Data Engineer - Army Vantage / Palantir Foundry - Clearance Required

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 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.

Qualifications

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 developing or maintaining solutions in Palantir Foundry and/or Army Vantage, with sufficient familiarity to contribute with limited platform-specific ramp-up. - Strong proficiency in SQL and Python for data transformation, analysis, automation, and troubleshooting. - Experience designing, building, and maintaining ETL/ELT pipelines involving complex or disparate datasets. - Experience with data modeling, including schemas, keys, relationships, reference data, and transformation of source data into reusable data products. - Experience with Foundry ontology, semantic data models, or comparable enterprise data structures. - Experience with PySpark, Spark, Pandas, or comparable technologies for transforming complex datasets. - Demonstrated ability to troubleshoot data pipelines, integrations, data-quality issues, and production data products, including tracing problems across source systems and downstream consumers. - Ability to work independently from mission intent or a desired end state while collaborating effectively with multidisciplinary technical and product teams. - Strong analytical, problem-solving, communication, and documentation skills, including the ability to explain technical concepts to nontechnical stakeholders. - Active DoD Secret security clearance. Preferred

Qualifications

• Direct experience developing and sustaining data products within Army Vantage. - Experience integrating DoD/Army authoritative data sources and working with enterprise data-quality, lineage, governance, and access-control

Requirements

. - Experience developing Foundry-native applications, dashboards, reports, or custom interfaces. - Experience applying software-engineering practices such as Git/version control, peer review, automated testing, and CI/CD to data products. - Familiarity with APIs, cloud data services, and enterprise system integration. - Experience working within an Agile or SAFe Agile Release Train (ART) environment. - Applicable DoD 8140 cybersecurity/workforce qualification, where required. - Experience supporting Army, DoD, federal, or other secure/regulated mission systems. Target salary range: $120,000 - $155,000 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.

Job Locations US-

Remote

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