Role overview

This is a 12-week summer internship within Coinbase’s Platform product group, focused on data engineering. You will build and maintain the data pipelines and infrastructure that support analytics and machine learning across the company, working alongside senior engineers and cross-functional partners in product and engineering.

Key responsibilities

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.

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 such as AWS, GCP, or Azure.
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.
Ability to utilize generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

What makes this role worth considering

Coinbase operates as a remote-first company with quarterly in-person working sessions called “surges” for intense collaborative work. The position is hybrid based in San Francisco, California, and offers you the opportunity to work alongside senior engineers on infrastructure that powers insights across a major financial platform.