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Software Engineer, Internship - Query Engines
Posted by Palantir on 19 October 2026. Still on their Lever board when we checked 59 min ago. Half of Palantir's roles come down within 276 days.
What the posting is about
Work on data processing infrastructure for Palantir Foundry, contribute to open-source data technologies, collaborate with experienced engineers to solve real-world problems.
Read out of the posting
LevelNot stated
Experience askedNot stated
Employmentinternship
LocationNew York, NY
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-10-19
Found vialever, direct from their system
We had it within the hour it went up.
The posting, as the company wrote it
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.
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.
Copied from Palantir’s own board, not rewritten. Original ↗
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