Remote Freedom

Senior Data Engineer

Nansen

Work from anywhereFull-time4d ago

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Requirements

  • Data Engineer with shipped, scaled high-performance data systems in productionMust
  • Deep expertise in SQLMust
  • Deep expertise in PythonMust
  • Hands-on experience with dbtMust
  • Hands-on experience with ClickHouseMust
  • Hands-on experience with PostgresMust
  • Strong grasp of streaming data architecturesMust
  • Experience operating at genuine scale (terabytes of data)Must
  • Full data stack proficiency: ingestion, transformation, storage, modeling, servingMust
  • Experience with AI tools like Cursor and Claude Code
  • Experience leading or managing projects in smaller teams
  • Fluency in onchain data structures and Web3 technologies
  • Understanding of crypto markets

What you'll do

  • Design, build, and scale data pipelines and infrastructure
  • Run and maintain pipelines processing terabytes of streaming and batch data at scale
  • Partner with researchers, engineers, and product to shape data modeling and productization
  • Own data quality, reliability, and observability end-to-end
  • Mentor other data engineers and raise technical bar across the team
  • Write clearly for remote, async team communication and decision-making

About the role

Talent Wanted. For hazardous journey. Small wages, bitter cold, long months of complete darkness, constant danger, safe return doubtful. Honour and recognition in case of success. Fridtjof Nansen crossed the Arctic, going places no human had ever been. Together with our users, we're doing the same onchain: charting entirely new territory. Nansen is the onchain analytics platform traders and funds use to see what's actually happening on-chain. We label and track 500M+ blockchain addresses, the largest such dataset in the industry. Our mission: Surface the signal and create winners. This seat also comes with a defined runway: you'll start as an IC, with a clear path to Engineering Manager within 12–18 months for the right person. What you'll do at Nansen 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 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, so most decisions get made in writing • Bonus: experience leading or managing projects in a smaller team, fluency in onchain data structures, Web3 technologies, and crypto markets What we offer our crew • Competitive salary. Meaningful equity. Real ownership in what you build • Fully remote with support for in-person co-location • Annual company retreat and team off-sites in Singapore, Bangkok, or Oslo, with flights and accommodation covered • Unlimited AI tokens • Your own OpenClaw for work • Nansen Pro account: full access to the most detailed onchain data in the market • Speed, ownership, curiosity, courage, transparency, simplicity • A front-row seat (and a hand in building) the next chapter of finance Work visa sponsorship is not provided for this role. Safe return doubtful. Honour and recognition in case of success. Originally posted on Himalayas

Sourced from Himalayas. Confirm the details and apply on the employer's site.