Summer 2026 Quality Engineering Internship

T-Mobile • Philadelphia, PA

23h • $26 - $47

About The Position

T-Mobile is synonymous with innovation–and you could be part of the team that disrupted an entire industry! We reinvented customer service, brought real 5G to the nation, and now we’re shaping the future of technology in wireless and beyond. Our work is as exciting as it is rewarding, so consider the career opportunity below as your invitation to grow with us, make big things happen with us, above all, #BEYOU with us. Together, we won’t stop! Get hands-on experience, training—and a leg up on a bright future. Learn. Achieve. Build a career. T-Mobile is revolutionizing the wireless industry for millions of customers nationwide. Working here means rolling up your sleeves and redefining the status quo with a team that has your back every step of the way! This is an 11-week paid learning experience during which you’ll be able to connect and network with other interns and leaders within the company. We invite you to come innovate with mentors who will challenge you to develop meaningful skills. You’ll contribute your creativity and outstanding ideas, while working alongside T-Mobile employees. We’ll give you hands-on projects and the chance to create an immediate impact. What It’s Like We’re a team of innovators building the world’s largest marketplace for digital out-of-home (DOOH) transactions, powering the programmatic revolution across billboards, transit screens, and other digital displays. Our platform sits at the core of how advertisers and media owners transact at scale, making data accuracy and reliability mission-critical. The Data Engineering team works hands-on with a modern data platform and tooling that supports both demand and supply-side marketplace experiences. Through high-quality data pipelines and validation, our work directly enables trusted insights, real-time decision-making, and measurable impact across T-Mobile’s digital advertising ecosystem. What You’ll Do As a Data Engineering Intern, you’ll design and build a comprehensive data validation and monitoring suite for our DOOH platforms using SQL and Python. You’ll implement automated checks for schema integrity, data freshness, and anomaly detection across Snowflake and AWS services including S3, Redshift, and RDS. By embedding these validations directly into ETL pipelines, your work will help minimize data downtime and improve the reliability of real-time advertising metrics. Your contributions will enable the team to move from reactive issue resolution to proactive data observability, ensuring stakeholders always have access to trusted, high-fidelity datasets.

Requirements

• Currently pursuing a degree in Computer Science, Data Engineering, Software Engineering, or a related technical field
• Strong SQL skills, including experience with CTEs, window functions, and complex joins across datasets
• Proficiency in Python for data manipulation using libraries such as Pandas or PySpark
• Familiarity with data quality or observability frameworks such as Great Expectations, Soda, or Deequ (preferred)
• Basic understanding of cloud data ecosystems, including AWS S3 and the differences between relational (RDS) and analytical (Snowflake/Redshift) databases
• Experience using Git/GitHub, including submitting pull requests and participating in basic CI/CD workflows
• At least 18 years of age
• Legally authorized to work in the United States
• Must be actively enrolled in a Bachelor's degree program
• Employees of T-Mobile or Metro by T-Mobile are ineligible for Internships

Nice To Haves

• Familiarity with data quality or observability frameworks such as Great Expectations, Soda, or Deequ (preferred)

Responsibilities

• Write unit and integration tests for SQL- and Python-based ETL pipelines to harden data workflows
• Develop monitoring and alerting for data volume changes, freshness issues, and distribution anomalies
• Validate data transformations by comparing source systems (e.g., RDS) to analytical targets (e.g., Snowflake, Redshift)
• Automate data quality checks using Python and SQL within existing data pipelines
• Create and maintain documentation that serves as a source of truth for data lineage, schemas, and business logic

Benefits

• Relocation assistance may be provided to program participants who reside more than 50 miles from the internship location.
• Intern wages range from $26/hour to $47/hour.
• The successful candidate’s actual pay will be based on education/STEM vs non-STEM designation.

What This Job Offers

• Career Level: Intern