Senior Data Engineer

Build and scale the data infrastructure powering Nansen's customer-facing analytics. Design, build and run high-performance data pipelines and infrastructure using ClickHouse, Postgres, Python and dbt; process streaming and batch terabytes daily for 500M+ labeled addresses; own data quality, reliability and observability; collaborate with researchers, engineers and product; mentor other engineers and use AI tools to accelerate work. Requirements: strong SQL and Python, hands-on dbt, ClickHouse and Postgres experience, deep understanding of streaming architectures and production-scale systems; bonus: management experience and onchain/Web3 knowledge.