Senior Analyst, Compliance Technology

FlagshipKansas; Topeka (KS); On-site; USD 167,000 - 197,000; Full time

Job summary

Coinbase in Topeka, Kansas invites an Analytics Engineer to join the Compliance Technology team within the Platform organization. You will build end-to-end data pipelines powering compliance detection and decisioning, collaborating with Compliance, Product, and Engineering to ensure controls are effective and auditable.

The role emphasizes data modeling, data quality, and measurement frameworks, with a focus on signal quality and scalable tooling that makes compliance data trustworthy for

Qualifications

• 5+ years in analytics engineering or data-heavy roles.
• Advanced SQL proficiency with complex transformations and data quality checks.
• Experience building ETL/ELT pipelines and data models using dbt, Airflow, or equivalent.
• Strong written and verbal communication in regulated environments.
• Python skills for automation and data analysis.

Responsibilities

• Build and maintain curated datasets and data models powering compliance controls across systems.
• Own data quality, validation, lineage tracking, and audit-ready outputs.
• Collaborate with cross-functional teams to close upstream data gaps and standardize instrumentation.
• Improve detection signal quality while reducing noise and maintaining sensitivity.
• Implement measurement frameworks and build reporting pipelines for Compliance leaders and auditors.

Skills

SQL

Python

Data modeling

ETL/ELT pipelines

Cross-functional collaboration

Tools

dbt

Airflow

Job description

at Coinbase in Topeka, Kansas, United States

Job Description

Ready to do the most impactful work of your career? Athttps://www.coinbase.com/careers.

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

• *Application Limit: *Candidates may submit a maximum of 3 applications within a 6-month period.
• *Equal Opportunity Employer: *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.
• *US Applicants: *Viewhttps://static-assets.coinbase.com/e-verify.pdf Notice of Participation.
• *Accommodations: *If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodationshttp://www.chromevox.com/tutorial/.
• *Data Privacy & Arbitration: *By submitting your application, you agree to ourhttps://www.coinbase.com/legal/application-arbitration-agreement.