Note: The job is a remote job and is open to candidates in USA. LMI is seeking a Data Engineer to build the pipelines that power Army leadership decisions. The role involves transforming raw data from authoritative Army sources into structured, actionable objects within the Vantage environment, focusing on scaling data pipelines and ontology management.
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
Skills
- 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
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