Palantir Data Engineer

Palantir Data Engineer (Remote/Hybrid) We’re seeking a skilled Palantir Data Engineer to design, build, and scale high-impact data solutions within the Palantir Foundry platform. In this role, you’ll turn complex, large-scale data into reliable, production-ready analytics that power AI-enabled decision making. What You’ll Do • Build, maintain, and optimize scalable data pipelines and workflows in Palantir Foundry using Python, PySpark, and SQL • Develop data models and ontologies, mapping datasets to objects with strong governance, lineage, and security • Monitor and tune performance for large-scale data processing environments • Partner with business stakeholders and engineering teams to translate requirements into technical solutions • Support platform reliability by managing data ingestion, integration, and overall Foundry uptime What You Bring • 2–3 years of experience in data engineering, ETL workflows, and big data technologies (e.g., Spark, Kafka, AWS) • Strong proficiency in Python, PySpark, SQL, and data modeling best practices • Hands-on Palantir experience, including Foundry certification (Code Repos, Workbooks, Pipeline Builder) • Experience working in Agile environments with large, complex datasets • Familiarity with collaboration and versioning tools such as JIRA, Git, and Confluence Tech Stack • Platforms & Tools: Palantir Foundry, Docker/Kubernetes, AWS (S3, Glue) Why This Role You’ll work on meaningful, high-visibility data initiatives, collaborate with cross-functional teams, and build solutions that move from concept to production. If you enjoy solving complex data challenges and delivering analytics that drive real-world impact, this role offers both technical depth and growth opportunity.