[Hiring] Senior Data Engineer @Nansen.ai

Role Description

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
• 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

Qualifications

• 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

Benefits

• 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

Company Description

Nansen is the onchain analytics platform traders and funds use to see what's actually happening on-chain. We label and track 500M+ blockchain addresses, the largest such dataset in the industry.

Our mission: Surface the signal and create winners.