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Software Engineer, Internship - Query Engines

Palantir

Software Engineer, Internship - Query Engines is a still-open role at Palantir on Jobrow. Location: On-site · New York, NY. Sourced from the company's public Lever board. First seen 12 days ago; last confirmed 9 days ago. Apply on the employer ATS — Jobrow is not the employer.

Pay
—
Workplace
On-site
Location
New York, NY
First seen
12 days ago
Last seen
9 days ago
Board
Lever
Apply

About this role

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations.

  • Function: Engineering
  • Seniority: intern
  • spark

Location & pay

On-site · New York, NY No pay range was listed on the public board feed.

Source

Jobrow reads the public Lever board for Palantir. First seen 12 days ago; last seen 9 days ago. We are not the employer — apply only on the company ATS.

Posting

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.

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