Senior Data Engineer (Palantir)

We're looking for a hands-on Palantir Foundry engineer to design and build ontology-driven data foundations and operational applications for our clients. You'll work across the full Foundry stack — from pipeline engineering to ontology modeling to AIP-powered app building — translating business requirements into production-grade solutions that teams can trust and build on. What you'll do: - Build and maintain data pipelines using Pipeline Builder and Code Repositories, writing PySpark/Python transforms to power Foundry's data foundation. - Design and govern the shared ontology in Ontology Manager — modeling object types, link types, and action types that accurately represent the business. - Build operational applications using Workshop and OSDK, translating ontology objects into usable, business-facing tools. - Develop AIP-backed capabilities using Agent Studio and Logic, including LLM-backed functions in TypeScript/Python, with working knowledge of AIP Evals to test and validate quality. - Manage releases across environments (Dev → UAT → Prod) using Foundry's branching, DevOps, and Marketplace-based promotion workflows. - Partner with business and client stakeholders to translate requirements into robust ontology design and Foundry-native applications. What you bring: - Hands-on experience across the core Foundry stack: Ontology Manager (object/link/action types), Pipeline Builder, and Code Repositories (PySpark/Python transforms). - Practical AIP experience — Agent Studio, Logic, and building LLM-backed functions in TypeScript/Python — along with familiarity with AIP Evals. - Strong ontology design and governance skills — modeling entities and relationships, defining action types, and managing a shared ontology across multiple teams. - Experience with Foundry release management — branching, DevOps practices, and Marketplace-based promotion across environments. - Ability to translate ambiguous business requirements into clean, scalable Foundry data foundations and operational apps. Good to have: - OSDK experience for custom front-ends or external system integrations. - Exposure to Palantir MCP and Ontology MCP. - Strong core data engineering fundamentals — SQL, Python/PySpark, schema design, and incremental pipeline patterns. - Foundry administration experience — Spaces, markings/CBAC, project structuring, and access governance. - Familiarity with change management / SDLC discipline for analytics platforms, including environment separation and promotion pipelines. - Prior client-facing or stakeholder-facing delivery experience.