Used Tools & Technologies
Not specified
Required Skills & Competences ?
Docker @ 3 Kubernetes @ 3 Python @ 4 SQL @ 4 Looker @ 6 Tableau @ 6 GCP @ 4 dbt @ 4 ETL @ 4 Airflow @ 4 GitHub @ 3 CI/CD @ 3 Data Science @ 4 AWS @ 4 Communication @ 7 Data Engineering @ 4 ELT @ 4 Databricks @ 4 Snowflake @ 7Details
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 passionate about crypto and blockchain technology and eager to solve the company’s hardest problems.
Our work culture is intense and suited for those who excel in their disciplines.
The Analytics Engineering team bridges the gap between data engineering, data science, and business analytics by building scalable, impactful data solutions. They transform raw data into actionable insights through robust pipelines, well-designed data models, and tools that empower stakeholders to make data-driven decisions.
Responsibilities
- Develop and maintain foundational data models as trusted data sources.
- Empower stakeholders with scalable data models, dashboards, and tools.
- Collaborate cross-functionally with engineering, data science, product, and business teams.
- Build scalable data products, tools, and workflows.
- Deliver outcome-focused solutions using modern development and analytics tools.
- Build subject matter expertise in specific business areas and data domains.
- Generate business value by interfacing with stakeholders on data and product teams.
- Use a variety of frameworks and tools to deliver value quickly and maintain long term solutions.
Requirements
- Strong data modeling expertise (star schemas, snowflake schemas).
- Expertise in prompt design and engineering for LLMs (e.g., GPT).
- Advanced SQL skills for data transformation and querying.
- Intermediate to advanced Python capabilities including OOP and scalable frameworks.
- Strong collaboration and communication skills.
- Experience building and optimizing ETL/ELT pipelines using tools like dbt, Airflow.
- Proficiency in data visualization tools such as Looker, Tableau, Superset, or Python libraries.
- Familiarity with version control (GitHub), CI/CD, and modern development workflows.
- Knowledge of modern data lake/warehouse architectures (Snowflake, Databricks).
- Solid business acumen and statistical familiarity.
Bonus Skills
- Experience with cloud platforms such as AWS or GCP.
- Familiarity with Docker or Kubernetes.
Benefits
- Medical, dental, vision plans with employee contributions.
- Health savings account with company contributions.
- Disability and life insurance.
- 401(k) with company match.
- Wellness, mobile/internet, and connections stipends.
- Volunteer time off.
- Fertility counseling and benefits.
- Generous time off/leave policy.
- Option to be paid in digital currency.
Applying for this role does not guarantee consideration for this exact position; leveling is assessed during interviews.