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Job Overview Are you ready to join the Un-carrier movement? This role is essential for designing and developing data architectures across on-premise, cloud, and hybrid platforms to support organizational data needs. It primarily involves collaborating with data engineers to analyze, architect, design, and develop data warehouse and business analytics solutions.
This role supports the Customer Information domain, which enables trusted customer data across digital, retail, care, partner, individual, and business channels. The Sr. Engineer, Data helps design, build, and operate reliable, scalable data pipelines, reusable data models, standardized schemas, and approved self-service data products that support analytics, marketing, customer experience, fraud detection, and AI/ML use cases.
The role includes mentoring team members to enhance their data engineering skills and capabilities. Success is measured by the effectiveness, reliability, quality, and scalability of data engineering solutions, team skill development, and contribution to data architecture innovation. The work impacts the organization by enabling data-driven decision-making and advancing data infrastructure capabilities for business insights. We are a team that encourages innovation and advocate an agile and open approach, truly working and playing in the Un-carrier way!
Job Responsibilities:
- Develop data engineering solutions that enable data pipelines, visualization, and analytical tools to support business requirements.
- Design and develop data architectures across on-premise, cloud, and hybrid platforms to ensure scalable data infrastructure.
- Architect, build, and maintain reliable data pipelines that ingest, transform, and deliver data from diverse customer and business data sources into enterprise data lake, warehouse, and analytics platforms.
- Design reusable data models and standardized schemas, including Customer 360 and customer behavioral data structures, to support consistent metric definitions and trusted downstream use by analytics, marketing, and AI/ML teams.
- Perform data wrangling, exploration, and discovery of heterogeneous data to generate new business insights.
- Embed data quality practices into pipeline development, including automated checks for completeness, accuracy, timeliness, and governance alignment.
- Build and curate self-service data products, metadata, and documentation that improve data discoverability and enable approved users to access trusted datasets efficiently.
- Partner with analytics, marketing, AI/ML, and business stakeholders to understand data needs, define data contracts, and support scalable customer data use cases.
- Contribute to team knowledge sharing and drive the advancement of new data engineering capabilities.
- Mentor team members to build and enhance their data engineering skillsets and professional growth.
- Assist management in project definition, including estimating, planning, and scoping work to meet objectives.
- Also responsible for other duties/projects as assigned by business management as needed.
Education and Work Experience
- Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)
- Acceptable areas of study include Computer Engineering, Computer Science, a related subject area (Required)
- 4-7 years Developing cloud solutions using data series; experience with cloud platforms (Amazon Web Services, Azure, or Google Cloud) (Required)
- 4-7 years Hands-on development using and migrating data to cloud platforms (Required)
- 4-7 years Experience in SQL, NoSQL, and/or relational database design and development (Required)
- 4-7 years Advanced knowledge and experience in building complex data pipelines with Python, Experience in languages such as SQL, DAX Python, Java, Scala, and/or Go (Required)
Knowledge, Skills and Abilities
- Cloud Computing (Required)
- Collaboration (Required)
- Data Analysis (Required)
- Data Engineering (Required)
- Data Lake (Required)
- Data Management (Required)
- Data Modeling (Required)
- Data Warehousing (DW) (Required)
- Databricks DBRX (Required)
Preferred Qualifications
- 4+ years of experience delivering and operating large-scale Oracle relational database platforms, including performance optimization and database change management on RDBMS and/or NoSQL platforms.
- 5+ years of hands-on experience designing and operating large-scale data pipelines and ETL/ELT workflows in cloud-native environments, such as Databricks, Snowflake, Apache Spark, Kafka, or similar technologies.
- Experience building and maintaining data models and schemas, such as dimensional models, Data Vault, or one big table models, that serve multiple downstream consumers including BI, marketing, analytics, and AI/ML teams.
- Experience with customer data, Customer 360, customer identity, segmentation, eligibility, fraud detection, or customer experience data products.
- Proficiency with PL/SQL and at least one scripting or data engineering language such as Python or Scala.
- Experience with pipeline orchestration, transformation, and automated data quality practices using tools such as Airflow, dbt, or similar technologies.
- Experience with data cataloging, metadata management, governance workflows, and self-service tooling such as Collibra or similar platforms.
- Experience using database change management tools such as Liquibase or similar technologies.
- Experience developing and managing cloud data solutions using AWS services such as RDS, Redshift, Glue, or comparable cloud-native data services.
Licenses and Certifications
- Cloud platform certification(s) i.e. AWS Certified Solutions Architect, AWS Certified Cloud Practitioner or Microsoft Certified Solutions Associate (MCSA) (Preferred)
- At least 18 years of age
- Legally authorized to work in the United States
Travel: Travel Required (Yes/No): Yes
DOT Regulated: DOT Regulated Position (Yes/No): No Safety Sensitive Position (Yes/No): No
Base Pay Range: $105,100 - $189,600
Corporate Bonus Target: 15%
The pay range above is the general base pay range for a successful candidate in the role. The successful candidate’s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.
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. To find the pay range for this role based on hiring location, https://paylookup.t-mobile.com/paylookup?reqID=REQ349533¶dox=1
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, 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.