Role Description & Responsibilities
Data Engineering
About Coinbase
Coinbase is a high-growth technology leader building scalable solutions for global users. Millions of companies and teams rely on their infrastructure and services to execute high-value workflows, analyze massive datasets, and scale modern operations.
CadetX Candidate Advantage: As an applicant for this Data Engineering role, you are evaluated on practical proficiency with real-world query execution, data pipelines, and clear stakeholder communication.
CadetX Role Brief & Company Specifications
Role Mission & Impact
You'll join the Analytics Engineering team within Platform, which builds and maintains the trusted data infrastructure that powers decision-making across Coinbase. As an Analytics Engineer Intern, you'll model complex data, build scalable pipelines, and deliver insights that help teams across the company unlock the full potential of our data. You will gain hands-on experience building production data systems at scale, mentorship from senior analytics engineers, and exposure to how data powers decision-making across a publicly traded crypto-native company.
Key Responsibilities & Day-to-Day Scope
- ✓ Build and maintain dimensional data models that transform raw data into clean, reliable datasets used by analysts, data scientists, and product teams across the organization.
- ✓ Develop data pipelines using SQL, ensuring data quality, freshness, and documentation meet production standards.
- ✓ Partner with cross-functional stakeholders to understand their data needs and deliver well-structured datasets or dashboards that enable self-serve analytics.
- ✓ Leverage generative AI tools to streamline data development, modeling, and documentation workflows.
- ✓ Investigate and resolve data quality issues, implementing tests and monitors that catch problems before they reach downstream consumers.
Official Qualifications & Technical Requirements
- • Currently pursuing a degree in computer science, data science, statistics, economics, or a related quantitative field, or equivalent experience
- • Demonstrated proficiency in SQL through coursework, projects, or prior internship experience, with the ability to write complex queries involving joins, window functions, and aggregations.
- • Familiarity with at least one programming language (Python preferred)
- • Ability to communicate technical concepts clearly to both technical and non-technical audiences, demonstrated through project presentations, dashboards, documentation, or collaborative work.
- • Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
Preferred Skills & Technology Stack
- + Experience with big data tools (Apache Spark, Kafka, Flink) and cloud platforms (AWS, Azure, GCP).
- + Familiarity with dbt (data build tool) for SQL transformations.
- + Hands-on experience with Docker and Linux system administration.
Tech Stack & Tools in this role
Expected technical competencies for Day 1 productivity:
★ Life & Culture at Coinbase
Verified EmployerCoinbase champions rigorous analytical discipline, continuous learning, and low-ego teamwork. Team members enjoy flexible hybrid allowances, learning stipends, and structured mentorship to fast-track career mobility.