Analytics Engineer

About the role

As an Analytics Engineer at Coinbase, you will be responsible for the development and maintenance of production-grade data models and pipelines. Your work will focus on user, transaction, and compliance data across various product lines, ensuring data integrity and quality throughout the process.

You will collaborate with engineering teams to address data gaps and support regulatory needs, balancing urgent requests with long-term projects. The role requires a proactive approach to automating workflows and creating self-service tools, all while working in a fast-paced and high-stakes environment.

The salary for this role ranges from $152,405 to $179,300, depending on location.

Skills that matter here

• SQL: This role requires strong proficiency in SQL to build and maintain data pipelines.
• Python: Python is used for developing scalable data solutions and automating workflows.
• dbt: Experience with dbt is essential for creating and managing data models.
• Snowflake: Knowledge of Snowflake is necessary for working with modern data warehouse platforms.
• Databricks: Familiarity with Databricks is important for handling data processing tasks.

Who this role suits

• Candidates should have a background in data engineering or analytics with at least two years of relevant experience.
• A detail-oriented mindset is crucial, as this role involves ensuring data accuracy and integrity.
• The ideal person thrives in fast-paced environments and is comfortable managing high-stakes data needs.
• Strong problem-solving skills and the ability to automate manual processes will help you succeed in this role.

From the employer

What you'll do:

• Own end-to-end development of production-grade data models and pipelines at the core of the CDM, covering user, transaction, and compliance data across retail and institutional product lines, from architecture through deployment and maintenance.
• Build data quality checks, data contracts, validation logic, and monitoring that protect data integrity before issues propagate to downstream reports or workflows.
• Partner with upstream engineering teams to fix data gaps and absorb product changes at the source, taking accountability for data issues anywhere in the stack rather than passing them downstream.
• Support live regulatory exams, audits, and ad hoc regulator requests with accurate, timely data, balancing time-sensitive reactive work with long-term foundational projects.
• Automate recurring manual workflows into scalable pipelines and self-serve tooling, enabling downstream teams and AI agents to answer their own questions.

Required Skills and Experience:

• 2+ years of experience building and maintaining production data pipelines and data models, with strong proficiency in SQL, Python, dbt, and a modern warehouse platform (Snowflake, Databricks, or similar).
• Track record implementing data quality frameworks including data contracts, validation logic, reconciliation, and monitoring to catch issues before they reach downstream reports.
• Experience supporting time-sensitive, high-stakes data needs (regulatory exams, audits, or financial reporting) where accuracy and timeliness are non-negotiable.
• Demonstrated ability to turn tribal knowledge and recurring manual workflows into durable, documented infrastructure.
• 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): $152,405 — $179,300 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.