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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. Our team drives enterprise data engineering, advanced analytics, and AI innovation to enable data-driven decision-making across T-Mobile. We design and maintain scalable cloud data platforms and pipelines that power executive dashboards, operational insights, and strategic initiatives. By leveraging AI, machine learning, and emerging technologies such as LLMs and generative AI, we help automate processes, provide customer and network insights, and accelerate innovation. Scope of work includes architecting Onprem and cloud-based data solutions using Kubernetes, Azure, and Snowflake, building resilient ETL/ELT frameworks, and developing production-grade AI/ML systems. Focus on translating complex business challenges into scalable analytics and AI solutions that improve efficiency, performance, and strategic outcomes across the organization.
Job Responsibility:
Assist in designing, developing, and maintaining scalable data pipelines and curated datasets to support analytics and AI use cases
Support ETL/ELT development and optimization using Azure Data Factory (ADF), SQL, and Snowflake
Perform data analysis, data quality validation, and exploratory analysis to generate actionable insights
Contribute to AI/ML experimentation, including feature engineering, model development, and evaluation under senior guidance
Develop dashboards and reports using Power BI or Tableau to support business and operational decision-making
Requirements:
Pursuing a Bachelor’s or Master’s degree in Computer Science or information technology
Academic or project experience in Python, SQL, data structures, and data analytics
Exposure to cloud platforms through coursework, labs, or certifications
Familiarity with data warehousing concepts and tools such as Snowflake or similar platforms
Hands-on experience (academic, internship, or personal projects)
Foundational knowledge of AI
Experience building dashboards using Power BI, Tableau, or similar BI tools
At least 18 years of age
Legally authorized to work in the United States
Must be actively enrolled in a Bachelors or Graduate degree program
Employees of T-Mobile or Metro by T-Mobile are ineligible for Internships
Employer does not sponsor work visas for this position
What we offer:
Relocation assistance may be provided to program participants who reside more than 50 miles from the internship location