C
Coinbase
Compliance Technology Senior Analyst
Skills
SQL QueriesData EngineeringPythonData AnalysisAIdbtApache AirflowCompliance
12 days ago
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Important information
Contract type:
Permanent
Salary:
$167,280 – $196,800 / year
Location:
United States
Work mode:
Onsite
Published on:
14 October 2026
What they need
- We’re hiring an Analytics Engineer to join the Compliance Technology team within the Platform organization
- 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
- 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- 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
- Minimum 5 years of experience in analytics engineering, data engineering, or data-heavy technical roles
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality
- Python skills applied to automation, pipeline development, and data analysis
- Demonstrated ability to execute on ambiguous, cross-functional projects in regulated environments with clear written and verbal communication
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