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
As a Data Engineer Intern within the Platform product group, you'll partner with analytics engineering to build and maintain the data pipelines and infrastructure that power insights across Coinbase. You'll work alongside senior engineers and cross-functional partners in product and engineering to ensure data accuracy, scalability, and accessibility for analytical and machine learning use cases.
Key Responsibilities & Day-to-Day Scope
- ✓ Build and maintain data pipelines that ensure data integrity and accessibility for analytics and machine learning workloads
- ✓ Support the development of scalable data infrastructure using Python and cloud-based technologies
- ✓ Integrate and manage data from multiple sources, including internal systems and external APIs
- ✓ Contribute to analytical deep dives with senior team members, translating findings into clear documentation and recommendations
- ✓ Learn and apply data engineering best practices including data governance, security, and performance optimization
Official Qualifications & Technical Requirements
- • Completed or in-progress coursework in Computer Science, Data Engineering, or equivalent experience with demonstrated programming proficiency in Python, including data structures and algorithms
- • Hands-on experience writing SQL for data analysis and working with relational database concepts
- • Familiarity with cloud platforms (AWS, GCP, or Azure) and a demonstrated interest in AI, LLMs, or API integrations
- • Exposure to software architecture concepts such as microservices, distributed systems, or cloud-native design through coursework or projects
- • 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.