Lead Palantir Data Engineer

1. 2–3 years as a Data Engineer working in Palantir Foundry, primarily focused on data integration — owning the ingestion of external source data into Foundry and keeping it reliable, fresh, and well-structured. 1. Hands-on expertise with Data Connection: setting up sources and connections (JDBC databases, file systems, REST/API endpoints), configuring agent-based and direct connections, managing credentials and connectivity, and authoring syncs and virtual tables to land and continuously refresh source data. 1. Strong development in Code Repositories, writing transforms and functions primarily in TypeScript, with Python and SQL as needed — including incremental logic and data health checks/expectations to keep integrated datasets accurate and performant. 1. Proficiency with Builds, Schedules, and Automate to orchestrate dataset builds and event-driven workflows — configuring schedule- and event-based triggers, retries, monitoring conditions, and notifications — and using Data Lineage to trace dependencies and debug data flows. 1. Experience with Ontology Manager to model and maintain integrated data as object types, properties, link types, and Actions, and with Foundry DevOps and Marketplace to package and promote work across environments (Dev → Test → Prod) using spaces for clean release management.