Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Washington, DC, United States
Posted
7 weeks ago
SQLETLAirflowPython
Job Description
About the role The Data Engineer enables DIA's Defense Economic Analysis mission by designing, operating, and optimizing data management systems that move, normalize, and prepare structured, unstructured, and geospatial data for analysis. The role builds end-to-end pipelines and back-end data services across SQL/NoSQL environments and contributes to modernization of mission repositories and tooling to support analytic production. This position directly supports analysts and decision makers by ensuring that data is accurate, reliable, and accessible for mission use. Responsibilities
- Develop and optimize ETL pipelines for diverse data sources.
- Manage and tune relational and non-relational databases.
- Implement data validation and quality assurance processes.
- Enable integration of geospatial and economic datasets for analytic workflows.
- Support modernization of DIA repositories and cross-domain data access.
- Provide technical mentorship and oversight to junior engineers. Required qualifications
- Active TS/SCI clearance.
- Bachelor's degree in Computer Science, Engineering, or related field OR 13+ years of relevant experience in lieu of a degree.
- 10+ years of professional data engineering experience.
- Proficiency with SQL, Python, and ETL frameworks.
- Experience with geospatial data standards (OGC, ISO). Preferred qualifications
- Master's in Data Science or Engineering.
- Experience with Airflow, ElasticSearch, and distributed databases.
- Prior IC/DoD project leadership experience.
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