Senior Analyst, Compliance Technology

Coinbase; United States; Hybrid; USD 167,000 - 197,000; Full time

Job summary

Coinbase is hiring an Analytics Engineer in a remote-first, hybrid model within the Compliance Technology team. You will build and own end-to-end data pipelines powering compliance detection, partnering with Compliance, Product, and Engineering to ensure audit-ready outputs.

Responsibilities include developing datasets and models, ensuring data quality, and translating control requirements into scalable structures.

Qualifications

• Minimum 5 years of analytics engineering, data engineering, or data-heavy roles.
• Advanced SQL with complex transformations and data quality checks.
• Experience building ETL/ELT pipelines and data models using dbt or similar tools.
• Proficient in Python for automation and data analysis.

Responsibilities

• Build and maintain curated datasets and data models powering compliance controls across systems.
• Own data quality for compliance datasets with validation checks and lineage tracking.
• Partner with cross-functional engineering teams and Compliance stakeholders to close upstream data gaps.
• Drive detection signal quality improvements while reducing non-actionable noise.
• Execute measurement frameworks and build repeatable reporting pipelines for leaders and auditors.

Skills

Analytics engineering

SQL proficiency

ETL/ELT pipelines

dbt

Airflow

Python

Tools

dbt

Airflow

Job description

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.

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.

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.

Required skills and experience:

• 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.
• 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.
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

Pay Transparency 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): $167,280 — $196,800 USD