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T-Mobile Logo T-Mobile · IT - Software Development

Summer 2026 Quality Engineering Internship

United States, Philadelphia 26.00 - 47.00 USD / Hour · Job Posted February 17, 2026
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Job Description

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. 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.

Job Responsibility

  • 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

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 have

Familiarity with data quality or observability frameworks such as Great Expectations, Soda, or Deequ

What we offer

Relocation assistance may be provided to program participants who reside more than 50 miles from the internship location

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