Job 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. 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. Technologies We Use Java, Scala, Rust, and Python Apache Spark, Apache DataFusion, Apache Comet, and Velox for data processing and query execution Apache Iceberg for table management and catalog interoperability Apache Arrow and Apache Parquet for in-memory data processing and columnar storage Gradle and Cargo for builds, and GitHub for collaboration You do not need prior experience with these technologies. We expect you to learn them here. What We Value Curiosity about how data systems work, from query optimizers and execution operators to file formats and distributed processing A high bar for correctness and a willingness to dig until you understand why something behaves the way it does Comfort following a problem across languages, services, and layers of the stack A practical approach to performance, grounded in measurement rather than intuition Eagerness to learn, ask questions, and incorporate feedback Interest in applying deep systems engineering to real-world problems, with empathy for the people who depend on our software What We Require Currently pursuing or recently completed a Bachelor's, Master's, or PhD in Computer Science, Mathematics, Software Engineering, Physics, or a similar field, or equivalent practical experience Proficiency in at least one language such as Java, Rust, Scala, C++, or C Strong foundations in algorithms, data structures, and concurrency Strong written and verbal communication skills Coursework or projects in databases, compilers, operating systems, or distributed systems Contributions to open-source projects Must be planning on graduating in 2028. This should be your final internship before graduating. Salary The estimated salary range for this position is estimated to be $10,500/month. Further note that total compensation for this position will be determined by each individual’s relevant qualifications, work experience, skills, and other factors. This estimate excludes the value of any benefits offered; and the potential future value of any long-term incentives. Life at Palantir We want every Palantirian to achieve their best outcomes, that’s why we celebrate individuals’ strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians’ lives is just one of the ways we’re investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region. In keeping consistent with Palantir’s values and culture, we believe employees are “better together” and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for “Remote” work on an exceptional basis. If you are applying for one of these roles, you must work from the state in which you are employed. If the posting is specified as Onsite, you are required to work from an office. If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are proud to be an Equal Opportunity Employer for all, including but not limited to Veterans and those with disabilities. Palantir is committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process , please reach out and let us know how we can help. Please note that you will never be asked to submit a payment or share financial information to participate in our interview process. If you suspect that you've been contacted by a scammer, we recommend you cease all communication with the individual and consider reporting them to the relevant authorities, such as the US FBI Internet Crime Complaint Center (IC3) . If you would like to understand more about how your personal data will be processed by Palantir, please see our Privacy Policy .

Requirements

Must-haves

A World-Changing Company
Join us if you want to learn how modern data systems work from the inside and apply that knowledge to consequential problems.
Technologies We Use
Java, Scala, Rust, and Python
Apache Spark, Apache DataFusion, Apache Comet, and Velox for data processing and query execution
Apache Iceberg for table management and catalog interoperability
Apache Arrow and Apache Parquet for in-memory data processing and columnar storage
Gradle and Cargo for builds, and GitHub for collaboration
You do not need prior experience with these technologies. We expect you to learn them here.
What We Value
Curiosity about how data systems work, from query optimizers and execution operators to file formats and distributed processing
A high bar for correctness and a willingness to dig until you understand why something behaves the way it does
Comfort following a problem across languages, services, and layers of the stack
A practical approach to performance, grounded in measurement rather than intuition
Eagerness to learn, ask questions, and incorporate feedback
Interest in applying deep systems engineering to real-world problems, with empathy for the people who depend on our software
What We Require
Currently pursuing or recently completed a Bachelor's, Master's, or PhD in Computer Science, Mathematics, Software Engineering, Physics, or a similar field, or equivalent practical experience
Proficiency in at least one language such as Java, Rust, Scala, C++, or C
Strong foundations in algorithms, data structures, and concurrency
Strong written and verbal communication skills
Coursework or projects in databases, compilers, operating systems, or distributed systems
Contributions to open-source projects
Must be planning on graduating in 2028. This should be your final internship before graduating.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

javarustpython

Platform: lever
Effort: quick