Polars is the next generation of DataFrames. We don’t take the easy route and build from the ground up, controlling every element allows us to create a superior solution. Our open-source implementation is one of the fastest growing data projects on GitHub and has over 30 thousand stars and 100 million downloads to date.
We believe data processing should be a seamless experience from working locally on your development machine to an enterprise production environment. There should be one framework to learn for data practitioners, removing the need for rewriting code when going to production.
As a member of the compute team you’ll be responsible for the performance of our query engines. You’ll discuss optimization techniques ranging from isolated bit fiddling tricks to central design changes with your team members. But theory is one thing, the actual implementation is where the true answer lies. You like programming and bringing ideas into fruition. Your code directly impacts the speed of millions of queries every day in an active community with direct feedback.
- Experience with a low level programming language, preferably Rust
- Strong fundamentals in systems programming
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Experience with profiling (e.g. samply) and optimization techniques
- Able to work in small team with autonomy and responsibility
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An important role in a high-growth startup allowing plenty of growth opportunities in diverse directions
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Chance to work with and learn from a small strong technical team passionate about data processing and software engineering
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Competitive salary
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Stock option package
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Flexible working hours
