Software Engineer – Query Engines

Palantir is hiring a Software Engineer – Query Engines in London, United Kingdom. Level rates it ; you can apply on Palantir.

Level's read on this job

Little AI ●○○○ is how Level rates this software engineer role: aI is not part of the work.
Level classifies it as a mid-level role.
Level lists 304 other open roles at Palantir.

AI in this role

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. 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.

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

Core Responsiblities

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

What We Value

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.

What We Require

4+ years of professional software engineering 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. Operating on top of these technologies alone does not qualify.
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.

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 city and or country 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 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).

How we rate this

Software Engineer – Query Engines at Palantir rates 15 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.