Senior Data Engineer; Fully Remote

• Design and build scalable, high-throughput data pipelines and platform systems for blockchain data across 30+ chains.
• Build backend data services and loaders in Go and Python.
• Design and evolve data models and analytical workloads in Click House, and tune them for sub-second queries.

• 5+ years building and operating production data systems, including ETL and ELT pipelines, with at least two years owning systems that other engineers depend on.
• Expert Python and strong SQL, with experience in asyncio and concurrency, and built incremental data models over billions of rows.
• Go for backend services, Click House and Databricks in production.

• You'll join a small, senior team where everyone owns their work end to end.
• We make decisions based on measured evidence, not opinion.
• We use AI coding tools every day, and we use judgement when reviewing what they produce.

• We care about your well-being and offer excellent health insurance, flexible time off, learning & development initiatives.
• We reward talent and believe in acknowledging people for their contributions with industry-leading compensation and generous equity.
• We regularly host team-building sessions and encourage discussions around mental health.

Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon, and the company has raised over US $27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others.