Senior Data Engineer

Responsibilities

• 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

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