Data Engineer

Role Description

LMI is seeking a Data Engineer to build the pipelines that power Army leadership decisions. You will transform raw data from authoritative Army sources into structured, actionable "Objects" within the Vantage (Palantir Foundry) environment.

• Focus: Scaling data pipelines and ontology management within the Army Vantage/Advana ecosystem.
• Active Secret clearance required.
• Location: Open to Remote. Local preferred at client site in Crystal City VA or Aberdeen MD.

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.

Qualifications

• 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 (bonus).
• Minimal travel: 10%.
• Target salary range: $101,144 - $174,591.

Requirements

• Applicants must meet eligibility requirements for a U.S. Government security clearance.
• Only U.S. Citizens are eligible for a security clearance.
• LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.