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© All Rights Reserved. ApplyBlast.com
Merkle Science
The Senior Data Engineer at Merkle Science designs, builds, and operates scalable data pipelines and platform systems for blockchain data across multiple chains. This role involves developing backend data services, optimizing analytical workloads, and ensuring the reliability and efficiency of large-scale data infrastructure. The position requires close collaboration with product and analytics teams to translate their needs into robust platform designs.
Headquarters
New York, New York, United States
Company Size
11-50 employees
Founded
2018
Merkle Science is a predictive crypto risk and intelligence platform that helps businesses, banks, and government agencies detect, investigate, and manage crypto-related threats while meeting regulatory compliance. The platform provides real‑time transaction monitoring, risk scoring, sanctions and wallet screening, alerting and investigative/case‑management tools, plus data feeds and APIs to automate compliance workflows. Customers use it for onboarding and transaction surveillance, accelerating investigations, and protecting against fraud, money‑laundering and sanctions exposure. Merkle Science supports major public blockchains and offers customizable rules, threat intelligence, and integrations for exchanges, wallets, payment providers and regulators.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Merkle Science.
Merkle Science didn’t post a salary, so this is our estimate from similar listings.
6% below the average for this role