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Salary: USD 180,370 - 212,200 / annual
Coinbase is seeking a Senior Analytics Engineer to join the Platform team and build scalable data models and pipelines that power analytics, experimentation, and decision-making across the organization. You will own end-to-end data solutions for specific business domains, transforming complex data flows into clean, reusable frameworks that unlock commercial value at scale.
Key responsibilities include:
- Own end-to-end data modeling for assigned business domains, designing modular, reusable models (star/snowflake schemas) that serve as the single source of truth for downstream teams.
- Build and optimize ETL/ELT pipelines using modern tools like dbt and Airflow, ensuring data quality, reliability, and performance at scale across Snowflake or similar warehouse architectures.
- Partner with Engineering, Product, and Data Science teams to identify data gaps, define requirements, and deliver data products that enable experimentation, ad hoc analysis, and business metric optimization.
- Develop scalable abstractions and frameworks (UDFs, Python packages, internal data apps) that multiply the efficiency of other data teams and reduce time-to-insight across the organization.
- Design and deliver dashboards and visualization layers using tools like Looker or Tableau, translating complex data into clear, actionable views for cross-functional stakeholders.
Required qualifications:
- 5+ years in analytics engineering or data engineering with demonstrated expertise in designing modular data models and building production ETL/ELT pipelines using dbt, Airflow, or similar tools.
- Advanced SQL proficiency for complex transformations and query optimization, plus intermediate-to-advanced Python for scripting, automation, and building scalable frameworks (OOP experience preferred).
- Production experience with modern data warehouse architectures (Snowflake, Databricks) including performance tuning, data quality monitoring, and version-controlled development workflows (GitHub, CI/CD).
- Proven track record delivering data solutions that generated measurable business impact, with the ability to independently build domain expertise and communicate technical trade-offs to Product, Engineering, and business stakeholders.
- Experience with prompt engineering for LLMs (e.g., GPT), including designing and optimizing prompts for internal tooling and automation use cases.
- Ability to utilize generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
Coinbase is a remote-first company with quarterly in-person working sessions called "surges." The role offers competitive compensation, equity, bonus eligibility, and comprehensive benefits.
