The Work: We are seeking a Data Engineer to support federal government programs by designing, building, and maintaining scalable, secure, and compliant data solutions. This role partners closely with data scientists, analysts, developers, and government stakeholders to enable data-driven decision-making across mission‑critical systems.

Job Location: This is a fully remote role which may require occasional travel to the DC Metro area as needed for onsite client meetings. Preference to candidates located within the Washington, DC Metro area.

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

What You Will Do:  

• Design, build, and maintain data pipelines and ETL/ELT processes supporting large-scale federal data systems

• Develop and optimize cloud-based data architectures in AWS or Azure environments (e.g., S3, Redshift, RDS, Databricks, Synapse)

• Integrate structured and unstructured data from multiple government and third‑party sources

• Ensure data quality, integrity, availability, and performance across systems

• Support ATO, RMF, and federal security requirements, including documentation and audit support

• Collaborate with DevOps teams on CI/CD, infrastructure as code (IaC), and deployment automation

• Translate business and mission requirements into scalable technical solutions

• Produce and maintain technical documentation for data flows, pipelines, and architectures

• Participate in Agile ceremonies and work closely with cross‑functional teams

What You Will Bring With You:  

• Active Top Secret clearance, with SCI eligibility

• 2+ years of experience designing and supporting enterprise data solutions in federal or regulated environments

What We Would Like You To Bring With You: 

• Bachelor's Degree in related field

• Prior experience supporting federal or DoD programs, preferably DCSA

• Strong experience with relational databases (e.g., Oracle, PostgreSQL, SQL Server, Azure SQL, or similar)

• Knowledge of data modeling techniques, ETL/ELT processes, and data integration patterns

• Familiarity with cloud platforms (Azure, AWS, or GCP) and modern data services

• Experience supporting security, governance, and compliance requirements

• Experience with data warehousing, reporting, and analytics platforms

• Familiarity with DevSecOps, CI/CD pipelines, and infrastructure‑as‑code

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