Data Engineer (Vantage) - Clearance Required

LMI • Crystal City, VA

13h • Hybrid

About The Position

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: Hybrid; at least 3 days on client site in Crystal City VA or Aberdeen MD. 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.

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.
• Only US Citizens are eligible for a security clearance.
• Applicants must meet eligibility requirements for a U.S. Government security clearance.

Nice To Haves

• Familiarity with Army data sources like IPPS-A, GCSS-Army, or GFEBS.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed