Analytics Engineer

About the Role

As part of the Platform group, the Compliance Data team is responsible for the Compliance Data Mart (CDM), Coinbase's canonical source of truth for user, transaction, and compliance data. The team's work is fundamental to Coinbase's ability to meet its regulatory obligations accurately and timely. Given the remote-first but not remote-only approach of Coinbase, the selected candidate should be prepared for quarterly in-person working sessions, or 'surges,' which are intense and collaborative.

The role's day-to-day activities will involve close collaboration with upstream engineering teams to address data gaps and absorb product changes, ensuring data integrity and protecting against issues that could propagate to downstream reports or workflows. The position requires a balance between long-term foundational projects and time-sensitive reactive work, particularly in supporting live regulatory exams, audits, and ad hoc regulator requests.

What You Will Do

• Own end-to-end development of production-grade data models and pipelines at the core of the CDM.
• Build data quality checks, data contracts, validation logic, and monitoring to protect data integrity.
• Partner with upstream engineering teams to fix data gaps and absorb product changes.
• Support live regulatory exams, audits, and ad hoc regulator requests with accurate, timely data.
• Automate recurring manual workflows into scalable pipelines and self-serve tooling.
• Develop and maintain documentation of data models, pipelines, and processes.
• Collaborate with cross-functional teams to identify and prioritize data needs.
• Implement data privacy and security measures to ensure compliance with regulatory requirements.
• Stay up-to-date with industry trends and emerging technologies in data engineering and analytics.

What We Are Looking For

• 2+ years of experience building and maintaining production data pipelines and data models.
• Strong proficiency in SQL, Python, dbt, and a modern warehouse platform (Snowflake, Databricks, or similar).
• Track record of implementing data quality frameworks including data contracts, validation logic, reconciliation, and monitoring.
• Experience supporting time-sensitive, high-stakes data needs.
• Demonstrated ability to turn tribal knowledge and recurring manual workflows into durable, documented infrastructure.
• Utilization of generative AI responsibly, with human oversight.
• Experience with data engineering tools and methodologies.
• Strong understanding of data privacy and security principles.

Nice to Have

• Experience with cloud-based data platforms.
• Knowledge of financial regulations and compliance requirements.
• Familiarity with agile development methodologies.
• Certification in data engineering or a related field.
• Participation in open-source data engineering projects.

Benefits and Perks

• Competitive salary and bonus structure.
• Equity participation in Coinbase.
• Comprehensive health, dental, and vision insurance.
• 401(k) matching program.
• Flexible PTO policy.
• Remote work stipend and equipment allowance.
• Access to professional development opportunities and training.
• Participation in quarterly 'surges' for collaborative and intense in-person work sessions.

• Tip: Ensure your resume and cover letter highlight specific examples of building and maintaining production-grade data models and pipelines.
• Be prepared to discuss your experience with SQL, Python, and dbt, and how you've applied these skills in previous roles.
• Showcase your understanding of data quality frameworks and how you've implemented them to protect data integrity.
• Practice explaining complex data engineering concepts in simple terms, as you'll be working with cross-functional teams.
• Consider including samples of your work, such as data models or pipeline designs, in your application to demonstrate your skills.
• Be ready to discuss your approach to balancing reactive and proactive work, particularly in a high-stakes regulatory environment.
• Familiarize yourself with Coinbase's products and mission to demonstrate your interest and potential fit with the company culture.