Staff Software Engineer, Data Products - Dune

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, tokens, lending, trading, and payments, 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 team of ~50, working together across Europe and eastern US timezones. We believe in building open, verifiable data that lets individuals and institutions do deep research into ecosystems like Bitcoin, Ethereum, Solana, and many more.

We're backed by top investors, including our Series B funding round led by Coatue and Union Square Ventures.

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, and propagating corrections. This 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 handed ambiguous product requirements who comes back with a design, a sequence, and work the team can pick up, while building the hardest parts yourself.

Key Responsibilities

• 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.
• Work across Go, Kotlin, Rust, Python, and SQL, choosing the right tool for the problem.
• Break large problems into work other engineers can own, sequencing it to ship value early.

Requirements

• Backend engineering background with deep data systems expertise, or data engineer turned strong software engineer (shipping production services, not just pipelines).
• Track record of building or materially extending orchestration and scheduling systems, with clear understanding of failure modes at scale.
• Experience handling schema evolution and data correctness in systems with downstream consumers where breaking changes have a real cost.
• Experience building or operating stateful stream processing in production (e.g., Flink, Kafka Streams, Spark Structured Streaming, RisingWave, Materialize, Feldera).
• Strong SQL and modeling skills on large datasets, plus deep interest in query engine execution mechanics.
• Solid computer science fundamentals and distributed systems understanding.
• Ability to debug independently and drive root cause analysis to reliable fixes.
• Effective use of AI tools while maintaining high standards against AI-generated slop.
• Clear written communication skills in a distributed team setting.

Nice to Have

• Deep experience with transformation frameworks such as dbt or SQLMesh (especially pushing beyond their default limits).
• Familiarity with data lake formats such as Parquet, Iceberg, or Delta Lake.
• Experience at a company where data is the core product.

Perks & Benefits

• Competitive salary and equity package (top 25% of market).
• Employee equity scheme with heavily discounted strike price (~90%) and 10-year exercise window.
• 5 weeks PTO + flexible local public holidays.
• Remote-first workplace with flexible hours and focus on async communication.
• Private medical, dental, and vision insurance.
• 16 weeks fully paid primary parental leave / 6 weeks secondary leave, plus a 2-week phased return.
• Quarterly company/team offsites and annual co-working travel allowance.
• At-home setup allowance or local co-working desk stipend.