Senior Data Engineer
Full-time
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.
Vacancy posted 1 day ago
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