Sr Engineers, Data

T-Mobile USA, Inc. seeks Sr Engineers, Data in Frisco, TX to serve as the Single-Point-of-Contact (SPOC) for all data, automation, and reporting infrastructure. 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.

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.

In addition, the following skills are required: (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 Open AI APIs, enabling AI-assisted querying, model training, and scalable data augmentation for future-ready insights.

Texas Pay Range: $156,998.00 to $164,300.00/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 https://careers.t-mobile.com/culture-and-benefits/.

To apply, interested candidates should email their resumes to Amy Lockman at

amy.lockman1@t-mobile.com and reference REQ345444. EOE

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