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Data Engineer - Army Vantage​/Palantir Foundry - Clearance Required

Job in Virginia Beach, Virginia, 23450, USA
Listing for: LMI Consulting, LLC
Full Time position
Listed on 2026-10-20
Job specializations:
  • Software Development
    Data Engineering
Salary/Wage Range or Industry Benchmark: 120000 - 155000 USD Yearly USD 120000.00 155000.00 YEAR
Job Description & How to Apply Below
Position: Data Engineer - Army Vantage / Palantir Foundry - Clearance Required

Data Engineer
- Army Vantage / Palantir Foundry
- Clearance Required Job Location s

US-Remote

LMI is seeking an experienced Data Engineer
- Army Vantage / Palantir Foundry
to support the U.S. Army Training Information System (ATIS) program. This hands-on role will develop, maintain, and improve ATIS data products and integrations, with a primary focus on capabilities delivered through Army Vantage and Palantir Foundry.

The Data Engineer will transform authoritative ATIS data into reliable, reusable enterprise data products and ensure Vantage/Foundry capabilities integrate effectively with the broader ATIS data ecosystem. The ideal candidate has hands-on Foundry experience, strong data-engineering skills, and the ability to independently identify and resolve end-to-end data quality and integration issues across ATIS and Vantage/Foundry.

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.

Responsibilities
  • Develop, maintain, troubleshoot, and enhance ATIS data products, datasets, pipelines, applications, dashboards, and related capabilities within Army Vantage/Palantir Foundry
    .
  • Design, build, and sustain production-quality data pipelines and transformations using Python, SQL, PySpark, and native Foundry capabilities
    .
  • Develop and maintain Foundry ontology objects, relationships, and data models that make authoritative ATIS data understandable, reusable, and accessible to approved users.
  • Integrate authoritative ATIS data with Vantage/Foundry and other Army enterprise data sources while maintaining data quality, lineage, and appropriate access controls
    .
  • Trace, diagnose, and drive resolution of end-to-end data quality and integration issues across ATIS source data, interfaces, transformations, pipelines, and Vantage/Foundry products.
  • Develop Foundry-native dashboards, applications, reports, and other data products to support Army analytics, visualization, reporting, and mission needs.
  • Implement data-quality validation, monitoring, scheduling, error handling, and other practices necessary to operate reliable production data products.
  • Apply sound software and data-engineering practices, including version control, peer review, testing, documentation, and CI/CD where supported.
  • Work directly with product owners, engineers, architects, analysts, and users to translate mission needs into practical technical solutions and support appropriate use of authoritative ATIS data.
  • Document solutions, share knowledge, and build team capability so ATIS can sustain and extend its data and Foundry capabilities without creating single-person dependencies.
  • Operate as a self-directed member of the Agile team, taking ownership of technical outcomes and independently driving problems toward resolution.
Required Qualifications
  • Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering
    , or a related technical field, or equivalent relevant experience.
  • 4+ years of professional experience in data engineering, data integration, software development, or development of production data products.
  • Hands-on experience…
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