Coinbase is hiring a Senior Analytics Engineer (Platform - Financial Analytics) in Data Engineering — Remote - USA. The overview below is synthesized from the employer posting on coinbase.com: factual requirements and scope are preserved, but prose is rewritten with editorial context. Verify details and apply via the employer link.
Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom.
Senior Analytics Engineer
As a Senior Analytics Engineer on the Platform team, you'll build the scalable data models and pipelines that power analytics, experimentation, and decision-making across Coinbase. Our Analytics Engineering team transforms raw data into trusted, well-modeled sources that stakeholders across Product, Engineering, and Data Science rely on daily.
What you'll do
Day-to-day scope for the Senior Analytics Engineer (Platform - Financial Analytics) as described in the posting:
- Own end-to-end data modeling for assigned business domains, from understanding source system data flows through 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 directly 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 Skills and Experience:
- 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.
- 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.
- 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):
$180,370—$212,200 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.
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