Analytics Engineer

Coinbase is a leading company in the financial technology sector focusing on increasing economic freedom. The Analytics Engineer will build and maintain data foundations for regulatory compliance, ensuring data integrity and supporting audits while collaborating with engineering teams.

Responsibilities:

• Own end-to-end development of production-grade data models and pipelines at the core of the CDM, covering user, transaction, and compliance data across retail and institutional product lines, from architecture through deployment and maintenance
• Build data quality checks, data contracts, validation logic, and monitoring that protect data integrity before issues propagate to downstream reports or workflows
• Partner with upstream engineering teams to fix data gaps and absorb product changes at the source, taking accountability for data issues anywhere in the stack rather than passing them downstream
• Support live regulatory exams, audits, and ad hoc regulator requests with accurate, timely data, balancing time-sensitive reactive work with long-term foundational projects
• Automate recurring manual workflows into scalable pipelines and self-serve tooling, enabling downstream teams and AI agents to answer their own questions

Requirements:

• 2+ years of experience building and maintaining production data pipelines and data models, with strong proficiency in SQL, Python, dbt, and a modern warehouse platform (Snowflake, Databricks, or similar)
• Track record implementing data quality frameworks including data contracts, validation logic, reconciliation, and monitoring to catch issues before they reach downstream reports
• Experience supporting time-sensitive, high-stakes data needs (regulatory exams, audits, or financial reporting) where accuracy and timeliness are non-negotiable
• Demonstrated ability to turn tribal knowledge and recurring manual workflows into durable, documented infrastructure
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality