Palantir Foundry Data Engineer (DS L3)
Required skills
- Palantir Foundry
- Envision
- ontology modeling
- data pipelines
- SQL
- Python
- Power BI
- data workflows
- semantic models
- data validation
Nice to have
- Spark
- PySpark
- Air Force training pipelines
- SOCOM training environments
- wearable data
- Human Performance data
Role summary
The Palantir Foundry Data Engineer is a senior technical role focused on integrating customer data ecosystems using Palantir Foundry. Responsibilities include developing data pipelines, Foundry objects, ontology models, and operational dashboards. The engineer translates data into actionable insights for leadership to forecast trends, identify risks, and improve training outcomes. This role also involves coaching junior analysts and ensuring data governance. Key qualifications include a Master's degree, 5+ years of experience with Palantir Foundry/Envision, advanced SQL and Python proficiency, and experience with multi-layered data workflows and semantic models.
Primary Responsibilities:
- Design, build, and maintain scalable data pipelines and workflows across multiple DoW systems of record and internal databases
- Develop Palantir Foundry ontology layers that unify student performance, training progression, attrition, wearable data, and status tracking
- Construct and maintain Envision and Foundry-based dashboards that provide immersive insights to commanders and staff
- Implement version-controlled model workflows, transformation logic, and entity mapping to support predictive analytics and operational reporting
- Lead data validation, security, access control, and QA processes to ensure decision-ready data across enterprise
- Advise and mentor Data Specialists on data modeling, dashboard development, and workflow optimization using Palantir’s Foundry platform
- Collaborate directly with government leadership to refine requirements, validate tools, and ensure alignment with mission objectives
- Contribute to Initial Analysis, POAM development, and annual Program Management Reviews (PMRs) with technical insight and recommendations
- Master’s degree in Data Science, Computer Science, Operations Research, Statistics, Engineering, or related field
- 5+ years of experience developing analytics pipelines and visualizations in Palantir Foundry / Envision for AETC, DoW, or similar enterprise
- Advanced proficiency in SQL and Python; familiarity with Spark or PySpark preferred
- Proficiency using Power BI
- Demonstrated experience designing and deploying multi-layered data workflows and semantic models
- Ability to interface with both senior leadership and technical teams
- Familiarity with Air Force training pipelines, the Air Force, or SOCOM training environments
- Experience integrating wearable, Human Performance, medical, or training performance datasets
- Prior military service or direct embedded support experience
T3i Drug Free Workplace Statement: As a Federal Government Contractor, T3i is required to strictly adhere to federally mandated drug-free workplace standards. To ensure compliance with this requirement, T3i conducts pre-employment drug screening for all new hire personnel (full time, part time, and independent contractor) and annual random drug screening for all current T3i personnel. All drug screening includes testing for the following drugs, at a minimum: Marijuana (CBD, hemp oil, and other cannabidiol use may result in a positive result), cocaine, amphetamines, opiates, 6-monoacetylmorphine, and PCP. Personnel who cannot pass drug screening are not eligible for employment with T3i.
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