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Position summary

T-Mobile is America’s supercharged Un-carrier, delivering an advanced 4G LTE and transformative nationwide 5G network that will offer reliable connectivity for all. Sr Engineers, Data located in Atlanta, GA will develop data engineering solutions, including data pipelines, visualization, and analytical tools.

Position duties and responsibilities include, but are not limited to:

Design and implement scalable data architectures across on-premises and cloud environments, building core platform components, defining integration patterns, and ensuring performance, security, and governance standards are consistently applied. Execute advanced performance tuning and optimization, including SQL query refactoring, indexing, and partitioning strategies, Spark job optimization, and workload management to support high-volume, mission-critical data systems. Collaborate with product owners and business stakeholders to translate functional requirements into technical designs, detailed task breakdowns, and scalable implementation plans, while delivering core development components. Support production operations and incident resolution for data platforms, proactively monitoring pipelines and workloads, troubleshooting performance bottlenecks, and implementing enhancements to improve data processing. Develop complex data wrangling and exploratory workflows across relational, semi-structured, and streaming data sources, implementing scalable transformation logic and optimizing ingestion pipelines to deliver reliable, analytics-ready datasets. Implement and maintain data governance, quality, and monitoring frameworks, including data validation rules, logging mechanisms, metadata management, and lineage tracking to ensure data accuracy, auditability, and compliance with enterprise standards. Provide hands-on mentorship and technical guidance to team members, supporting skill development in ETL/ELT design, distributed processing, cloud data engineering, and DevOps automation. Promote engineering best practices through active participation in design reviews, code reviews, and CI/CD pipeline implementation, ensuring high-quality, testable, and production-ready data and ML deployments. Create and maintain technical documentation, architecture diagrams, and deployment standards, supporting knowledge sharing, maintainability, and operational continuity.

Specific Skills Requirement - must have educational or professional experience in:

Experience (1): Architect, design, and implement scalable enterprise data platforms across on-premises, cloud, and hybrid environments. Develop modern data architectures leveraging Microsoft Fabric, Azure Data Lake (ADLS), Snowflake, PostgreSQL, and MS SQL Server to support analytics, reporting, and AI initiatives. ⁠Experience (2): Leverage Azure Databricks to develop scalable distributed data transformation, cleansing, and feature engineering processes. Productionize notebooks into automated jobs using CI/CD pipelines to deploy enterprise AI/ML solutions. Experience (3): Design and develop end-to-end ETL/ELT pipelines using Python-based scripting and distributed processing frameworks. Build robust workflows to ingest, cleanse, transform, and integrate structured, semi-structured, and unstructured data from heterogeneous sources into operational data stores and enterprise data warehouses. Experience (4): Develop high-performance data models and optimize SQL queries, indexing strategies, partitioning, and stored procedures to ensure scalability, performance, and data integrity across large-scale datasets. Experience (5): Build predictive analytics and machine learning solutions using Python and prepare feature-engineered datasets and support model training, testing, and deployment pipelines. Experience (6): Implement DevOps and CI/CD best practices using GitLab, including repository management, version control strategies, automated testing, pipeline configuration, and deployment of data engineering and ML workloads.

Experience and education requirements:

PRIMARY REQUIREMENTS: Master’s degree in Computer Engineering, Computer Science, or a related subject area, and 3 years of relevant work experience.

ALTERNATIVE REQUIREMENTS: Bachelor’s degree in Computer Engineering, Computer Science, or a related subject area, and 5 years of relevant work experience.

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.

Additional:

• Location: Atlanta, GA

• This position is eligible for the employee referral program.

How to apply:

• Visit www.tmobile.jobs.

• Create a candidate profile and apply to requisition number REQ371825.

OTHER:

Work hours: 40 hours/week. Salary: $164,736.00 to $169,700.00/year.

• At least 18 years of age

• Legally authorized to work in the United States

Travel

:
Travel Required (Yes/No): No

DOT Regulated

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

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.

Never stop growing!

As part of the T-Mobile team, you know the Un-carrier doesn’t have a corporate ladder–it’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 growth–and 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, genetic information, 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.