Data Engineer

What you’ll do at Nansen You'll work with data engineers and ML engineers to build the data infrastructure that powers Nansen's customer-facing analytics product. Design, build, and scale data pipelines and infrastructure in ClickHouse, Postgres, Python, and dbt Run the pipelines behind 500M+ labeled addresses, moving terabytes of streaming and batch data every day Partner with crypto researchers, software engineers, and product to shape how data gets modeled, surfaced, and productized Own data quality, reliability, and observability end-to-end. At most analytics companies a wrong number is a support ticket. Here, it's a position someone took. Mentor other data engineers and raise the technical bar across the team Use AI tools and agents to move faster and cut the busywork out of your day What we're looking for You've shipped and scaled high-performance data systems in production Deep expertise in SQL and Python, with real hands-on experience in dbt, ClickHouse, and Postgres Strong grasp of streaming data architectures, comfortable operating at genuine scale You work the full data stack: ingestion, transformation, storage, modeling, serving You already build with tools like Cursor, Claude Code, and MCPs You write clearly. This team is remote and async, so most decisions get made in writing Bonus: experience leading or managing projects in a smaller team, fluency in onchain data structures, Web3 technologies, and crypto markets What we offer our crew Competitive salary. Meaningful equity. Real ownership in what you build Fully remote with support for in-person co-location Annual company retreat and team off-sites in Singapore, Bangkok, or Oslo, with flights and accommodation covered Unlimited AI tokens Your own OpenClaw for work Nansen Pro account: full access to the most detailed onchain data in the market Speed, ownership, curiosity, courage, transparency, simplicity A front-row seat (and a hand in building) the next chapter of finance Work visa sponsorship is not provided for this role. Safe return doubtful. Honour and recognition in case of success.