Data Engineer II

Collaborate with stakeholders — Work closely with Product Owners and Architects to understand requirements, formulate innovative solutions, and evaluate implementation effort with a pragmatic, delivery-focused mindset.

Build scalable data pipelines — Design, develop, and maintain robust data pipelines and transformation logic using Python/PySpark, SQL, and modern analytics platforms such as Palantir Foundry.

Deliver actionable insights — Design and implement analytics models and visualizations that translate complex data into clear, business-ready insights.

Leverage AI technologies — Utilize Palantir AIP and generative AI to enhance analytics solutions, automate workflows, and improve user experiences where appropriate.

Embrace AI-assisted development — Use tools such as GitHub Copilot or equivalent to improve development efficiency while upholding high engineering standards.

Drive innovation — Evaluate new platform capabilities, develop prototypes, and help assess their applicability within our solution landscape.

• Contribute to a global team — Collaborate across a geographically distributed development team to co-design and deliver high-quality solutions in an agile environment.