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.
Technologies We Use
Java, Scala, Rust, and Python
Apache Spark, Apache DataFusion, Apache Comet, and Velox for data processing and query execution
Apache Iceberg for table management and catalog interoperability
Apache Arrow and Apache Parquet for in-memory data processing and columnar storage
Gradle and Cargo for builds, and GitHub for collaboration
You do not need prior experience with these technologies. We expect you to learn them here.
What We Value
Curiosity about how data systems work, from query optimisers and execution operators to file formats and distributed processing
A high bar for correctness and a willingness to dig until you understand why something behaves the way it does
Comfort following a problem across languages, services, and layers of the stack
A practical approach to performance, grounded in measurement rather than intuition
Eagerness to learn, ask questions, and incorporate feedback
Interest in applying deep systems engineering to real-world problems, with empathy for the people who depend on our software
What We Require
Currently pursuing or recently completed a Bachelor's, Master's, or PhD in Computer Science, Mathematics, Software Engineering, Physics, or a similar field, or equivalent practical experience
Proficiency in at least one language such as Java, Rust, Scala, C++, or C
Strong foundations in algorithms, data structures, and concurrency
Strong written and verbal communication skills
Coursework or projects in databases, compilers, operating systems, or distributed systems
Contributions to open-source projects
