Data Engineer Intern - Build Scalable Pipelines & Analytics

Triwill Group; San Francisco, Northern (CA, KY); Hybrid; USD 41,000 - 69,000; Full time

Job summary

Coinbase is seeking a Data Engineer Intern to join the Platform product group for a 12-week summer program in 2027. You will build and maintain data pipelines, partner with analytics engineering, and help ensure data accuracy, scalability, and accessibility for analytics and ML use cases.

You will work with senior engineers and cross-functional partners across product and engineering, use Python and cloud platforms, and learn data governance, security, and performance optimization.

Qualifications

• Completed or in-progress coursework in Computer Science, Data Engineering, or equivalent 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.

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

Job description

Coinbase is seeking a Data Engineer Intern to join the Platform product group for a 12-week summer program in 2027. You will build and maintain data pipelines, partner with analytics engineering, and help ensure data accuracy, scalability, and accessibility for analytics and ML use cases.

You will work with senior engineers and cross-functional partners across product and engineering, use Python and cloud platforms, and learn data governance, security, and performance optimization.