Data Engineer (Vantage) - Clearance Required

Data Pipelines: Design, build, and maintain scalable ETL pipelines using Python and PySpark within Palantir Foundry.

• Ontology Management: Develop and refine “Objects” (e.g., Soldiers, Equipment, Units) and their relationships to ensure a clean, accurate digital representation of Army operations.
• Data Hygiene: Assist with the cleanup of legacy data models and implement automated data quality checks.
• Decision Support: Build low-code/no-code applications and dashboards that allow senior leaders to access high-quality data in real-time.
• Architecture: Implement Medallion Lakehouse concepts to organize data into Bronze, Silver, and Gold layers for downstream analytics.

• Technical: 5-8 years of experience in Data Engineering with expert proficiency in Python, SQL, and PySpark.
• Platform: Demonstrated experience with Army Vantage (Palantir Foundry) and the Advana ecosystem.
• Clearing: Active DoD Secret Clearance required.
• Bonus: Familiarity with Army data sources like IPPS-A, GCSS-Army, or GFEBS.

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.