LMI

Data Engineer – Army Vantage / Palantir Foundry - Clearance Required

Remote, US$120,000-$155,000Posted today

Job Description

Overview

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

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