Software Engineer – Query Engines

Palantir; London (KY); On-site; USD 120,000 - 160,000; Full time

Job summary

Palantir is seeking software engineers to join a world-changing data software team. You will work on the data processing infrastructure that underpins Palantir Foundry, enabling hospitals, supply chains, and other critical operations to run more effectively.

You will own improvements from design through production, focusing on correctness, compatibility, and predictable performance. The role emphasizes building with open-source data technologies and integrating into diverse products and

Job description

A World-Changing Company

Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more.

The Role

We are a software engineering team applying open-source data technologies to some of the world’s hardest and most important problems. We build the data processing infrastructure that underpins Palantir Foundry, supporting applications that help hospitals care for more patients, help clinical teams coordinate timely diagnoses, and keep essential supplies moving through global disruption.

You will work deep inside the systems that make this possible: how computations are represented, how query plans are optimized, how operators execute, and how data is read and written efficiently. We build on and extend Apache Spark, Apache DataFusion, and Apache Iceberg, bringing advances in open-source engines and table formats into the demanding environments our customers operate in. Our work serves many products and workloads across Foundry, including no-code pipelines, interactive analysis, and the processing that keeps the Ontology up to date.

You will own improvements from design through production, whether that means developing a planning rule, extending a native execution engine, or improving the way large tables are scanned and updated. Correctness, compatibility, and predictable performance are central to everything we build. A change in a shared engine can benefit applications across the platform and the people who rely on them.

Join us if you want to advance the capabilities of modern data systems and apply that work to consequential problems.