Staff Software Engineer - Curated Data

About DuneDune 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 Visionhttps://dune.com/blog/dune-visionValues and working at Dunehttps://dune.com/careersAbout the roleData 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 willDesign and build the control plane for our curated data lifecycle: dependency-aware orchestration, backfills, restatements, retries, partial failure, and recoveryDecide, dataset by dataset, whether the answer is a model, a service or a job, and own that architecture through productionDesign the contracts between ingestion and curation so a dataset can be reasoned about end to endBuild alerting and data quality signals that catch real problems and stay quiet otherwise, so on-call is about incidents rather than noiseWork across Go, Kotlin, Rust, Python and SQL, choosing the right tool rather than the familiar oneBreak large problems into work other engineers can own, and sequence it so we ship something useful earlyYou might be a great fit ifYou are a backend engineer who has gone deep on data systems, or a data engineer who became a strong software engineer. You ship production services, not only pipelinesYou have built or materially extended orchestration and scheduling systems, and can explain precisely what breaks at scale and whyYou have handled schema evolution and data correctness in a system with real consumers downstream, where a breaking change has a costYou have built or operated stateful stream processing in production (Flink,Kafka Streams, Spark Structured Streaming, RisingWave, Materialize, Feldera)You have strong SQL and modeling skills on large datasets, and an interest in how the query engine underneath actually executes your workYou have solid computer science fundamentals and distributed systems understandingYou debug independently and drive root cause analysis to a fix that holdsYou 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 teamNot