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Data Engineer (Vantage) - Clearance Required

Role overview

Qualifications

  • 5–8 years of experience in Data Engineering
  • Expert proficiency in Python, SQL, and PySpark
  • Demonstrated experience with Army Vantage (Palantir Foundry) and the Advana ecosystem
  • Active DoD Secret Clearance required

Responsibilities

  • Design, build, and maintain scalable ETL pipelines using Python and PySpark within Palantir Foundry
  • Develop and refine 'Objects' and their relationships for 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 for real-time data access by senior leaders

About the company

Logistics Management Institute logo

Logistics Management Institute

At LMI, we’re reimagining the path from insight to outcome at the new speed of possible.Combining a legacy of over 60 years of federal expertise with our innovation ecosystem, we minimize time to value and accelerate mission success.We energize the brightest minds with emerging technologies to inspire creative solutioning and push the boundaries of capability.LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving mission needs.

Company details

Company typeLarge
Company size1001 - 5000

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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: Open to Remote. Local preferred at 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 sectorsβ€”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.

Responsibilities:

Core 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:

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.

Travel: Minimal 10%

 

Location: Open to Remote. Local preferred at client site in Crystal City VA or Aberdeen MD.

 

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.

 

#LI-SH1

 

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

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