Data Engineer Intern
- San Francisco, United States
- Hybrid
- Internship
- Intern/New Grad
- Posted
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 (AWS, GCP, or Azure) and a 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
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
Required Skills and Experience
Req ID: P78146
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.
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Accommodations
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