LMI is a digital solutions provider focused on enhancing government impact through innovation. They are seeking a Data Engineer to build and maintain data pipelines that support Army leadership decisions by transforming raw data into actionable insights within the Vantage environment.
Responsibilities:
- 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:
- 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