Technology

Data Engineer - Senior with Security Clearance

Gateway Geospatial GroupWashington, DC🇺🇸United StatesPosted Jul 13, 2026

Why This Role Stands Out

This Senior Data Engineer role offers significant opportunities to shape critical data infrastructure, directly impacting national security analysis and providing a platform for advanced skills development in a hybrid environment. You'll thrive here if you possess a strong background in data pipelines, SQL/NoSQL, and geospatial data, coupled with an active TS/SCI clearance, and are eager to contribute to a mission-driven team. Apply now to leverage your expertise and grow your career in a vital sector.

Quick Overview

Seniority

Mid Senior

Work mode

Hybrid

Location

Washington, DC, United States

Posted

2 months 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.