Senior Data Engineer

📋 Description

• You will work with data engineers and ML engineers to build the data infrastructure powering
• Design, build, and scale data pipelines and infrastructure in ClickHouse, Postgres, Python, and dbt.
• Run pipelines behind 500M+ labeled addresses, moving terabytes of streaming and batch data daily.
• Partner with crypto researchers, software engineers, and product to shape data modeling, surfacing
• Own data quality, reliability, and observability end-to-end.
• Mentor other data engineers and raise the technical bar across the team.

🎯 Requirements

• Shipped and scaled high-performance data systems in production.
• Deep expertise in SQL and Python, with hands-on experience in dbt, ClickHouse, and Postgres.
• Strong grasp of streaming data architectures, comfortable at genuine scale.
• Work the full data stack: ingestion, transformation, storage, modeling, serving.
• Experience building with Cursor, Claude Code, and MCPs.
• Excellent written communication; team is remote and async.

🎁 Benefits

• Competitive salary. Meaningful equity. Ownership in what you build.
• Fully remote with support for in-person co-location.
• Annual retreats and team off-sites, flights and accommodation covered.
• Unlimited AI tokens and tools for work.
• Early access to detailed onchain data with Nansen Pro.
• Fast-paced, transparent, collaborative culture with a front-row seat to the next chapter of finance.