Remote Data Engineer Intern: Build Scalable Pipelines for ML

Unchain Data; San Francisco, Northern (CA, KY); Hybrid; USD 59,000 - 80,000; Part time

Job summary

Coinbase is seeking a Data Engineer Intern to partner with analytics engineering and build data pipelines and infrastructure powering insights across the company. You'll work with senior engineers and cross-functional partners to ensure data accuracy, scalability, and accessibility for analytics and machine learning use cases.

This 12-week summer 2027 internship emphasizes data governance, security, and practical API integrations, with a remote-first approach and quarterly in-person surges.

Qualifications

• Pursuing CS/Data Eng coursework with Python proficiency.
• Hands-on SQL experience for data analysis.
• Familiarity with cloud platforms (AWS, GCP, or Azure).
• Exposure to microservices or cloud-native design through coursework or projects.
• Responsible use of generative AI with human oversight.

Responsibilities

• Build and maintain data pipelines ensuring data integrity and accessibility for analytics and ML workloads.
• Support 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, documenting findings and recommendations.
• Learn and apply data governance, security, and performance optimization.

Skills

Python

SQL

Cloud platforms

Data pipelines

AI/ML interest

APIs

Data structures

Education

CS / Data Engineering coursework

Tools

AWS

GCP

Azure

Job description

Coinbase is seeking a Data Engineer Intern to partner with analytics engineering and build data pipelines and infrastructure powering insights across the company. You'll work with senior engineers and cross-functional partners to ensure data accuracy, scalability, and accessibility for analytics and machine learning use cases.

This 12-week summer 2027 internship emphasizes data governance, security, and practical API integrations, with a remote-first approach and quarterly in-person surges.