Data Engineer

You will design, build, and operate scalable data pipelines and models for infrastructure, platform, and business data. You will create trusted datasets, enable self-service analytics, implement governance and quality controls, and deliver data products for operational and customer-facing use cases.

Responsibilities

• Design and build scalable data pipelines
• Define data models and schemas
• Clean, transform, and structure data
• Manage Foundry permissions, access, and security
• Create trusted datasets and metrics
• Enable self-service analytics through data contracts and semantic layers
• Build capacity-planning, cost-optimisation, reliability, and customer-reporting use cases
• Implement data quality checks, monitoring, and alerting
• Codify data lineage, freshness, and consistency
• Establish data versioning, access-control, and governance practices
• Own projects from design through production and iteration

Requirements

• Hands-on Palantir Foundry experience
• Ontology modelling
• Pipeline development
• API integration
• Large-scale data platform design
• Python
• Spark
• PySpark
• Dask
• pandas
• REST
• GraphQL
• Foundry Action APIs
• Git-based development workflows
• Code review
• Version control
• CI/CD pipelines
• Communication skills

Benefits

• Equity
• Flexible workplace
• Medical insurance
• Dental insurance
• Vision insurance
• Flexible paid time off
• Parental leave
• Retirement plan participation