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# Staff Software Engineer – Market Data

Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.

[Apply for this job](#job-application)[View company](https://jobicy.com/company/dune.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md), [Europe](https://jobicy.com/job-region/europe.md)SalaryUndisclosedDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceSeniorPublished21 Oct 2026Apply before20 Nov 2026Listing views48Application actions2Application toolkit

## Make your next move.

Prepare your resume, explore your fit, and draft a cover letter for this opportunity.

AI Summary

## The role, at a glance.

Dune is hiring a hands-on Staff Software Engineer to build and operate a market-data platform for institutional onchain-finance customers. The role focuses on distributed backend systems for real-time blockchain data ingestion, normalization, processing, storage, and client delivery. The engineer will own reliability, correctness, latency, recovery, service objectives, production operations, and technical decisions across team boundaries. Success requires strong streaming-systems expertise, pragmatic architecture skills, independent debugging, written communication, mentorship, and effective use of AI-assisted development workflows.

## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

5/5EasyHard

### Pace & Pressure

4/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

4/5IndependentCollaborative

AI insightThis is a staff-level role involving correctness-critical, low-latency distributed data systems with complex failure modes such as reorgs, replay, duplicates, ordering, and consumer backpressure. It also carries cross-team technical leadership, production ownership, and on-call responsibilities.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate$220,000US market range (per year)$180k–$270k0$297k

AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer salary range is disclosed. Estimated annual US-market compensation for a staff-level software engineer specializing in real-time distributed market-data systems is $180,000–$270,000 USD, with an estimated midpoint of $220,000 USD; this is an AI estimate, not employer-provided compensation.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Distributed systems](https://jobicy.com/jobs?search_keywords=Distributed%20systems.md)[Real-time data streaming](https://jobicy.com/jobs?search_keywords=Real-time%20data%20streaming.md)[Backend engineering](https://jobicy.com/jobs?search_keywords=Backend%20engineering.md)[Blockchain data](https://jobicy.com/jobs?search_keywords=Blockchain%20data.md)[Market data](https://jobicy.com/jobs?search_keywords=Market%20data.md)[Data ingestion](https://jobicy.com/jobs?search_keywords=Data%20ingestion.md)[API design](https://jobicy.com/jobs?search_keywords=API%20design.md)[Data modeling](https://jobicy.com/jobs?search_keywords=Data%20modeling.md)[Rust](https://jobicy.com/jobs?search_keywords=Rust.md)[Go](https://jobicy.com/jobs?search_keywords=Go.md)[Reliability engineering](https://jobicy.com/jobs?search_keywords=Reliability%20engineering.md)[Incident response](https://jobicy.com/jobs?search_keywords=Incident%20response.md)[Performance optimization](https://jobicy.com/jobs?search_keywords=Performance%20optimization.md)[Technical leadership](https://jobicy.com/jobs?search_keywords=Technical%20leadership.md)[AI-assisted development](https://jobicy.com/jobs?search_keywords=AI-assisted%20development.md)

Sample interview questionsHow would you design a real-time blockchain market-data pipeline that handles duplicates, out-of-order events, and chain reorganizations?I would use durable event logs, idempotent processing keyed by chain, block, transaction, and log identifiers, and explicit watermarking or sequence rules for ordering. I would model provisional versus finalized data, retain replay capability, and issue corrections or retractions when reorganizations occur. Operational metrics would track lag, freshness, completeness, duplicate rates, and reconciliation outcomes.

How do you balance correctness, latency, reliability, and cost in a client-facing market-data platform?

I start by defining delivery contracts and service-level objectives with customers and product stakeholders. I then classify data by criticality and freshness requirements, choose appropriate durability and consistency guarantees, and make trade-offs explicit in the architecture. I use load tests, observability, and cost telemetry to validate that the selected design meets objectives sustainably.

Describe your approach to debugging a production incident that crosses several services and data boundaries.

I first establish customer impact and stabilize the system, then use traces, logs, metrics, and event samples to narrow the fault domain. I compare expected and observed data at each boundary, verify assumptions about schemas, timestamps, retries, and state transitions, and identify the underlying systemic cause rather than only the symptom. After recovery, I add tests, alerts, runbook updates, and design changes that prevent recurrence.

How would you manage schema evolution for APIs and streaming feeds consumed by institutional clients?

I would define versioned schemas with compatibility rules, publish clear contracts, and avoid breaking field changes without a migration path. Additive changes, deprecation windows, consumer documentation, and validation in CI help protect clients. For feeds, I would provide explicit version identifiers and replay or backfill support where customers need to transition safely.

How do you use AI-assisted development while maintaining staff-level engineering quality and accountability?

I use AI to accelerate exploration, implementation scaffolding, test generation, failure investigation, and documentation, but I retain ownership of every architectural and production decision. I validate generated work through code review, targeted tests, benchmarks, security checks, and operational reasoning. I also turn effective practices into repeatable team workflows so AI improves throughput without weakening reliability or engineering judgment.

Opportunity details

## About this role.

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:

About Dune
[https://dune.com/about](https://dune.com/about)

Values and working at Dune

[https://dune.com/careers](https://dune.com/careers)

### About the role

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.

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Build reliable client feeds and APIs with clear delivery contracts, schema evolution, access controls, and predictable behavior under load or when consumers fall behind.

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Partner with teams across Dune on reference data models and historical data capture.

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Define and improve service objectives and data quality measures.

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Instrument latency, freshness, completeness, and correctness, and turn incidents into lasting improvements in recovery and operations.

*

You will 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.

Perks & Benefits

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A competitive salary and equity package 🚀. Both salary and equity is[top 25% of companies](https://notion.so/Careers-at-Dune-Doing-the-best-work-of-your-life-f25e0b5e1f624d2aaf3ef2c81558ea96#7f745f5112394686bd7c127c720f2024) in the space

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Our employee equity scheme has world-class employee-friendly terms with a heavily discounted strike price (~90%) and a 10-year exercise window

*

5 weeks PTO + local public holidays (that can be swapped to suit you) 🏖

*

A fully remote-first approach 🧑‍💻 within a distributed team with flexible working hours; you structure your own day

*

Say goodbye to meeting overload! We believe in a healthy mix of async and sync work, so you can focus on what truly matters—no more wasted time on endless meetings!

*

Good health is important, so we offer private medical insurance, dental & vision as standard 🩺

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We believe in paid parental leave 👶 to help you celebrate this important milestone, transition to your new life, and bond with your new baby. We offer 16 weeks to primary and 6 weeks to secondary caregivers, fully paid. Plus a 2-week part-time phased return at full pay to help you get used to your new (and slightly more complex!) schedule

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Quarterly offsites in various exciting locations as a company or team to connect, work together and have fun (so far in Tuscany 🇮🇹 Berlin 🇩🇪 Austria 🇦🇹 and Athens 🇬🇷).

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On top of this 👆each person gets a yearly travel allowance to connect and co-work with someone or a team of people for a few days.

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An allowance for your at-home setup, to ensure you are happy, comfortable and productive. If you prefer a local co-working space, we’ll pay for your desk.

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An annual allowance for your Learning and Development needs.

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Work with some of the best people you’ll ever get to meet!

*

And of course, you get some awesome Dune swag! ✌️😎

——————————————————————————————

We are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

#LI-Remote

Show more

[Apply now >](https://jobicy.com/jobs/156140-staff-software-engineer-market-data.md)

>  Annual salary information is not provided for this position. Explore salary ranges for similar roles in our [Salary Directory ›](https://jobicy.com/salaries.md)

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