Senior Analytics Engineer
@ Coinbase

Hybrid
CA$191,000
Hybrid
Full Time
Posted 10 hours ago

Your Application Journey

Personalized Resume
Apply
Email Hiring Manager
Interview

Email Hiring Manager

XXXXXXXXXX XXXXXXXXXXX XXXXXXXXXX******* @coinbase.com
Recommended after applying

Job Details

Overview

At Coinbase, our mission is to increase economic freedom in the world by building the emerging onchain platform that will shape the future global financial system. The Senior Analytics Engineer role is designed for candidates who are passionate about crypto and blockchain technology, eager to leave a mark, and ready to face complex challenges.

What We Do

  • Trusted Data Sources: Develop and maintain foundational data models as the single source of truth.
  • Actionable Insights: Translate business requirements into scalable data models, dashboards, and tools.
  • Cross-Functional Collaboration: Partner with engineering, data science, product, and business teams.
  • Scalable Data Products: Build frameworks and tools that maximize efficiency while ensuring quality.
  • Outcome-Focused Solutions: Use modern development and analytics tools to deliver value quickly.

What You Will Do

This role is a blend of Data Engineer, Data Scientist, and Business Analyst. You will build end-to-end data flows, establish subject matter expertise, and collaborate with multiple teams to deliver impactful data solutions.

Be the Expert: Quickly build expertise in specific business areas and data domains through understanding data creation, ingestion, transformation, and delivery. Examples include initiating new data pipelines and resolving data gaps across the stack.

Generate Business Value: Interface with stakeholders to deliver commercial value. This includes building new data models, merging detailed engineering insights with statistical analysis, and developing holistic frameworks.

Focus on Outcomes Not Tools: Identify appropriate frameworks and paradigms for delivering value. Develop new abstractions and use established tools such as SQL and Python to maintain high speed and quality.

What We Look For in You

  • Data Modeling Expertise: Proficiency in designing modular, reusable data models.
  • Prompt Design and Engineering: Experience in creating and optimizing prompts for LLMs.
  • Advanced SQL: Expertise in SQL for data transformation and querying.
  • Intermediate to Advanced Python: Skilled in scripting, OOP, and scalable framework development.
  • Collaboration and Communication: Ability to translate technical concepts into business value.
  • Data Pipeline Development: Proven experience with ETL/ELT pipelines using tools like dbt and Airflow.
  • Data Visualization: Competence in building dashboards with Looker, Tableau, Superset, or Python libraries.
  • Development Tools: Familiarity with GitHub, CI/CD practices and modern development workflows.
  • Data Architecture: Understanding of data lake/warehouse architectures and transformation frameworks.
  • Business Acumen: Proven ability to address business challenges through analytics engineering.

Bonus Skills

  • Experience with cloud platforms such as AWS or GCP.
  • Familiarity with containerization tools like Docker or Kubernetes.

Additional Information

While many roles at Coinbase are remote-first, this position requires in-person participation throughout the year, including team and company-wide offsites. Coinbase is committed to diversity, equal opportunity, and compliance with all related employment laws.

Key skills/competency

  • Analytics
  • Data Modeling
  • SQL
  • Python
  • ETL
  • Data Visualization
  • Prompt Engineering
  • Data Pipelines
  • Collaboration
  • Business Acumen

How to Get Hired at Coinbase

🎯 Tips for Getting Hired

  • Customize your resume: Tailor your skills to Coinbase requirements.
  • Research Coinbase: Understand their mission and tech culture.
  • Highlight prompt engineering: Emphasize LLM experience and SQL expertise.
  • Prepare examples: Showcase cross-functional project achievements.

📝 Interview Preparation Advice

Technical Preparation

Practice advanced SQL queries and optimization.
Review Python scripting and OOP basics.
Simulate ETL pipeline development with dbt.
Familiarize with version control and CI/CD.

Behavioral Questions

Describe a time you solved a complex data issue.
Explain how you handle cross-team project conflicts.
Share a moment of rapid learning on the job.
Discuss a situation demanding high accountability.

Frequently Asked Questions