T-Mobile
Overview
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! Advertising, meet the Un-carrier. We are standing up for Consumers and Advertisers to redefine an industry. We are building an advertising platform that allows brands and advertising agencies to engage real audiences with a customer-centric, privacy-first approach. This is not a product internal to T-Mobile; but one that is used by all the major advertising agencies in the United States and many top consumer product brands. Our team builds the enabling technology behind this revolution, and we are a fast-moving team that builds, runs, and operates the T-Mobile Advertising Solutions platforms, including audience building, rideshare, and retail media network solutions. If you thrive on collaborating with cross-functional teams to solve complex data challenges, designing scalable data architectures, and deploying robust data pipelines to the cloud, we want to talk to you. We’re looking for a Sr Software Engineer-Data who brings strong technical judgment, a product-oriented mindset, and the ability to own data solutions end-to-end—from architecture and modeling to implementation and delivery—in a dynamic AdTech environment. Responsibilities
Develop data engineering solutions, design and develop data pipelines to support Product, business and Data Science teams specific data needs. Design and develop data architectures in on-premise, cloud and hybrid platforms Collaborate with cross-functional teams—including product, security, privacy, operations, and partners—to understand data needs, define and deliver features, model data using relational and NoSQL systems, and develop pipelines that are scalable, repeatable, secure, and aligned with data quality standards. Drive automation and optimization of data workflows using AI/ML techniques. 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 Work Experience
5+ years of experience in designing and building scalable data systems, including both batch and event driven data pipelines. 3+ years of experience working with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Cassandra), including schema design, performance tuning, and optimization. 2+ years of experience building and maintaining cloud-native data platforms using AWS, Azure, or GCP, with hands-on experience in services like Redshift, BigQuery, Snowflake, or Databricks. 3+ years of experience implementing DevOps practices and infrastructure as code using tools like Terraform, CloudFormation Strong programming skills in Python, SQL, with experience building data tooling and APIs. Solid understanding of distributed systems, data modeling, and microservices architecture. Familiarity with data security best practices, including encryption, access control, and privacy-forward design principles. Passion for solving complex problems, learning new technologies, and enabling AI innovation through robust data engineering At least 18 years of age Legally authorized to work in the United States Travel & Compliance
Travel Required (Yes/No): Yes DOT Regulated Position (Yes/No): No Safety Sensitive Position (Yes/No): No Compensation
Base Pay Range: $113,600 - $205,000 Corporate Bonus Target: 15% The pay range above is the general base pay range for a successful candidate in the role. The actual pay will be based on factors such as location, qualifications, and experience. Benefits
At T-Mobile, employees in regular roles are eligible for an annual bonus or periodic incentives. Full and part-time employees have access to medical, dental, vision, 401(k), employee stock grants, employee stock purchase plan, paid time off and holidays, parental and family leave, family building benefits, and other programs. Eligible employees can also receive mobile service and home internet discounts, pet insurance, and commuter benefits. For more, please review the benefits information on the company site. Equal Opportunity
T-Mobile USA, Inc. is an Equal Opportunity Employer. Decisions concerning employment are made without regard to age, race, ethnicity, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, or any other status protected by law. Discrimination or harassment based on these factors is not tolerated. If accommodation is needed during the application or interview process, please email ApplicantAccommodation@t-mobile.com or call 1-844-873-9500.
#J-18808-Ljbffr
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! Advertising, meet the Un-carrier. We are standing up for Consumers and Advertisers to redefine an industry. We are building an advertising platform that allows brands and advertising agencies to engage real audiences with a customer-centric, privacy-first approach. This is not a product internal to T-Mobile; but one that is used by all the major advertising agencies in the United States and many top consumer product brands. Our team builds the enabling technology behind this revolution, and we are a fast-moving team that builds, runs, and operates the T-Mobile Advertising Solutions platforms, including audience building, rideshare, and retail media network solutions. If you thrive on collaborating with cross-functional teams to solve complex data challenges, designing scalable data architectures, and deploying robust data pipelines to the cloud, we want to talk to you. We’re looking for a Sr Software Engineer-Data who brings strong technical judgment, a product-oriented mindset, and the ability to own data solutions end-to-end—from architecture and modeling to implementation and delivery—in a dynamic AdTech environment. Responsibilities
Develop data engineering solutions, design and develop data pipelines to support Product, business and Data Science teams specific data needs. Design and develop data architectures in on-premise, cloud and hybrid platforms Collaborate with cross-functional teams—including product, security, privacy, operations, and partners—to understand data needs, define and deliver features, model data using relational and NoSQL systems, and develop pipelines that are scalable, repeatable, secure, and aligned with data quality standards. Drive automation and optimization of data workflows using AI/ML techniques. 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 Work Experience
5+ years of experience in designing and building scalable data systems, including both batch and event driven data pipelines. 3+ years of experience working with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Cassandra), including schema design, performance tuning, and optimization. 2+ years of experience building and maintaining cloud-native data platforms using AWS, Azure, or GCP, with hands-on experience in services like Redshift, BigQuery, Snowflake, or Databricks. 3+ years of experience implementing DevOps practices and infrastructure as code using tools like Terraform, CloudFormation Strong programming skills in Python, SQL, with experience building data tooling and APIs. Solid understanding of distributed systems, data modeling, and microservices architecture. Familiarity with data security best practices, including encryption, access control, and privacy-forward design principles. Passion for solving complex problems, learning new technologies, and enabling AI innovation through robust data engineering At least 18 years of age Legally authorized to work in the United States Travel & Compliance
Travel Required (Yes/No): Yes DOT Regulated Position (Yes/No): No Safety Sensitive Position (Yes/No): No Compensation
Base Pay Range: $113,600 - $205,000 Corporate Bonus Target: 15% The pay range above is the general base pay range for a successful candidate in the role. The actual pay will be based on factors such as location, qualifications, and experience. Benefits
At T-Mobile, employees in regular roles are eligible for an annual bonus or periodic incentives. Full and part-time employees have access to medical, dental, vision, 401(k), employee stock grants, employee stock purchase plan, paid time off and holidays, parental and family leave, family building benefits, and other programs. Eligible employees can also receive mobile service and home internet discounts, pet insurance, and commuter benefits. For more, please review the benefits information on the company site. Equal Opportunity
T-Mobile USA, Inc. is an Equal Opportunity Employer. Decisions concerning employment are made without regard to age, race, ethnicity, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, or any other status protected by law. Discrimination or harassment based on these factors is not tolerated. If accommodation is needed during the application or interview process, please email ApplicantAccommodation@t-mobile.com or call 1-844-873-9500.
#J-18808-Ljbffr