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.

• 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
• Industry-standard build tooling, including Gradle, Cargo, and GitHub.

• Designing and implementing query planning and optimization capabilities that turn complex computations into efficient execution plans
• Extending execution engines with new capabilities and improving query operators, parallelism, memory management, and data movement
• Developing Foundry’s Iceberg catalog and engine integrations, including table metadata, transactions, and efficient reads and writes
• Building shared transformation semantics and execution interfaces for workloads across Foundry’s products and platform services
• Improving incremental processing so pipelines can reuse previous results and process new data efficiently while preserving correctness
• Evaluating and integrating advances in open-source data systems, validating their behavior and performance against real-world workloads
• Investigating correctness and performance issues across planning, execution, and storage, and building tests and benchmarks that prevent regressions
• Working with product teams and customers to translate operational needs into engine capabilities that integrate with Foundry’s security, data management, and build infrastructure.

• Ownership mindset and a high bar for correctness. Our systems support decisions and operations that customers depend on.
• Curiosity about how data systems work, from query optimizers and execution operators to table formats and distributed processing.
• Strong debugging skills and motivation to follow a problem across languages, services, and layers of the stack.
• A practical approach to performance, grounded in profiling, representative workloads, and measurable improvements.
• Interest in applying deep systems engineering to real-world problems, with empathy for the people who use and depend on our software.
• Experience building or extending systems such as Spark, DataFusion, Iceberg, or comparable technologies, and an interest in learning across the stack.
• Ability to collaborate across teams and work effectively with the open-source projects we build on. Experience contributing to open-source projects is valued, but not required.

• 4+ years of professional software engineering experience building and operating production systems.
• Engineering background in Computer Science, Mathematics, Software Engineering, Physics, or a similar field, or equivalent practical experience.
• Strong coding skills with demonstrated proficiency in one or more languages such as Java, Rust, Scala, or C++.
• Experience developing database engines, distributed data processing systems, storage systems, or comparable infrastructure, with depth in areas such as query planning, execution, or performance optimization.
• Strong foundations in algorithms, data structures, and concurrency, with experience diagnosing correctness and performance problems in complex systems.
• Strong written and verbal communication skills and the ability to work effectively across teams, incorporate feedback, and hold a high bar for quality.

Salary

The estimated salary range for this position is estimated to be $135,000 - $200,000/year. Total compensation for this position may also include Restricted Stock units, sign-on bonus and other potential future incentives. 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 potential sign-on bonus; the value of any benefits offered; and the potential future value of any long-term incentives.

Our benefits aim to promote health and wellbeing across all areas of Palantirians’ lives. We work to continuously improve our offerings and listen to our community as we design and update them. The list below details our available benefits and some of the perks that can be enjoyed as an employee of Palantir Technologies.

• Employees (and their eligible dependents) can enroll in medical, dental, and vision insurance as well as voluntary life insurance
• Employees are automatically covered by Palantir’s basic life, AD&D and disability insurance
• Commuter benefits
• Relocation assistance
• Take what you need paid time off, not accrual based
• 2 weeks paid time off built into the end of each year (subject to team and business needs)
• 10 paid holidays throughout the calendar year
• Supportive leave of absence program including time off for military service and medical events
• Paid leave for new parents and subsidized back-up care for all parents
• Fertility and family building benefits including but not limited to adoption, surrogacy, and preservation
• Stipend to help with expenses that come with a new child
• Employees can enroll in Palantir’s 401k plan

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.

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) .