Analytics Engineer

Details

Ready to be pushed beyond what you think you’re capable of?

At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system.

To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems.

Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be.

The CX Analytics Engineering team bridges the gap between data engineering, data science, and business analytics by building scalable, impactful data solutions. We transform raw data into actionable insights through robust pipelines, well-designed data models, and tools that empower stakeholders across the organization to make data-driven decisions. As an Analytics Engineer on our team, you will function as a force multiplier, enabling Analytics and Operations to function seamlessly at scale. You’ll have the opportunity to translate complex technical and operational requirements into easily consumable front end data solutions, while also heavily influencing the overarching strategy for CX Analytics and its partners.

Our team combines technical expertise with a deep understanding of the business to unlock the full potential of our data. We prioritize data quality, reliability, and usability, ensuring stakeholders can rely on our data to drive meaningful outcomes.

Responsibilities

• Trusted Data Sources: Develop and maintain foundational data models that serve as the single source of truth for analytics across the organization.
• Actionable Insights: Empower stakeholders by translating business requirements into scalable data models, dashboards, and tools.
• Cross-Functional Collaboration: Partner with engineering, data science, product, and business teams to ensure alignment on priorities and data solutions.
• Scalable Data Products: Build frameworks, tools, and workflows that maximize efficiency for data users, while maintaining high standards of data quality and performance.
• Outcome-Focused Solutions: Use modern development and analytics tools to deliver value quickly, while ensuring long-term maintainability.

Requirements

In addition to out of the box thinking, attention to detail, a sense of urgency and a high degree of autonomy and accountability, we expect you to have the following skills:

• Data Modeling Expertise: Strong understanding of best practices for designing modular and reusable data models (e.g., star schemas, snowflake schemas).
• Prompt Design and Engineering: Expertise in prompt engineering and design for LLMs (e.g., GPT), including creating, refining, and optimizing prompts to improve response accuracy, relevance, and performance for internal tools and use cases.
• Advanced SQL: Proficiency in advanced SQL techniques for data transformation, querying, and optimization.
• Collaboration and Communication: Strong ability to translate technical concepts into business value for cross-functional stakeholders. Proven ability to manage projects and communicate effectively across teams.
• Data Pipeline Development: Experience building, maintaining, and optimizing ETL/ELT pipelines, using modern tools like dbt, Airflow, or similar.
• Development Tools: Familiarity with version control (GitHub), CI/CD, and modern development workflows.
• Data Architecture: Knowledge of modern data lake/warehouse architectures (e.g., Snowflake, Databricks) and transformation frameworks.
• Business Acumen: Ability to understand and address business challenges through analytics engineering.

Benefits

• Medical Plan, Dental and Vision Plan with generous employee contributions
• Health Savings Account with company contributions each pay period
• Disability and Life Insurance
• 401(k) plan with company match
• Wellness Stipend
• Mobile/Internet Reimbursement
• Connections Stipend
• Volunteer Time Off
• Fertility Counseling and Benefits
• Generous Time off/Leave Policy
• The option of getting paid in digital currency

Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + benefits (including medical, dental, vision and 401(k)).

Pay Range: $122,145 — $143,700 USD