Data Engineer Intern

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 API @ 3 AWS @ 2 Algorithms @ 5 Azure @ 2 Data Analysis @ 3 Data Engineering @ 5 Data Pipelines Data Structures @ 5 Distributed Systems @ 3 GCP @ 2 GenAI Generative AI @ 3 LLM Machine Learning Microservices @ 3 Performance Optimization Python @ 5 RDBMS SQL @ 3 Security

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. Within the Platform product group, the intern will partner with analytics engineering to build and maintain the data pipelines and infrastructure that power insights across Coinbase. The role involves working with senior engineers and cross-functional product and engineering partners to ensure data accuracy, scalability, and accessibility for analytical and machine learning use cases.

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 use generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

Additional Information

Req ID: P78146.
Candidates may submit a maximum of three applications within a six-month period.
Coinbase is an Equal Opportunity Employer.
The target hourly rate depends on work location and is listed as $50 USD for this position.