Staff Engineer, Market Data Platform
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Job Description
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Dune is building market data solutions for institutional customers who need timely, accurate, and reliable financial data they can depend on. Our team turns onchain activity into realtime feeds and associated reference data along with historical data capture.
You will work on our new market data platform, and help shape how it evolves to support the growing features and customer base. You’ll design systems that can grow across chains, protocols, and product capabilities while making clear decisions about correctness, latency, reliability, and cost.
This is a hands-on Staff Engineer role. You will be expected to turn ambiguous requirements into designs and deliverable work, implement difficult parts yourself, and help other engineers own meaningful parts of the platform. AI-assisted development is a core part of how we expect you to work, paired with strong engineering judgment and ownership of what you ship.
In this role you will:
- Design and build distributed systems for ingestion, normalization, processing, storage, and delivery of realtime market data from blockchain and other relevant sources.
- Build and operate streaming solutions that handle event ordering, timestamps, duplicates, replay, gaps, and recovery, including blockchain reorganizations and finality where they affect customer data.
- Build reliable client feeds and APIs with clear delivery contracts, schema evolution, access controls, and predictable behavior under load or when consumers fall behind.
- Partner with teams across Dune on reference data models and historical data capture.
- Define and improve service objectives and data quality measures.
- Instrument latency, freshness, completeness, and correctness, and turn incidents into lasting improvements in recovery and operations.
- Debug independently and drive root cause analysis to a fix that holds.
- Own services through deployment and production support, including participation in the team’s on-call rotation.
- Use AI throughout development: explore designs, implement changes, build tests, investigate failures, and improve documentation. Develop repeatable workflows and share what works with the team.
- Lead technical decisions across team boundaries, write clear designs, and mentor engineers through implementation and review.
You might be a great fit if:
- You have built and operated distributed backend or data services with demanding reliability and performance requirements. You understand their failure modes and can debug problems across service and data boundaries.
- You have experience with realtime streaming systems, including concurrency, state management, backpressure, and recovery. You care about data correctness, from timestamps and numeric precision to schema changes and corrections.
- You have strong computer science fundamentals and backend engineering skills. Experience in Rust, Go or comparable languages is also valuable.
- You turn ambiguous requirements into pragmatic designs and production services, and help other engineers deliver parts of the solution.
- You communicate clearly in writing and work effectively with a distributed team.
- Financial or market data experience at a financial institution.
Not required but a plus:
- Onchain data experience: blockchain indexing such as with EVM or Solana.
- Reference data experience: instrument and entity masters, identifier mapping, effective-dated records, or tokenized asset and fund data.
- Experience at a company where the data is the product.
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Dune Analytics
View Company ProfileDune Analytics (operating at dune.com) is a blockchain data platform engineered for developers, analysts, and institutions seeking real-time, normalized insights across decentralized finance (DeFi), tokenized assets, and onchain activity. Founded in 2018 by Fredrik and Mats in Oslo, Norway, Dune Analytics emerged from the nascent crypto industry, addressing a critical gap: the lack of accessible, standardized datasets for blockchain ecosystems. Under the hood, the platform aggregates raw onchain data from public blockchains, processes it into structured tables, and delivers it via a user-friendly interface—eliminating the need for manual scripting or proprietary APIs. This allows traders, researchers, and DeFi protocols to query historical and live metrics (e.g., TVL, liquidity trends, or smart contract interactions) with SQL-like simplicity. Backed by $79.4M in funding from investors like Union Square Ventures, Coatue, and DRAGONFLY, Dune Analytics has scaled to a $1B valuation, serving a community of over 100,000 monthly active users.
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