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Dune is seeking a data platform engineer to architect and scale our distributed data systems. You will define interfaces, model domain workflows, and drive end-to-end ownership of critical data components in a remote-first setup.
You will work across Go, Kotlin, Rust and Python, tackling large-scale ingestion, processing, and storage. Strong CS fundamentals and distributed systems experience are essential for success in a fast-paced, globally distributed team.
About the company
the company is on a mission to make crypto data accessible. We're a collaborative multi-chain analytics platform used by thousands of developers, analysts, & investors to understand the on-chain world and the frontiers of finance. We're a team of ~60 employees, working together across Europe and eastern US timezones. We believe in our mission, and in building a powerful, open product that allows individuals and communities to do deep research into important ecosystems like Bitcoin, Ethereum, Solana, and many more.
We're backed by some of the world's best investors. In February 2022, we announced our Series B funding round led by Coatue and Union Square Ventures, an important milestone that allowed us to double down on our mission. We're using the funds to educate, reward and empower a new generation of onchain analysts aka Wizards
If you want to have one of the highest impact jobs on the planet, come join our wonderful team of Galaxy brains.
Learn more about us:
You are a strong generalist with real computer science fundamentals, and you use them to adapt quickly to new technologies and problem spacesYou reason from first principles: you make assumptions explicit, identify the constraints and invariants that matter, and derive the solution rather than reaching for a familiar pattern.You use computer science fundamentals as practical tools. You have designed and shipped distributed data systems, making their contracts, state transitions, invariants, and failure modes explicit. You know their fault models and scaling weaknessesYou are comfortable with ambiguity : you will talk to product, to customers, and to the team, then commit to a scope and defend itYou use AI tools well enough that they have changed how you work, you understand their failure modes and dislike ai-slop.You communicate clearly in writing and get the best out of a distributed team
Experience with data lakes and formats such as Parquet, Iceberg or DeltalogExperience at a company where the data is the product
We are dedicated to building a diverse, inclusive, and authentic workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
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