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Design, build, and maintain production data models and pipelines for the Compliance Data Mart. Implement data quality checks, contracts, validation, and monitoring. Partner with engineering teams to resolve data gaps, support regulatory exams and audits, automate manual workflows, and perform on-call incident triage with clear documentation and runbooks.
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Analytics Engineer
The Compliance Data team, part of Coinbase's Platform organization, builds the trusted, certified data foundations that every regulatory obligation at Coinbase depends on. At the center of our work is the Compliance Data Mart (CDM), Coinbase's canonical source of truth for user, transaction, and compliance data. As an Analytics Engineer, you'll design, build, and maintain the production-grade data models and pipelines that downstream regulatory reporting, analytics, and AI workflows all build on. This is a hybrid role blending data engineering discipline with analytical instincts - you'll build durable foundations while also supporting live regulatory exams, audits, and time-sensitive data requests when regulators come calling.
What you'll do:
The Compliance Data team, part of Coinbase's Platform organization, builds the trusted, certified data foundations that every regulatory obligation at Coinbase depends on. At the center of our work is the Compliance Data Mart (CDM), Coinbase's canonical source of truth for user, transaction, and compliance data. As an Analytics Engineer, you'll design, build, and maintain the production-grade data models and pipelines that downstream regulatory reporting, analytics, and AI workflows all build on. This is a hybrid role blending data engineering discipline with analytical instincts - you'll build durable foundations while also supporting live regulatory exams, audits, and time-sensitive data requests when regulators come calling.
What you'll do:
- Design, build, and maintain the production-grade data models and pipelines at the core of the CDM, covering user, transaction, and compliance data across retail and institutional product lines, owning the full lifecycle from architecture through deployment and maintenance.
- Build data quality checks, data contracts, validation logic, and monitoring that protect the integrity of the foundations before issues propagate into regulatory reports or downstream 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 deadline-driven reactive work with long-term foundational projects.
- Automate recurring manual workflows into scalable pipelines and self-serve tooling, building durable infrastructure that enables downstream teams and AI agents to answer their own questions.
- Perform front-line on-call duties, triage pipeline incidents, contribute to root cause analysis, and maintain clear technical documentation and runbooks.
Required Skills and Experience:
- 2+ years of experience building and maintaining production data pipelines and data models, with daily proficiency in SQL, Python (scripting, automation, OOP), dbt, Airflow, and modern warehouse architecture (Snowflake or Databricks).
- Demonstrated experience with data modeling patterns (star/snowflake schemas, OBTs, SCDs) and building certified or canonical data models that serve multiple downstream consumers.
- 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) while maintaining accuracy standards under pressure.
- Proven ability to work independently, scoping and driving foundational data work end-to-end without waiting for direction, and converting tribal knowledge 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.
Job #: P76808
Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision).
Annual base salary range (excluding equity and bonus):
€122.900—€122.900 EUR
- Application Limit: Candidates may submit a maximum of 4 applications per 30-day period.
- Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.
- US Applicants: View Employee Rights, Know Your Rights, and E-Verify Notice of Participation.
- Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial.
- Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.
- AI Disclosure: Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. Coinbase will not use AI to make decisions impacting employment.
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