Sr Engineers, Data

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. Thats how were UNSTOPPABLE for our employees!

Position duties and responsibilities include but are not limited to:

• Architect and implement robust data pipelines and systems that support large-scale ingestion transformation and delivery of data across hybrid cloud environments.

• Evolve the current infrastructure to be more modular cloud-native and ML-ready ensuring high availability and performance across Wholesale analytics needs.

• Act as the technical lead and SME for AI/ML technologies within Wholesale influencing the roadmap by identifying opportunities where machine learning can drive measurable business value.

• Design and support pipelines that facilitate the deployment and monitoring of ML models in production in collaboration with data science partners.

• Contribute to the governance and ethical application of AI helping define best practices for responsible ML usage across the organization.

• Mentor junior engineers and analysts in the Wholesale organization on cloud-native architecture and advanced analytics.

• Partner with other teams to ensure alignment with enterprise standards and to facilitate data democratization across the business.

• Continue to serve as Wholesales liaison to T-Mobiles ETS Security Product Owners and external vendors such as Snowflake Salesforce Alteryx AWS and Microsoft.

• Shape data governance and technical standards in partnership with stakeholders to maintain secure and compliant data environments.

• Lead the design and deployment of reusable frameworks for real-time and batch data processing using technologies such as Spark Python SQL and Azure Data Factory.

• Drive initiatives to automate repetitive tasks enhance data quality and streamline reporting/analytics for end-users.

• Collaborate with senior business leaders to translate strategic objectives into data initiatives and support long-term roadmapping of data and AI capabilities within Wholesale.

• Explore emerging data technologies including generative AI feature stores and ML Ops that can shape the next generation of Wholesale data systems.

• Telecommuting is permitted but applicant must work from the worksite location at least 3-4 days per week. No additional national or international travel is anticipated.

Skill requirements:

• (1) Architecting and optimizing cross-platform ETL frameworks spanning Snowflake SQL Server Azure Netcracker Databricks and Google Analytics enabling robust scalable data ecosystems that power advanced analytics and AI workloads.

• (2) Designing and implementing intelligent automation strategies using tools that include Alteryx Power Automate and Snowflake schedulers to streamline complex data flows eliminate redundancy and strengthen enterprise data reliability.

• (3) Acting as a strategic data subject matter expert stewarding integrated data lab environments in Snowflake and SQL Server and leading unified data ingestion efforts that promote a centralized and governed analytics infrastructure.

• (4) Being a champion for data-driven storytelling through Power BI including advanced Gateway configuration self-service enablement and integration of AI-assisted insights via Microsoft Copilot and Snowflake Cortex to accelerate business intelligence delivery.

• (5) Leading innovation in secure virtualized analytics environments by managing Polaris-based vRA systems to ensure cybersecurity compliance and maximize remote analytics capabilities.

• (6) Advancing next-gen analytics capabilities by integrating AI into reporting workflows using Microsoft Copilot and OpenAI APIs enabling AI-assisted querying model training and scalable data augmentation for future-ready insights.

Experience and education requirements:

PRIMARY REQUIREMENTS: Masters degree in Data Science or related and 3 year of relevant work experience.

ALTERNATIVE REQUIREMENTS: Bachelors degree in Data Science or related and 5 years of relevant work experience.

Additional:

• At least 18 years of age

• Legally authorized to work in the United States

• This position is eligible for the employee referral program.

• Location: Frisco TX

Travel:
Travel Required (Yes/No): No

DOT Regulated:
DOT Regulated Position (Yes/No): No
Safety Sensitive Position (Yes/No): No

How to apply:

• Visit .

• Create a candidate profile and apply to REQ345444.

OTHER: Work hours: 40 hours/week. Texas Pay Range: $156998.00 to $164300.00/year.

The pay range above is the general base pay range for a successful candidate in the state listed. The successful candidates actual pay will be based on various factors such as work location qualifications and experience.

At T-Mobile employees in regular non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employees eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance while Retail and Business Sales roles are eligible for monthly or quarterly sales incentives. And since we are ALL owners EVERY employee at T-Mobile is eligible for an Annual Stock Grant. For information about T-Mobiles amazing benefits check out pay will be based on various factors such as work location qualifications and experience. At T-Mobile employees in regular non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employees eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance.

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 dont stop there - eligible employees can also receive mobile service & home internet discounts pet insurance and access to commuter and transit programs! To learn about T-Mobiles amazing benefits check out.

Never stop growing!
As part of the T-Mobile team you know the Un-carrier doesnt have a corporate ladderits more like a jungle gym of possibilities! We love helping our employees grow in their careers because its that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity youre living our values while investing in your career growthand we applaud it. Youre 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.

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