• Job Description

  Req#: REQ253682

  Be unstoppable with us!
  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 a 12-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 to creativity and outstanding ideas, while working alongside T-Mobile employees. We'll give you hand-on projects and the chance to create an immediate impact.

  WHAT IT'S LIKE:

  The Consolidated Subscriber Reporting team processes subscriber and billing data that is used by many financial and accounting groups. Our daily operations include producing a daily summary report that is viewed by our senior leadership team and CEO.
  
  A Data Engineer will work closely with data science, architecture, analysts, and product owners to build and maintain high-quality, scalable data solutions. This includes building solutions for optimal extraction, transformation and loading of data from a wide variety of data sources to data lakes, warehouses etc. in both batch and streaming modes.
  
  Understand a wide range of different types of source data systems across the organization, including but not limited to Snowflake, Teradata, SQL Server, and Hadoop environments Interpret data models both logical and physical.
  Ingest data into data lake and data warehouses on technologies such as Snowflake, Teradata and Azure Synapse.
  
  Ensure continuous integration and continuous deployment practices are followed.
  Collaborate with architects and other data engineers on design.
  
  Transform and merge data using data processing tools like Databricks, Python, and scripting. Understand, comply, and build security features (encryption, masking, and tokenization) on data technology platforms.
  

  WHAT YOU'LL DO:

  Not sure of the project but the most recent intern researched and presented on optimization of scheduled data processing jobs.
  Open to you and your assigned mentor proposing an impactful project.

  KEY RESPONSIBILITIES:

  Understand and modify existing and create new data ingestion processes.
  Optimize queries, code, and overall processing.
  Perform problem analysis and resolution.
  Determine and work intern project.

  WHAT IT TAKES:

  Basic conceptual knowledge in following categories of tools
  Cloud Platforms - Azure (AWS or GCP is nice to have)
  Big Data Platforms – Snowflake (preferred), Teredata, Hadoop
  Data Tools and Workload Processors - Databricks, Snowflake, Azure Data and Analytics services
  Data Lake and Data Warehouse concepts
  Building data pipelines via tools - Apache Spark, Apache Kafka
  Programming Languages - Java, Scala or Python (any 1)
  DevOps, deployment pipelines, Jira, and GitLab
  
  Strong analysis and problem solving ability
  Ability to work both independently and as part of a team
  Intermediate documentation and writing skill
  

  At least 18 years of age

  Legally authorized to work in the United States

  High School Diploma or GED

  Must be actively enrolled in a degree program or graduated with the last year

  Employees of T-Mobile or Metro by T-Mobile are ineligible for Internships

  Employers does not sponsor work visas for this position. Note that this also applies to individuals who are students of F-1 status who desire sponsorship after they complete their education.

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

  Intern wages range from $20/hour to $40/hour. The successful candidate’s actual pay will be based on experience/location.

  Never stop growing!
  T-Mobile doesn’t have a corporate ladder–it’s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it’s that shared drive to aim high that drives our business and our culture forward.
  
  If you’d like to receive more information about careers at T-Mobile, sign up for the T-Mobile Talent Community today! https://www.tmobile.careers/profile/join/
  
  T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.
  
  Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.

• About the company

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