Analytics Engineer Intern

at Coinbase

📍 San Francisco, United States

USD 50 per hour

INTERN

✅ Hybrid

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 3 Data Pipelines Data Science @ 3 GenAI Generative AI @ 3 Python @ 2 SQL @ 5 Statistics @ 3

Details

Coinbase is a remote-first, but not remote-only company, with quarterly in-person working sessions called “surges.” This is a 12-week internship during summer 2027.

You’ll join the Analytics Engineering team within Platform, which builds and maintains 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 their data. You will gain hands-on experience building production data systems at scale, receive mentorship from senior analytics engineers, and learn how data powers decision-making across a publicly traded crypto-native company.

Responsibilities

Build and maintain dimensional data models that transform raw data into clean, reliable datasets for analysts, data scientists, and product teams.
Develop data pipelines using SQL while 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-service analytics.
Leverage generative AI tools to streamline data development, modeling, and documentation workflows.
Investigate and resolve data quality issues, implementing tests and monitors that identify problems before they reach downstream consumers.

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, including the ability to write complex queries involving joins, window functions, and aggregations.
Familiarity with at least one programming language; Python is preferred.
Ability to communicate technical concepts clearly to technical and non-technical audiences through project presentations, dashboards, documentation, or collaborative work.
Ability to use generative AI responsibly, maintaining human oversight to deliver business-ready outputs and improve workflow efficiency, cost, and quality.