About the Role We are seeking an experienced Data Engineer with strong, hands-on expertise in Palantir Foundry to design, build, and optimize scalable data pipelines, semantic models, and data products. In this role, you will collaborate closely with data scientists, analysts, product teams, and business stakeholders to deliver robust, production-grade data foundations that enable analytics, automation, and operational decision-making. You will play a key role in shaping our data ecosystem, with a strong focus on reliability, performance, scalability, data quality, and long-term sustainability. Experience Requirement: 5+ years in Data Engineering, including 1-2 years of strong hands-on Palantir Foundry experience. Key Responsibilities Design, develop, and maintain end-to-end data pipelines using Palantir Foundry, including Pipeline Builder, Code Repositories, Data Lineage, Ontology, Workshop, Quiver, and related Foundry capabilities. Implement batch, incremental, and streaming ETL/ELT workflows using reusable, scalable, and production-ready components. Build and maintain high-quality, version-controlled data products aligned with business and analytical requirements. Work across federated data environments, integrating diverse data sources and addressing complex data integration challenges. Design, extend, and maintain Foundry Ontologies, including object types, link types, property types, and semantic relationships. Develop semantic data layers that support analytics, ..... full job details .....