Data Engineer – Clearance Required

LMI

Data Engineer in LMI transforming Army data into actionable objects. Building scalable ETL pipelines and supporting Army operations within the Vantage environment.

Posted 5/15/2026full-timeCrystal City • Maryland, Virginia • 🇺🇸 United StatesMid-LevelSenior💰 $101,144 - $174,591 per yearWebsite

Tech Stack

Tools & technologies

ETLPySparkPythonSQL

About the role

Key responsibilities & impact

Design, build, and maintain scalable ETL pipelines using Python and PySpark within Palantir Foundry.
Develop and refine "Objects" (e.g., Soldiers, Equipment, Units) and their relationships to ensure a clean, accurate digital representation of Army operations.
Assist with the cleanup of legacy data models and implement automated data quality checks.
Build low-code/no-code applications and dashboards that allow senior leaders to access high-quality data in real-time.
Implement Medallion Lakehouse concepts to organize data into Bronze, Silver, and Gold layers for downstream analytics.

Requirements

What you’ll need

5–8 years of experience in Data Engineering with expert proficiency in Python, SQL, and PySpark.
Demonstrated experience with Army Vantage (Palantir Foundry) and the Advana ecosystem.
Active DoD Secret Clearance required.
Familiarity with Army data sources like IPPS-A, GCSS-Army, or GFEBS.
Minimal 10% travel.
Three days in Crystal City Va or Aberdeen MD. Open to Remote.

Benefits

Comp & perks

Salaried High Fringe/Full-Time

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonPySparkSQLETLdata quality checkslow-code applicationsno-code applicationsdata modelingdata analyticsMedallion Lakehouse

Certifications

DoD Secret Clearance