Senior Analytics Engineer

📍 World
USD 180,000-212,000 per year
SENIOR
✅ Hybrid

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Docker @ 1 Kubernetes @ 1 Google Sheets @ 4 Python @ 4 SQL @ 4 Looker @ 6 Statistics @ 3 Tableau @ 6 GCP @ 1 dbt @ 4 ETL @ 4 Airflow @ 4 GitHub @ 3 CI/CD @ 3 Data Science @ 4 AWS @ 1 Communication @ 7 Data Engineering @ 4 ELT @ 4 Databricks @ 4 Snowflake @ 7

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. We’re building an emerging onchain platform and the future global financial system. The Analytics Engineering team bridges data engineering, data science, and business analytics by building scalable, impactful data solutions: robust pipelines, well-designed data models, and tools that enable stakeholders to make data-driven decisions. The team prioritizes data quality, reliability, and usability.

While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually; attendance is expected and fully supported.

Responsibilities

  • Develop and maintain foundational data models that serve as single sources of truth for analytics across the organization.
  • Translate business requirements into scalable data models, dashboards, and tools that deliver commercial value.
  • Build, maintain, and optimize ETL/ELT pipelines and data products to maximize efficiency and data quality.
  • Partner cross-functionally with engineering, data science, product, and business teams to align priorities and data solutions.
  • Quickly build subject-matter expertise in specific business areas and own end-to-end data flows (creation, ingestion, transformation, delivery).
  • Diagnose and fix issues anywhere in the stack; communicate with engineering teams to resolve data gaps for downstream users.
  • Create abstractions and frameworks (UDFs, Python packages, internal data app frameworks, dashboards) to support scalable data workflows.
  • Use established tools with mastery (e.g., SQL, Google Sheets) to deliver rapid impact when needed.

Requirements

  • Data modeling expertise: strong understanding of best practices for designing modular and reusable data models (star schemas, snowflake schemas).
  • Prompt design and engineering for LLMs (e.g., GPT): expertise in creating, refining, and optimizing prompts for internal tools and use cases.
  • Advanced SQL: proficiency in advanced SQL techniques for transformation, querying, and optimization.
  • Intermediate to advanced Python: scripting, automation, OOP, and building scalable frameworks.
  • Data pipeline development: experience building, maintaining, and optimizing ETL/ELT pipelines using tools like dbt, Airflow, or similar.
  • Data visualization: proficiency building polished dashboards with Looker, Tableau, Superset, or Python libraries (Matplotlib, Plotly).
  • 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 and strong collaboration/communication skills to translate technical concepts into business value.
  • Familiarity with statistics and probability.
  • Bonus: experience with cloud platforms (AWS, GCP) and container/orchestration tooling such as Docker or Kubernetes.

Benefits

  • Target pay range: $180,000 — $212,000 USD (full-time offers also include target bonus + benefits).
  • Medical, dental, and vision plans 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.
  • Option of getting paid in digital currency.

Additional Information

  • ID: G2754
  • Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed above. Full-time offers include target bonus and benefits (medical, dental, vision, and 401(k)).
  • Equal opportunity employer and commitment to reasonable accommodations during the application process.
  • Coinbase is piloting select AI tools for initial screening and interview intelligence for some roles; humans review interview responses and summaries.