Data Engineer (Vantage) - Clearance Required

LMI Government Consulting; Virginia (MN); Hybrid; USD 101,144 - 174,591; Full time

Job summary

LMI Government Consulting is seeking a Data Engineer to develop the pipelines that drive Army leadership decisions. You will be transforming raw data into structured, actionable information within the Vantage (Palantir Foundry) environment. This role involves significant collaboration within the Army's Vantage/Advana ecosystem.

The ideal candidate will have 5-8 years of Data Engineering experience, proficiency in Python, SQL, and PySpark, and will need an active DoD Secret Clearance. The position offers a hybrid work model, allowing for remote work options.

Qualifications

• 5–8 years of experience in Data Engineering.
• Active DoD Secret Clearance required.
• Familiarity with Army data sources like IPPS‑A, GCSS‑Army, or GFEBS is a bonus.

Responsibilities

• Design, build, and maintain scalable ETL pipelines using Python and PySpark.
• Develop and refine digital representations of Army operations.
• Assist with the cleanup of legacy data models.

Skills

Expert proficiency in Python

Expert proficiency in SQL

Expert proficiency in PySpark

Experience with Army Vantage (Palantir Foundry)

Experience with Advana ecosystem

Job description

Overview

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. Open to Remote.

Travel: Minimal 10%

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

• Technical: 5–8 years of experience in Data Engineering with expert proficiency in Python, SQL, and PySpark.
• Platform: Demonstrated experience with Army Vantage (Palantir Foundry) and the Advana ecosystem.
• Clearing: Active DoD Secret Clearance required.
• Bonus: Familiarity with Army data sources like IPPS‑A, GCSS‑Army, or GFEBS.

Target salary range: $101,144 - $174,591

Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.

Applicants must meet eligibility requirements for a U.S. Government security clearance. Only U.S. 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.