Senior Associate, Compliance Technology – Compliance Automation

Coinbase

Analytics Engineer at Coinbase building and maintaining data models for compliance and regulatory obligations. Collaborating with engineering and compliance teams to enhance monitoring capabilities.

Posted 7/15/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $167,280 - $196,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in building and maintaining data models and ETL/ELT pipelines, with a strong focus on data quality and compliance in regulated environments. Proficient in SQL and Python for data analysis and automation, ensuring accurate and audit-ready outputs.

Highest-signal resume keywords

Advanced SQL ProficiencyETL/ELT Pipeline DevelopmentData Quality ManagementPython Automation SkillsCross-Functional Project Execution

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Analytics EngineeringData EngineeringData ModelingData Quality ChecksComplex TransformationsPerformance TuningValidation ChecksMeasurement FrameworksReporting PipelinesFeature Set Development

Soft Skills

Clear CommunicationCollaborationProblem-Solving

Tools & Technologies

DbtAirflowGenerative AI

Industry Keywords

Compliance ControlsTransaction MonitoringEDD/KYCScreening SystemsRegulated Environments

Tech Stack

Tools & technologies

AirflowETLPythonSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

medical
dental
vision
401(k)