Software Engineer, New Grad - Query Engines

Palantir; London (KY); On-site; USD 120,000 - 210,000; Full time

Job summary

Palantir builds the world’s leading software for data-driven decisions and operations. You will join a software engineering team applying open-source data technologies to solve high-impact problems, building data processing infrastructure underpinning Palantir Foundry.

You will work on Spark, DataFusion, and Iceberg, enabling fast, reliable computations across complex workloads. As part of a production-focused team, you will participate in design, code review, testing, and release, ensuring

Responsibilities

• Write new planning rules and features for data processing systems.

Skills

Distributed systems

Performance optimization

Strong CS background

Large-scale data processing

Tools

Apache Spark

Apache Iceberg

Apache DataFusion

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 optimised, 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.

Working alongside experienced engineers, you will take on real problems in our production systems. That could mean writing a new planning rule, adding a capability to a native execution engine, or making large tables faster to scan. You will see your work through design, code review, testing, and release. Correctness, compatibility, and predictable performance are central to everything we build, and you will learn how to deliver all three.

Join us if you want to learn how modern data systems work from the inside and apply that knowledge to consequential problems.