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# Associate, Compliance Technology Compliance Automation

- **Company:** Coinbase Global
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Data Analysis, Data Validation, Information Engineering, Extract Transform Load (ETL), Data Structures, Python (Programming Language), Performance Tuning, Sql Optimization, Data Lineage, Data Pipelines
- **Published:** August 8, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-associate-compliance-technology-compliance-automation-san-francisco-ca--ca2c92bb-36e7-4211-a5b9-669e52c501e2

## About the Role

* 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.

## Description

* 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.


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