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Join Nansen as a Senior Data Engineer to build and scale data pipelines for on-chain analytics. Work with a team to enhance data quality and reliability while mentoring others.
Nansen is the onchain analytics platform traders and funds use to see what's actually happening on-chain, labeling and tracking 500M+ blockchain addresses — the largest such dataset in the industry. You'll work with data engineers and ML engineers to build the data infrastructure that powers Nansen's customer-facing analytics product. This seat starts as an IC with a clear path to Engineering Manager within 12–18 months for the right person.
☑️ What you'll do
- 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
☑️ 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
- Bonus: experience leading or managing projects in a smaller team; fluency in onchain data structures, Web3 technologies, and crypto markets