Data Engineer

About Dune

Dune is on a mission to make crypto data accessible. We're a collaborative multi-chain analytics platform used by thousands of developers, analysts, & investors to understand the on-chain world and the frontiers of finance. We're a team of ~60 employees, working together across Europe and eastern US timezones. We believe in our mission, and in building a powerful, open product that allows individuals and communities to do deep research into important ecosystems like Bitcoin, Ethereum, Solana, 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 allowed us to double down on our mission. We're using the funds to educate, reward and empower a new generation of onchain analysts aka Wizards.

If you want to have one of the highest impact jobs on the planet, come join our wonderful team of Galaxy brains.

About the Role

Dune's data team turns raw on-chain activity into trustworthy, reusable datasets that power dashboards, products, and research. We're hiring a Data Engineer to build and operate reliable pipelines, model complex protocol mechanics into durable schemas, and scale curated datasets across chains. You'll collaborate with product and our customers, bringing strong data engineering fundamentals and curiosity, with blockchain data intuition as a plus.

Responsibilities

• Design, implement, and maintain data pipelines that standardize how on-chain data is consumed by Dune customers
• Establish the right architecture to ensure data quality and timely delivery, including validation gates, SLAs, observability, and lineage-aware deployments
• Triage, analyze, and fix pipeline issues independently, driving root-cause analysis and long-term reliability improvements
• Own end-to-end transformation pipelines with robust testing, CI, documentation, and cost awareness from raw to curated layers
• Build and orchestrate reliable pipelines using modern schedulers and control planes to handle high-volume community contributions
• Partner with product, go-to-market, and community contributors to unlock clear user value and faster time to insight
• Replicate curated datasets efficiently into Kafka, Snowflake, BigQuery, and Databricks with appropriate partitioning, compression, and change data capture strategies

Requirements

• Strong SQL skills and experience modeling large datasets in modern warehouses, with expertise in at least one of Trino, Snowflake, or ClickHouse
• Proficiency in Python for pipeline development, tooling, and automation
• Proven track record operating robust pipelines and orchestration with tools like Prefect, Airflow, Elementary, or similar
• Solid computer science fundamentals, system design skills, and experience in public cloud and container orchestration (e.g., Kubernetes)
• Ability to analyze, debug, and resolve data pipeline and modeling issues independently in a remote, async environment
• Strong blockchain data intuition, including reading transactions, events, and traces
• Interest in query engine internals and performance optimization
• Experience with data lakes, large-scale data processing, and systems performance
• Familiarity with CI for data, observability, cost optimization, and leveraging AI tools to accelerate development and operations

Benefits & Perks

• A competitive salary and equity package (top 25% of companies in the space)
• Employee equity scheme with discounted strike price and 10-year exercise window
• 5 weeks PTO + local public holidays
• Fully remote-first approach with flexible working hours
• Private medical insurance, dental & vision coverage
• Paid parental leave (16 weeks primary, 6 weeks secondary caregivers)
• Quarterly company offsites in exciting locations
• Yearly travel allowance for team collaboration
• Home office setup allowance
• Awesome Dune swag

We are dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't align perfectly with every qualification, we encourage you to apply anyway.