Analytics Engineer Intern
Coinbase is hiring an Analytics Engineer Intern in San Francisco, United States. It pays $50/hr and Level rates it ; you can apply on Coinbase.
Level's read on this job
- Level rates this role Uses AI ●●○○: an ordinary role that requires AI tools.
- The posting allows some remote work.
- Tools and skills the posting cites include SQL, Python and analytics engineering.
- Level classifies it as an internship.
- Level lists 226 other open roles at Coinbase.
AI in this role
Analytics engineering intern building data models, pipelines, and using generative AI tools for workflow efficiency at Coinbase.
Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase.
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
#LI-Hybrid
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- Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.
- Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.
- US Applicants: View Employee Rights, Know Your Rights, and E-Verify Notice of Participation.
- Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial.
- Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.
How we rate this
Analytics Engineer Intern at Coinbase rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where analytics engineering was part of your work. What did you do?
- Tell me about a project where data modeling was part of your work. What did you do?
- Tell me about a project where data pipelines was part of your work. What did you do?
- Tell me about a project where dbt was part of your work. What did you do?
- Walk me through how you've used SQL in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Analytics Engineering, Data Modeling, Data Pipelines, dbt, and SQL. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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