Senior Data Engineer - Remote-First Crypto Data Pipelines

Nansen; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Competitive compensation

Remote-first culture

Career growth

Job summary

Nansen is seeking a Senior Data Engineer to architect, build, and optimize data infrastructure powering our analytics product. Start as an individual contributor with a clear path to Engineering Manager in 12–18 months.

You will work with data and ML engineers to tackle real-world data challenges used by crypto investors and institutions. Key duties include designing scalable pipelines using ClickHouse, BigQuery, Python, and dbt; processing terabytes of streaming data daily; and mentoring junior

Qualifications

• Proven track record of building and scaling high-performance data systems in production.
• Deep expertise in SQL and Python; hands-on with dbt, ClickHouse and BigQuery.
• Experience with streaming data architectures and large-scale data volumes.
• Strong full-stack data experience from ingestion to serving; async teamwork.

Responsibilities

• Design, build, and scale data pipelines and infrastructure using ClickHouse, BigQuery, Python, and dbt.
• Process terabytes of streaming and batch data daily.
• Collaborate with researchers, backend engineers, and product managers to model and surface data.
• Maintain data quality, reliability, and observability across systems.
• Mentor junior data engineers and promote technical excellence and knowledge sharing.
• Leverage AI tools to accelerate development and boost quality.

Skills

SQL

Python

Data pipelines

Data modeling

Observability

Mentoring

Remote collaboration

Tools

dbt

ClickHouse

BigQuery

Cursor

MCPs

LLMs

Job description

Nansen is seeking a Senior Data Engineer to architect, build, and optimize data infrastructure powering our analytics product. Start as an individual contributor with a clear path to Engineering Manager in 12–18 months.

You will work with data and ML engineers to tackle real-world data challenges used by crypto investors and institutions. Key duties include designing scalable pipelines using ClickHouse, BigQuery, Python, and dbt; processing terabytes of streaming data daily; and mentoring junior