Remote · worldwide, UTC+4 acceptedSalary not disclosedfull-timeVerified 1w agoHimalayas
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.
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
