Data Engineer Intern

As a Data Engineer Intern within the Platform product group at Coinbase, you'll partner with analytics engineering to build and maintain the data pipelines and infrastructure that power insights across the company. 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. This is a 12-week internship during summer 2027.

What you'll do

• 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

What you bring

• 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 such as 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
• The ability to use generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality

What we offer

• Hourly rate of $50 USD
• Remote-first work with quarterly in-person working sessions called "surges"

About Coinbase

Coinbase is on a mission to increase economic freedom. The company is remote-first but not remote-only, bringing teams together quarterly for intensive in-person collaboration.