Sr Engineers, Data located in Frisco, TX, will serve as the Single-Point-of-Contact (SPOC) for all data, automation, and reporting infrastructure.
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 Wholesale's liaison to T-Mobile's 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: Master's degree in Data Science or related, and 3 year of relevant work experience.
ALTERNATIVE REQUIREMENTS: Bachelor's 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 www.tmobile.jobs.
- Create a candidate profile, and apply to REQ345444.
OTHER: Work hours: 40 hours/week. 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 candidate's 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 employee's 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-Mobile's amazing benefits, check out https://careers.t-mobile.com/culture-and-benefits/.
Candidate's 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 employee's 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 don't 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-Mobile's amazing benefits, check out www.t-mobilebenefits.com.