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Posted 1 mo agoFirst seen 27 d ago
Software Engineer – Query Engines
Posted by Palantir on 22 September 2026, 41 days ago. Still on their Lever board when we checked 9 min ago. Half of Palantir's roles come down within 273 days.
What the posting is about
Build software at scale to transform how organizations use data. Collaborate with diverse teams to understand customer problems and build solutions. Opportunity to work directly with users and gain real-world insights through the Frontline program.
Read out of the posting
LevelNot stated
Experience asked3+ years
EmploymentFull time
LocationLondon, United Kingdom
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-09-22
Found vialever, direct from their system
We saw it 14 days after 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.
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.
Copied from Palantir’s own board, not rewritten.
Also open at Palantir
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