Impactful Analytics Engineer - Compliance Data & Detection

Coinbase; San Francisco (CA); Hybrid; USD 167,000 - 197,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k)

Equity and bonus eligibility

Job summary

Coinbase is hiring an Analytics Engineer to join the Compliance Technology team within the Platform organization. You will build and own end-to-end data pipelines powering compliance detection and decisioning, collaborate with Compliance, Product, and Engineering, and ensure data is trusted and auditable.

You will define data models, monitor data quality, and improve signal quality while maintaining responsible AI practices.

Qualifications

• 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.
• Experience building and maintaining ETL/ELT pipelines and data models using tools such as dbt, Airflow, or equivalent orchestration/transformation frameworks.

Responsibilities

• Build and maintain curated datasets and data models powering compliance controls across monitoring, EDD/KYC, and screening systems.
• Own data quality for compliance datasets with validation checks, monitoring, lineage tracking, and documentation for audit readiness.
• Partner with cross-functional teams to close upstream data gaps, standardize instrumentation, and translate control requirements into scalable data structures.
• Drive detection signal quality improvements by analyzing outputs, reducing non-actionable noise while protecting sensitivity, and defining success metrics.
• Execute measurement frameworks for compliance control effectiveness and build repeatable reporting pipelines for leaders and auditors.

Skills

Analytics engineering

Data engineering

Advanced SQL

ETL/ELT pipelines

Python

Tools

dbt

Airflow

Job description

Coinbase is hiring an Analytics Engineer to join the Compliance Technology team within the Platform organization. You will build and own end-to-end data pipelines powering compliance detection and decisioning, collaborate with Compliance, Product, and Engineering, and ensure data is trusted and auditable.

You will define data models, monitor data quality, and improve signal quality while maintaining responsible AI practices.