Role overview

Coinbase is seeking an Analytics Engineer Intern to join the Platform team during summer 2027 for a 12-week internship. The Analytics Engineering team builds and maintains the data infrastructure that enables decision-making across the organization. You will work on modeling complex data, constructing scalable pipelines, and delivering insights that drive business impact across teams.

Key responsibilities

Build and maintain dimensional data models that transform raw data into clean, reliable datasets for use by analysts, data scientists, and product teams.
Develop data pipelines using SQL while ensuring data quality, freshness, and documentation meet production standards.
Work with cross-functional stakeholders to understand their data requirements and deliver well-structured datasets and dashboards that enable self-serve analytics.
Use generative AI tools to improve efficiency in data development, modeling, and documentation workflows.
Identify and resolve data quality issues by implementing tests and monitoring systems that detect problems before they impact downstream users.

Requirements

Currently enrolled in a degree program in computer science, data science, statistics, economics, or a related quantitative field, or equivalent professional experience.
Demonstrated proficiency in SQL through coursework, projects, or prior internship work, with the ability to write complex queries that use joins, window functions, and aggregations.
Familiarity with at least one programming language, with Python as the preferred choice.
Strong ability to communicate technical concepts clearly to both technical and non-technical audiences, shown through project presentations, dashboards, documentation, or team collaboration.
Responsible use of generative AI tools while maintaining human oversight to ensure business-ready outputs and measurable improvements in workflow efficiency, cost, and quality.

What makes this role worth considering

This internship offers hands-on experience building production-scale data systems with mentorship from senior analytics engineers at a publicly traded company. You will work in a hybrid environment based in New York, with quarterly in-person collaboration sessions. The role provides direct exposure to how data infrastructure supports decision-making across an established organization in the crypto sector.