Senior Data Engineer

We're seeking a Senior Data Engineer to join our team. You'll work on building and scaling data infrastructure that powers our customer-facing analytics product.

Responsibilities:

• Design, build, and scale data pipelines and infrastructure using ClickHouse, Postgres, Python, and dbt
• Manage data pipelines handling 500M+ labeled addresses and terabytes of streaming and batch data daily
• Collaborate with researchers, engineers, and product teams to model, surface, and productize data
• Ensure data quality, reliability, and observability end-to-end
• Mentor other data engineers and elevate the team's technical capabilities
• Utilize AI tools to streamline workflows and reduce busywork

Requirements:

• Experience shipping and scaling high-performance data systems in production
• Expertise in SQL and Python, with hands-on experience in dbt, ClickHouse, and Postgres
• Strong understanding of streaming data architectures and ability to operate at scale
• Proficiency in working with the full data stack: ingestion, transformation, storage, modeling, and serving
• Familiarity with tools like Cursor, Claude Code, and MCPs
• Clear and concise writing skills, with the ability to make decisions in writing
• Bonus: experience leading or managing projects in smaller teams, fluency in onchain data structures, Web3 technologies, and crypto markets

Benefits:

• Competitive salary and meaningful equity
• Fully remote with optional in-person co-location
• Annual company retreat and team off-sites
• Unlimited AI tokens
• Personal OpenClaw for work
• Nansen Pro account with access to detailed onchain data
• Emphasis on speed, ownership, curiosity, courage, transparency, and simplicity
• Front-row seat in building the next chapter of finance