Remote Data Engineer Co-op: AI-Driven Pipelines

Universal Music Group; United States; Remote; USD 41,000 - 48,000; Part time

Job summary

Universal Music Group is seeking ambitious data engineering interns for a Spring 2027 US-Remote co-op. You will work under a senior team member to design, build, and maintain data pipelines, data platforms, and analytics infrastructure in a collaborative Agile environment.

This role focuses on scalable systems and hands-on learning in a dynamic music industry setting. You’ll gain exposure to AI-assisted development tools, cloud-based data services, and cross-functional teamwork while

Qualifications

• Pursuing or recently completed degree in CS, Data Engineering, or related field.
• Basic understanding of data pipelines, databases, and ETL/ELT concepts.
• Familiar with Python, SQL or similar languages.
• Experience with AI agentic frameworks or AI-assisted coding tools is a plus.
• Exposure to cloud platforms (Google Cloud, AWS, Azure) is a plus.

Responsibilities

• Support the data platform by building and maintaining data pipelines and databases using APIs and tools like BigQuery.
• Assist in developing cloud-based data platforms and ensure data accessibility for teams.
• Contribute to deploying and testing systems on Google Cloud.
• Help gather data requirements and support data-driven initiatives across teams.
• Research and test new tools or methods to improve workflows and efficiency.
• Apply AI/ML or automation knowledge to prototype and explore data engineering solutions.

Skills

Python

SQL

Data pipelines

AI agentic frameworks

Problem solving

Education

Degree in Computer Science or Data Engineering

Tools

BigQuery

Google Cloud

Airflow

Job description

Universal Music Group is seeking ambitious data engineering interns for a Spring 2027 US-Remote co-op. You will work under a senior team member to design, build, and maintain data pipelines, data platforms, and analytics infrastructure in a collaborative Agile environment.

This role focuses on scalable systems and hands-on learning in a dynamic music industry setting. You’ll gain exposure to AI-assisted development tools, cloud-based data services, and cross-functional teamwork while