Analytics Engineer

Overview

Ready to be pushed beyond what you think you’re capable of?

At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system.

To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up.

We want someone who will run towards, not away from, solving the company’s hardest problems.

Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be.

While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported.

• Build and maintain the Regulatory Data Mart as the single source of truth for regulatory reporting across Coinbase's international entities, handling the nuances of multi-entity, multi-jurisdiction reporting
• Enable compliance stakeholders to self-serve regulatory data needs rather than depending on ad-hoc data pulls
• Build AI-driven workflows that automate regulatory reporting while maintaining the highest accuracy standards
• Ensure Coinbase meets regulatory reporting SLAs and stays compliant across international markets
• Own end-to-end data quality through data contracts, validation checks, and monitoring

• Design and build data models that serve as the foundation for regulatory reporting, with the entity-level granularity and definitions regulators require
• Build and maintain data quality checks, monitoring, and data contracts; implement reconciliation against prior submissions
• Write specs and definitions that AI tools use to generate pipelines and answer regulatory questions accurately
• Standardize regulatory metric definitions, entity-specific nuances, and historical reporting decisions into durable, machine-readable formats
• Partner with Compliance, Legal, and Business Operations to translate regulatory requirements into data models, and with upstream Engineering to ensure accurate, well-contracted source data
• Shift progressively from handling regulatory data requests toward building automated, self-serve solutions that reduce manual effort over time
• Maintain clear, structured documentation of business logic optimized for AI agent consumption, so agents can reliably trace and query regulatory data end-to-end

• You think in systems, not tasks: When something is broken or a data request lands, you move toward it and ask "how do I make sure no one ever has to do this manually again?"
• You treat AI as your first collaborator: You break problems down, delegate execution to agents, and focus on what requires human judgment. You design data, metadata, and documentation so agents can reason over them without human translation. You ve developed the taste to know when AI output is correct vs. just convincing
• You learn fast in unfamiliar territory: You pull knowledge from people, docs, and data quickly and turn tribal knowledge into durable infrastructure. You understand that building the right platform means doing the work manually first to learn the patterns worth automating
• You choose accuracy over speed and it shows: Regulatory data cannot be wrong. Data contracts, validation frameworks, quality checks. You know that trust is earned through rigor, especially when agents are generating the pipelines
• You're strong in the analytics engineering fundamentals: Advanced SQL, Python, data modeling (star/snowflake, OBTs, SCDs), pipeline development (dbt, Airflow),…