Analytics Engineer Intern

CryptoproNetwork; San Francisco (CA); Hybrid; USD 57,000 - 81,000; Full time

Job summary

Coinbase is seeking an Analytics Engineer Intern to join the Analytics Engineering team in San Francisco. The 12-week summer internship focuses on building scalable data pipelines, modeling complex data, and delivering self-serve analytics for product and business teams.

You'll work with SQL, Python, and generative AI-assisted workflows, receive mentorship from senior engineers, and gain hands-on experience deploying production data systems at scale.

Qualifications

• Pursuing a degree in computer science, data science, statistics, economics, or a related quantitative field, or equivalent experience.
• Proficient in SQL with the ability to write complex queries, joins, window functions, and aggregations.
• Familiar with Python or another programming language.
• Ability to communicate technical concepts clearly to diverse audiences.
• Uses generative AI responsibly to improve workflow efficiency and quality.

Responsibilities

• Build and maintain dimensional data models transforming raw data into clean datasets for analysts and product teams.
• Develop data pipelines using SQL with a focus on data quality and production readiness.
• Collaborate with stakeholders to deliver well-structured datasets or dashboards for self-serve analytics.
• Leverage generative AI tools to streamline data development, modeling, and documentation.
• Investigate data quality issues and implement tests and monitors.

Skills

SQL

Python

Communication

Generative AI usage

Education

Quantitative degree or equivalent experience

Tools

Generative AI tools

Job description

This is a 12-week internship during summer 2027.

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

What you'll do:

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

Required Skills and Experience:

• 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, with the ability to write complex queries involving joins, window functions, and aggregations.
• Familiarity with at least one programming language (Python preferred)
• Ability to communicate technical concepts clearly to both technical and non-technical audiences, demonstrated through project presentations, dashboards, documentation, or collaborative work.
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

Req ID: P78159

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Pay Transparency Notice:Depending on your work location, the target hourly rate for this position can range as detailed below.Hourly Rate:$50-$50 USD