Staff Software Engineer - Curated Data

As a Staff Software Engineer - Curated Data at Dune, you own the architecture and implementation of the control plane that manages our entire curated data lifecycle. You join the Data Products team, which builds and owns datasets end to end: from raw chain data through decoding to the 3000+ models and 4 petabytes we curate and share with customers. This is a hybrid role: a backend engineer who thinks in systems and contracts, working on data infrastructure at scale.

What you'll do

• 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

What you bring

• You are a backend engineer who has gone deep on data systems, or a data engineer who became a strong software engineer, and you ship production services, not only pipelines
• You have built or materially extended orchestration and scheduling systems, and can explain precisely what breaks at scale and why
• You have handled schema evolution and data correctness in a system with real consumers downstream, where a breaking change has a cost
• You have built or operated stateful stream processing in production, such as Flink, Kafka Streams, Spark Structured Streaming, RisingWave, Materialize, or Feldera
• You have strong SQL and modeling skills on large datasets, and an interest in how the query engine underneath actually executes your work
• You have solid computer science fundamentals and distributed systems understanding
• You debug independently and drive root cause analysis to a fix that holds
• You use AI tools well enough that they have changed how you work, and you understand their failure modes
• You communicate clearly in writing and get the best out of a distributed team

Nice to have

• Deep experience with a transformation framework such as dbt or SQLMesh, specifically having hit its limits and built beyond them
• Data lake formats such as Parquet, Iceberg or Deltalog
• Experience at a company where the data is the product

What we offer

• Competitive salary and equity package, both in the top 25% of companies in the space, with employee-friendly terms including a heavily discounted strike price (approximately 90% discount) and a 10-year exercise window
• 5 weeks PTO plus local public holidays, which can be swapped to suit you
• Fully remote-first work with flexible working hours in a distributed team across Europe and eastern US timezones
• A healthy mix of async and sync work to help you focus on what truly matters
• Private medical insurance, dental and vision coverage as standard
• Paid parental leave: 16 weeks for primary caregivers and 6 weeks for secondary caregivers, fully paid, plus a 2-week part-time phased return at full pay
• Quarterly team offsites in exciting locations to connect and work together
• A yearly travel allowance to connect and co-work with colleagues for a few days
• An allowance for your at-home setup, or payment for a local co-working desk if you prefer

About Dune

Dune is the industry standard for onchain data, providing blockchain data and intelligence to over 1000 industry leaders including Visa, WisdomTree, FINRA, the IMF, Bloomberg, Coinbase, and the Financial Times. We deliver structured datasets spanning stablecoins, RWAs, tokens, lending, trading, and more across 130+ chains. We are a team of around 50 people spread across Europe and the eastern US, backed by top-tier investors including Coatue and Union Square Ventures.