Software Engineering Intern: Open-Source Data Systems

Candidate

New York (NY)

Sur place

USD 107 000 - 128 000

Plein temps

14 jours+

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Résumé du poste

Palantir invites a software engineering intern in New York to work on data processing platforms and production-grade systems. You will learn how computations are represented, how query plans are optimized, and how data is read and written efficiently.

You will join a team using open-source technologies like Spark, DataFusion, Iceberg, and Arrow, gaining hands-on experience through design reviews, testing, and releases. Graduation in 2028 is required, with potential hybrid/onsite options.

Qualifications

  • Degree or equivalent practical experience; graduating in 2028.
  • Proficiency in Java, Rust, Scala, C++, or C.
  • Strong foundations in algorithms, data structures, and concurrency.
  • Excellent written and verbal communication skills.
  • Coursework or projects in databases, compilers, OS, or distributed systems.
  • Contributions to open-source projects.

Responsabilités

  • Work with a software engineering team on data processing infrastructure.
  • Contribute to planning rules, execution engines, or table formats.
  • Collaborate through design reviews, testing, and releases.
  • Learn how modern data systems operate from the inside.

Connaissances

Programming languages
Algorithms & data structures
Communication skills
Open-source contributions

Formation

Bachelor's/Master's/PhD in CS or related
Graduating in 2028

Outils

GitHub
Gradle
Cargo
Apache Spark
Apache Iceberg

Description du poste

Palantir invites a software engineering intern in New York to work on data processing platforms and production-grade systems. You will learn how computations are represented, how query plans are optimized, and how data is read and written efficiently.

You will join a team using open-source technologies like Spark, DataFusion, Iceberg, and Arrow, gaining hands-on experience through design reviews, testing, and releases. Graduation in 2028 is required, with potential hybrid/onsite options.

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