Data Engineer

You will design and operate scalable data pipelines, models, and datasets across infrastructure, platform, and business systems. You will build Palantir Foundry data products, enable self-service analytics, implement quality and governance controls, and own projects from design through production.

Responsibilities

• Design and build scalable data pipelines
• Define data models and schemas
• Clean, transform, and structure data
• Implement Foundry permissioning, access management, and security
• Create trusted datasets and metrics
• Enable self-service analytics through data contracts, documentation, and semantic layers
• Build data products for capacity planning, cost optimization, reliability analysis, and customer reporting
• Implement data quality checks, monitoring, and alerting
• Establish data lineage, versioning, access control, and governance
• Own projects from design through production and iteration

Requirements

• Hands-on Palantir Foundry experience
• Experience with ontology modeling, pipeline development, API integration, and data platform design
• Python proficiency
• Experience with Spark, PySpark, Dask, or pandas
• Experience with REST, GraphQL, and Foundry Action APIs
• Experience with Git workflows, code review, version control, and CI/CD
• Ability to work in ambiguous early-stage environments
• Ability to communicate data concepts to technical and non-technical stakeholders

Benefits

• Equity
• Flexible workplace
• Remote-first work