Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 6
AML
Airflow @ 4
Audit
Communication @ 6
Compliance
Data Analysis @ 6
Data Engineering @ 6
Data Pipelines
Data Structures
ELT @ 4
ETL @ 4
GenAI
Generative AI @ 6
KYC
Python @ 6
SQL @ 6
dbt @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Coinbase is hiring an Analytics Engineer to join the Compliance Technology team within the Platform organization. The team builds and operates data and detection capabilities that enable Coinbase to meet global BSA/AML and related regulatory obligations at scale. The role partners with Compliance, Product, and Engineering to ensure monitoring and investigative controls are effective, measurable, and auditable.
You will build and own end-to-end data pipelines that power compliance detection and decisioning, improve signal quality, define control performance measurements, and create scalable tooling that makes compliance data easier to trust and use.
Responsibilities
- Build and maintain curated datasets and data models, including 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.
- Improve detection signal quality 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.
- Build repeatable reporting pipelines for Compliance leaders, operations teams, and auditors.
Requirements
- At least 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 and transformation frameworks.
- Ability to execute ambiguous, cross-functional projects in regulated environments with clear written and verbal communication.
- Python skills applied to automation, pipeline development, and data analysis.
- Responsible use of generative AI, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
Compensation
The annual base salary range is $167,280–$196,800 USD, excluding equity and bonus. Total compensation may also include equity and bonus eligibility, as well as medical, dental, vision, and 401(k) benefits.
Coinbase is a remote-first, but not remote-only, company. Employees are expected to meet quarterly for in-person working sessions called “surges.” Candidates may submit a maximum of three applications within a six-month period. Coinbase is an equal opportunity employer.