Coinbase
Senior Analyst, Compliance Technology
Remote - USA · Senior
Sponsorship not specified$167k-$197kDetected 16 hours ago
PythonData StructuresSQLAirflowdbtData EngineeringLLMs
About the role
- Ready to do the most impactful work of your career?
- 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.
Responsibilities
- Build and maintain curated datasets and data models (e.g., case, alert, entity, transaction, and risk features) that power compliance controls across Transaction Monitoring, EDD/KYC, and Screening systems.
- Own data quality for compliance datasets by implementing validation checks, monitoring, lineage tracking, and documentation to ensure outputs are accurate, complete, and audit-ready.
- Partner with cross-functional engineering teams and Compliance stakeholders to close upstream data gaps, standardize instrumentation, and translate control requirements into scalable data structures and feature sets.
- Drive detection signal quality improvements by analyzing detection outputs, identifying opportunities to reduce non-actionable noise while protecting sensitivity, and defining success metrics for controlled rollouts.
- Experience building and maintaining ETL/ELT pipelines and data models using tools such as dbt, Airflow, or equivalent orchestration/transformation frameworks.
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
- If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here.
- This team builds and operates data and detection capabilities that enable Coinbase to meet global BSA/AML and related regulatory obligations at scale, partnering with Compliance, Product, and Engineering to ensure monitoring and investigative controls are effective, measurable, and auditable.
- You'll build and own end-to-end data pipelines that power compliance detection and decisioning, improving signal quality, defining control performance measurement, and creating scalable tooling that makes compliance data easier to trust and use.
Requirements
- Demonstrated ability to execute on ambiguous, cross-functional projects in regulated environments with clear written and verbal communication.
- Required skills and experience:
Skills
- Minimum 5 years of experience in analytics engineering, data engineering, or data-heavy technical roles.
- Advanced SQL proficiency including complex transformations, performance tuning, and data quality checks.
- Python skills applied to automation, pipeline development, and data analysis.
Compensation
- $167,280 - $196,800 USD
- Notice: Base salary varies by location (see range below).
- Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).
- Annual base salary range (excluding equity and bonus):
Benefits
- Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).
Company info
- At Coinbase, we are uncompromising on our mission to increase economic freedom.
- We're hiring an Analytics Engineer to join the Compliance Technology team within the Platform organization.
Equal opportunity
- 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.
- 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.
Apply directly at Coinbase →Create a free account for alerts like thisView Coinbase immigration profile
This listing is sourced directly from Coinbase's careers page and normalized into a canonical job model.