Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase.
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.
- 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).
- 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.
Skills Required
- 2+ years building and maintaining production data pipelines and data models
- Daily proficiency in SQL
- Daily proficiency in Python (scripting, automation, OOP)
- Experience with dbt
- Experience with Airflow
- Experience with modern data warehouse architecture (Snowflake or Databricks)
- Experience with data modeling patterns (star/snowflake schemas, OBTs, SCDs) and building canonical data models
- Track record implementing data quality frameworks including data contracts, validation, reconciliation, and monitoring
- Experience supporting time-sensitive, high-stakes data needs (regulatory exams, audits, or financial reporting)
- Proven ability to work independently and convert tribal knowledge into documented, durable infrastructure
- Utilizes generative AI responsibly with human oversight to produce business-ready outputs
Coinbase Compensation & Benefits Highlights
How does Coinbase ensure its pay and bonus plans are competitive?
Coinbase uses a market-driven, pay-for-performance approach to keep pay and bonus plans competitive. Coinbase regularly benchmarks roles against leading technology and fintech companies using external market data and reviews its compensation programs on a recurring basis to ensure salary, bonus, and equity remain aligned with the broader market and business goals. Annual bonus and equity programs are tied to both company results and individual impact, so when Coinbase and its people perform, total rewards reflect that performance.
Coinbase Insights
What We Do
Crypto creates economic freedom by ensuring that people can participate fairly in the economy, and Coinbase (NASDAQ: COIN) is on a mission to increase economic freedom for more than 1 billion people. We’re updating the century-old financial system by providing a trusted platform that makes it easy for people and institutions to engage with crypto assets, including trading, staking, safekeeping, spending, and fast, free global transfers. We also provide critical infrastructure for onchain activity and support builders who share our vision that onchain is the new online. And together with the crypto community, we advocate for responsible rules to make the benefits of crypto available around the world.
Why Work With Us
We have the opportunity to accelerate the pace of innovation in the world by building an open financial system. Our vision is to create more economic freedom in the world, to help people control their own wealth, start companies, have financial privacy, and participate in the global economy. And to get us there, we focus, build and move as a team.
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Employees work remotely.
Coinbase is remote-first, which enables us to innovate, build and move quickly. Our teams are able to work effectively from around the globe with time for in-person offsites and team meetups to enhance collaboration and connection.
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