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Job Description
About Dune Dune's mission is to make onchain finance observable. We're the industry standard for onchain data: a blockchain data and intelligence provider that institutions, protocols, and analysts trust to understand the onchain world and the frontiers of finance. We deliver structured datasets, spanning stablecoins, RWAs, tokens, lending, trading, and more, from 130+ chains and counting, to 1,000+ industry leaders including Visa, WisdomTree, FINRA, the IMF, Bloomberg, Standard Chartered, Coinbase, Forbes, and the Financial Times. We're a tight knit team of ~50 hard working people, spread across Europe and eastern US timezones 🌍️, having an outsized impact on the industry. We take pride in being ambitious and doing world class work while staying humble and lighthearted. We believe in building open, verifiable data that lets individuals and institutions do deep research into ecosystems like Ethereum, Solana, Robinhood 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 let us double down on our mission. If you like being challenged and want to work together with a brilliant team on an important mission, come join us. Learn more about us: Dune's Vision https://dune.com/blog/dune-vision Values and working at Dune https://dune.com/careers About the role Data Products builds and owns datasets end to end: from raw chain data through decoding to the 3000+ models and 4 petabytes we curate, share directly with customers, and replicate into their warehouses. The role will focus on the lifecycle of building high quality data: orchestrating thousands of interdependent models, propagating schema changes without breaking downstream consumers, propagating corrections. That is a software architecture problem in a data domain. This role is a hybrid: a backend engineer who thinks in systems and contracts, working on data. You will be the engineer we hand ambiguous product requirements to, and will come back with a design, a sequence, and work the team can pick up, while building the hardest parts yourself. In this role you will Design and build the control plane for our curated data lifecycle: dependency-aware orchestration, backfills, restatements, retries, partial failure, and recovery Decide, dataset by dataset, whether the answer is a model, a service or a job, and own that architecture through production Design the contracts between ingestion and curation so a dataset can be reasoned about end to end Build alerting and data quality signals that catch real problems and stay quiet otherwise, so on-call is about incidents rather than noise Work across Go, Kotlin, Rust, Python and SQL, choosing the right tool rather than the familiar one Break large problems into work other engineers can own, and sequence it so we ship something useful early You might be a great fit if You are a backend engineer who has gone deep on data