Summer 2027 Data Engineering Internship

T-Mobile • Frisco, TX

1d • $27 - $50

About The Position

T-Mobile is offering an 11-week paid learning experience for a Data Engineering Intern. The intern will work on a real business project with mentorship and training, collaborating with engineers and other teams to build and operate data pipelines and platforms. These systems turn network, customer, and operational data into trusted insights for analytics, reporting, and business decision-making, using modern cloud and big data tools.

The intern will own a project to design, build, and test a data pipeline for a real business use case. The work includes ingesting, transforming, and validating data from multiple sources and improving data quality, speed, and availability. At the end of the summer, the intern will present project results to team leaders.

Applicants must be currently pursuing a bachelor's or master's degree in computer science, data science, or a related field, and must have at least one course remaining in the degree program after the internship. Candidates must be at least 18 years old and legally authorized to work in the United States now and in the future. Current T-Mobile or Metro by T-Mobile employees are ineligible for external summer internships. Relocation assistance is available to program participants who live more than 50 miles from the internship location. Intern wages range from $27 to $50 per hour; actual pay depends on education and STEM designation.

Requirements

• Currently pursuing a bachelor's or master's degree in computer science, data science, or a related field.
• Must have one or more courses remaining in a bachelor's or graduate degree program after the internship.
• Experience with SQL and Python or Java.
• At least 18 years of age.
• Legally authorized to work in the United States now and in the future.
• Strong communication skills and willingness to learn.

Nice To Haves

• Familiarity with cloud platforms; AWS is preferred.
• Familiarity with Git.
• Coursework or projects in databases, data structures, or big data.

Responsibilities

• Develop and test ETL/ELT pipelines using SQL and Python.
• Ingest and transform data from multiple sources into the cloud data platform.
• Implement data quality checks, monitoring, and documentation.
• Collaborate in agile ceremonies, code reviews, and team meetings.
• Present project outcomes and learnings to the team and leadership.
• Design, build, and test a data pipeline for a real business use case.
• Work with engineers to validate data and improve its quality, speed, and availability.

Benefits

• Paid 11-week learning experience with training and hands-on projects.
• Mentorship and opportunities to build relationships with interns and company leaders.
• Relocation assistance for program participants residing more than 50 miles from the internship location.

What This Job Offers

• Career Level: Intern