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Data Engineer

McLean, Virginia, United States💼 Full-time🗓 2026-04-05 → 2026-08-01

Core

Design, build, and maintain scalable data pipelines and architectures for mission-critical programs within the Intelligence Community.

Role type

Data Engineer

Builds

Scalable ETL/ELT pipelines and cloud-based data architectures

Domain

Intelligence Community / Cloud Data Engineering

Deliverable

production ML models | infrastructure

Required skills

AWS data services (S3, Glue, Lambda, Redshift, EMR, Kinesis), SQL, Python, ETL/ELT pipeline development, big data technologies, data optimization, data governance

Preferred skills

Batch and real-time processing, indexing and partitioning strategies, API integration, Agile development

Technologies

AWS (S3, Glue, Lambda, Redshift, EMR, Kinesis), SQL, Python

Responsibilities

Design and develop scalable ETL/ELT pipelines; Build and optimize data workflows for batch and real-time processing; Ensure high availability and reliability of data pipelines; Optimize data storage and retrieval for performance and cost; Implement data validation, monitoring, and error-handling mechanisms; Integrate data solutions with enterprise applications and downstream analytics platforms

Seniority

Mid-to-Senior, hands-on IC

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