ApplyBlast uses AI to match you with the right jobs, tailor your resume and cover letter, and apply automatically so you can land your dream job faster.

Features

Auto Apply Resume Optimizer Cover Letter Optimizer Interview Prep

Company

Social Media

Need Help?

team@applyblast.com

Software Engineer, Internship - Query Engines at Palantir Technologies - ApplyBlast

Software Engineer, Internship - Query Engines

Palantir Technologies

2 days ago

3.6 on Glassdoor

New York, New York, United States

Onsite

Internship

Intern

0 applicants

View Job Listing

Apply to 100+ jobs

About this role

This internship offers a chance to work on data processing infrastructure for Palantir Foundry, optimizing query plans and execution engines using technologies like Apache Spark and DataFusion. The role involves solving real production problems, from writing planning rules to improving table scan performance, while learning about modern data systems. It is designed for students graduating in 2028 seeking to apply systems engineering to consequential problems.

Responsibilities

Write new planning rules and add capabilities to native execution engines
Optimize query plans and improve large table scanning performance
Design, review, test, and release production data processing systems

Skills

Qualifications

Bachelor'sMaster'sPhD

About Palantir Technologies

palantir.com

Headquarters

Miami, Florida, United States

Company Size

1001-5000 employees

Founded

2003

View Profile

Palantir Technologies builds software that integrates disparate data, analytics, and AI into operational workflows so organizations can make faster, more informed decisions at scale. Its flagship platforms—Foundry for commercial data operations, Gotham for government and intelligence, and the AIP suite—offer data integration, modeling, workflow automation, secure governance, and real‑time decisioning. Palantir serves government agencies and enterprise customers across finance, healthcare, energy, manufacturing and defense, and is known for tackling complex, sensitive data problems and deploying mission‑critical analytics into production.