Data Engineer

ICF

Data Engineer supporting federal government programs by designing and maintaining data solutions. Collaborating with cross-functional teams in a hybrid role focused on data-driven decision-making.

Posted 5/13/2026full-timeReston • District of Columbia, Maryland, Virginia • 🇺🇸 United StatesMid-LevelSenior💰 $89,261 - $151,744 per yearWebsite

Tech Stack

Tools & technologies

Amazon RedshiftApacheAWSCloudETLOraclePostgresPythonSparkSQL

About the role

Key responsibilities & impact

Design, develop, and maintain scalable data pipelines and ETL/ELT processes
Build and optimize data solutions within cloud environments using AWS services and Databricks
Ingest, transform, and integrate structured and unstructured data from multiple sources
Develop and maintain data models, data marts, and database structures to support analytics and reporting
Ensure data quality, integrity, and availability through validation, cleansing, and monitoring processes
Collaborate with architects, analysts, and developers to translate business requirements into technical solutions
Support CI/CD processes and automated deployments in collaboration with DevSecOps teams
Participate in Agile development processes, including sprint planning, backlog grooming, and daily stand-ups
Troubleshoot data issues, perform root cause analysis, and implement solutions in development and production environments
Create and maintain technical documentation for data pipelines, transformations, and workflows

Requirements

What you’ll need

3–5 years of experience in data engineering, data integration, or related technical roles
3+ years of strong proficiency in Python and SQL for data processing and transformation
U.S. Citizenship required due to federal contract requirements
Bachelor’s degree in computer science, Engineering, or a related field (preferred)
2+ years of hands-on experience with AWS data services (e.g., S3, Glue, Lambda, Redshift, RDS or similar)
2+ years of experience working with Databricks and Apache Spark or similar distributed data processing platforms
3+ years of experience with ETL/ELT frameworks, data pipeline development, and data ingestion patterns
3+ years of experience working with relational databases such as Oracle or PostgreSQL

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Paid time off
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringdata integrationPythonSQLETLELTdata pipeline developmentdata ingestiondata modelingApache Spark

Soft Skills

collaborationtroubleshootingroot cause analysistechnical documentationcommunicationAgile methodologiesproblem-solvingdata quality assuranceorganizational skillsteamwork