Palantir Foundry Data Engineer (DS L3)

Job Summary: The Palantir Foundry Data Engineer serves as the senior technical integrator for the customer’s data ecosystem. This role leads the development of data pipelines, Foundry objects, ontology modeling, and immersive operational dashboards using Palantir Foundry (Envision). The Data Engineer translates operational, training, and human performance data into decision-ready products that enable leadership to forecast performance trends, identify risk factors, and improve training pipeline outcomes. The Data Engineer also coaches junior analysts and ensures analytic repeatability, transparency, and governance across the data environment.

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

Minimum Qualifications:

• 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

Preferred Qualifications:

• Familiarity with Air Force training pipelines, the Air Force, or SOCOM training environments

• Experience integrating wearable, Human Performance, medical, or training performance datasets