Data Engineer

Please note: This role is contingent upon a contract award. While it is not an immediate opening, we are actively conducting interviews and extending offers in anticipation of the award.

The Work

At ICF our Digital Modernization Division is an information technology and management consulting organization that delivers integrated, strategic solutions to federal clients. We bring expertise in cloud, cybersecurity, enterprise architecture, data modernization, and digital transformation to support mission-critical government programs.

Join a team accelerating the modernization of a large federal agency's enterprise data and analytics ecosystem. This cloud-based platform provides data storage, analytics, governance, and AI/ML capabilities that enable thousands of users to transform data into actionable insights. As demand continues to grow, the team is focused on migrating legacy workloads, streamlining onboarding and support, expanding platform capabilities, and helping organizations across the enterprise adopt modern data and AI solutions at scale.

The Data Engineer builds and maintains data pipelines, transformations, semantic views, conformed dimensions, and consumption-ready data models for analytics, reporting, and AI/ML use cases. Implements pipeline documentation, lineage support, release-readiness evidence, quality checks, and defect resolution. Works with data owners, governance personnel, and customer-facing teams to ensure data products are understandable, reliable, and ready for approved use.

Job Location: Remote, however, strong preference for candidates who live in the Washington DC Metro Area. There will be occasional onsite meetings on the client site in Washington, DC.

*If you accept this position, you should note that ICF does monitor employee work locations, blocks access from foreign locations/foreign IP addresses, and prohibits personal VPN connections.

What You Will Do:

• Builds and maintains data pipelines, transformations, semantic views, conformed dimensions, and consumption-ready data models for analytics, reporting, and AI/ML use cases.

• Implements pipeline documentation, lineage support, release-readiness evidence, quality checks, and defect resolution.

• Works with data owners, governance personnel, and customer-facing teams to ensure data products are understandable, reliable, and ready for approved use.

• Apply ETL/ELT, SQL/Python, Databricks, Azure Data Factory or equivalent orchestration, semantic views, data modeling, quality checks, and documentation to support role delivery.

• Collaborate with relevant product, engineering, security, governance, quality, and customer-facing stakeholders as required by the role.