Jobs in District of Columbia, United States

Northramp is seeking a Data Engineer to support a client's Cloud program, a mission-critical effort to consolidate, modernize, and operate enterprise cloud services across IaaS, PaaS, and SaaS environments under FedRAMP High authorization. You will design and operate cloud-native data pipelines, warehousing, and integration layers centered on BigQuery as the primary analytical data warehouse, supporting enterprise reporting, AI/ML, and program management data needs.

In EY’s Office of the CTO, the Advanced Forward Engineering (AFE) team deploys AI‑native systems into highly regulated client environments such as tax, finance, and risk. As an AFE Data Engineer, you serve as the data owner within forward‑deployed delivery pods, designing ingestion, transformation, and access patterns that integrate enterprise AI with legacy data sources while ensuring governance, security, and lineage compliance.

As a Data Engineer at Booz Allen, you will build and deploy data pipelines and platforms that organize disparate structured and unstructured data to support mission-driven projects ranging from fraud detection and cancer research to national intelligence. Day-to-day, you will develop and maintain scalable data stores, design ETL/ELT workflows, and convert data into usable formats while collaborating with analysts, developers, and data consumers in an agile environment.

Booz Allen seeks a Data Engineer to build advanced technology solutions and implement data engineering activities for mission-driven public health projects. The role involves deploying pipelines, managing scalable platforms, and guiding cross-functional teams in an agile environment.

Data Engineering team at Zelis builds and maintains the critical Cost Roll data pipelines that aggregate healthcare claims and match them to provider demographics. The role ensures data workflow reliability, validates claim data, troubleshoots issues, and supports stakeholders with operational data quality.

Accenture Federal Services seeks a Data Engineer to design, build, and maintain scalable end-to-end data pipelines using Databricks, Spark, and related technologies for US federal government clients. Day-to-day work includes developing data transformation workflows, integrating diverse data sources, collaborating with cross-functional teams, implementing data quality and observability processes, and leveraging AWS services to build cloud-native solutions.

Data Engineer role designs, builds, and operates data pipelines and integration processes to deliver analytics-ready data. Focuses on governance, SLAs, data quality, and secure access.

Booz Allen seeks a Data Engineer in Washington, DC to build advanced technology solutions and implement data engineering activities for mission-driven projects. The role involves deploying pipelines, managing scalable platforms, and guiding multi-disciplinary teams in an agile environment.

Data Engineering role at Arbor building an AI-powered electricity marketplace. Own data pipeline infrastructure from ingestion to Snowflake, dbt transformation layer, and dashboards in Hex. Partner with engineering, ops, and leadership to deliver analytics on pricing, trends, and performance.