The opportunity
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom.
What you'll do
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.
Execute measurement frameworks for compliance control effectiveness,: including coverage, timeliness, stability, and outcome-based metrics, and build repeatable reporting pipelines consumable by Compliance leaders, operations teams, and auditors.
Minimum 5 years of experience in analytics engineering, data engineering, or data-heavy technical roles.
What they're looking for
- Advanced SQL proficiency including complex transformations, performance tuning, and data quality checks.
- Experience building and maintaining ETL/ELT pipelines and data models using: tools such as dbt, Airflow, or equivalent orchestration/transformation frameworks.
- Demonstrated ability to execute on ambiguous, cross-functional projects in: regulated environments with clear written and verbal communication.
- Python skills applied to automation, pipeline development, and data analysis.
