Stateside Spec Engineering jobs in the United States

Palantir

Software Engineer – Query Engines

New York, NY · On-site · Unspecified

Discipline
Software
Industry
Government

Spec sheet

Automatically summarized from the employer’s posting. Check the original description below for full requirements.

Dev

Palantir seeks a Software Engineer in New York, NY to work on query engines and data processing for Palantir Foundry. The role involves designing and implementing improvements to planning, execution, and large-table scans across open-source engines like Spark, DataFusion, and Iceberg.

Required

  • software engineering
  • query engines
  • data processing infrastructure
  • Apache Spark
  • DataFusion
  • Iceberg
  • planning rule
  • execution engine

Preferred

  • distributed systems
  • systems optimization
  • large-scale data processing
  • Foundry or similar platforms
  • Rust/Java/Scala
  • performance tuning

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Employer 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.

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