Data Engineer (Vantage) - Clearance Required

LMI is a digital solutions provider serving government and defense missions with commercial-grade technology and mission-ready platforms. The company is seeking a Data Engineer to build scalable data pipelines and manage ontology objects within the Army Vantage/Palantir Foundry and Advana ecosystems, supporting real-time decision-making for Army leadership.

Responsibilities:

• 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

Requirements:

• Active Secret clearance required
• Local preferred at client site in Crystal City VA or Aberdeen MD
• 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
• Travel: Minimal 10%
• Applicants must meet eligibility requirements for a U.S. Government security clearance
• Only US Citizens are eligible for a security clearance
• For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work