T Mobile US
Senior Data Engineer
At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That's how we're UNSTOPPABLE for our employees! Job Overview
As a Senior Data Engineer for the Product Innovation Team, you will play a pivotal role in designing, building, and optimizing data pipelines and architectures that power data-driven products and insights. Working at the intersection of product and engineering, you will collaborate closely with product managers, data scientists, and business stakeholders to deliver scalable, high-performance data solutions across cloud, on-premise, and hybrid environments. You'll be responsible for architecting and implementing robust data infrastructure to support data monetization strategies, ensuring data is accessible, reliable, privacy compliant, and well-structured for advanced analytics and machine learning applications. As a Sr. Engineer, you will mentor and provide guidance to junior engineers to help develop and enhance our collective skill set. Experience in advertising or digital media is a strong plus, especially familiarity with data pipelines and architectures that support targeting, measurement, or optimization use cases. Job Responsibilities
Develop data engineering solutions, including data pipelines, visualization and analytical tools Design and develop data architectures in on-premise, cloud and hybrid platforms Data wrangling of heterogeneous data, exploration and discovery in pursuit of new business insights Actively contribute to the team's knowledge and drive new capabilities forward Mentor other team members in their efforts to build data engineering skillsets Assist team management in defining projects, including helping estimate, plan and scope work Prepare and contribute to presentations required by management Education and Work Experience
Bachelor's Degree Computer Engineering, Computer Science, a related subject area or equivalent experience (Required) 5 years developing cloud solutions using data series; experience with cloud platforms (Amazon Web Services, Azure, or Google Cloud) Required Hands-on development using and migrating data to cloud platforms Required Experience in SQL, NoSQL, and/or relational database design and development Required Advanced knowledge and experience in building complex data pipelines with Python, Experience in languages such as SQL, DAX Python, Java, Scala, and/or Go Required Knowledge, Skills and Abilities
Analytical approach to problem-solving; ability to use technology to tackle business problems (Preferred) Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores (Preferred) Ability to manage work across multiple projects, good organizational skills (Preferred) Passionate about learning new technologies (Preferred) Licenses and Certifications
Cloud platform certification(s) i.e. AWS Certified Solutions Architect, AWS Certified Cloud Practitioner or Microsoft Certified Solutions Associate (MCSA) (Preferred) The pay range above is the general base pay range for a successful candidate in the role. The successful candidate's actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range. At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! Never stop growing! As part of the T-Mobile team, you know the Un-carrier doesn't have a corporate ladderit'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. By applying for this career opportunity, you're living our values while investing in your career growthand we applaud it. You're unstoppable! 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.
At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That's how we're UNSTOPPABLE for our employees! Job Overview
As a Senior Data Engineer for the Product Innovation Team, you will play a pivotal role in designing, building, and optimizing data pipelines and architectures that power data-driven products and insights. Working at the intersection of product and engineering, you will collaborate closely with product managers, data scientists, and business stakeholders to deliver scalable, high-performance data solutions across cloud, on-premise, and hybrid environments. You'll be responsible for architecting and implementing robust data infrastructure to support data monetization strategies, ensuring data is accessible, reliable, privacy compliant, and well-structured for advanced analytics and machine learning applications. As a Sr. Engineer, you will mentor and provide guidance to junior engineers to help develop and enhance our collective skill set. Experience in advertising or digital media is a strong plus, especially familiarity with data pipelines and architectures that support targeting, measurement, or optimization use cases. Job Responsibilities
Develop data engineering solutions, including data pipelines, visualization and analytical tools Design and develop data architectures in on-premise, cloud and hybrid platforms Data wrangling of heterogeneous data, exploration and discovery in pursuit of new business insights Actively contribute to the team's knowledge and drive new capabilities forward Mentor other team members in their efforts to build data engineering skillsets Assist team management in defining projects, including helping estimate, plan and scope work Prepare and contribute to presentations required by management Education and Work Experience
Bachelor's Degree Computer Engineering, Computer Science, a related subject area or equivalent experience (Required) 5 years developing cloud solutions using data series; experience with cloud platforms (Amazon Web Services, Azure, or Google Cloud) Required Hands-on development using and migrating data to cloud platforms Required Experience in SQL, NoSQL, and/or relational database design and development Required Advanced knowledge and experience in building complex data pipelines with Python, Experience in languages such as SQL, DAX Python, Java, Scala, and/or Go Required Knowledge, Skills and Abilities
Analytical approach to problem-solving; ability to use technology to tackle business problems (Preferred) Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores (Preferred) Ability to manage work across multiple projects, good organizational skills (Preferred) Passionate about learning new technologies (Preferred) Licenses and Certifications
Cloud platform certification(s) i.e. AWS Certified Solutions Architect, AWS Certified Cloud Practitioner or Microsoft Certified Solutions Associate (MCSA) (Preferred) The pay range above is the general base pay range for a successful candidate in the role. The successful candidate's actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range. At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! Never stop growing! As part of the T-Mobile team, you know the Un-carrier doesn't have a corporate ladderit'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. By applying for this career opportunity, you're living our values while investing in your career growthand we applaud it. You're unstoppable! 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.