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:

• Design and develop data architectures in on-premises cloud and hybrid platforms.
• Perform data wrangling of heterogeneous data exploration and discovery in pursuit of new business insights.
• Actively contribute to the teams knowledge and drive new capabilities forward.
• Mentor other team members in their efforts to build data engineering skillsets.
• Assist team management in defining projects including helping estimate plan and scope work.
• Prepare and contribute to presentations required by management.
• Participate in architecture and design of various software and Data warehousing components focused on creating applications that leverage technologies such as virtualization using Denodo Cloud platforms Azure Data Factory Azure Databricks and Snowflake Data platforms and technologies.
• Analyze code coverage using industry standard tools such as GitLab GitGaurdian and Jenkins ensure automated tests are integrated into the Continuous Delivery Pipeline and design develop and maintain automation systems and tools to be used by development and test engineers.
• Apply knowledge and experience in ETL Validation using SQL queries as well as knowledge and experience on Database Management Tools and cloud technologies (e.g.: Microsoft SQL Server Teradata Oracle Snowflake Azure Databricks).
• Act as a liaison with the end-to-end test execution team write and execute automated and manual tests to provide an ongoing measure of the quality of the product and apply Automation tool experience.
• Analyze code coverage using industry standard tools such as GitLab GitGaurdian and Jenkins ensure automated tests are integrated into the Continuous Delivery Pipeline and design develop and maintain automation systems and tools to be used by development and test engineers.
• Develop and integrate Agentic AI systems that autonomously orchestrate data workflows perform contextual reasoning and trigger downstream analytics or reporting actions.
• Collaborate with cross-functional teams to identify opportunities to embed AI agents in data governance metadata curation and business process automation.
• Telecommuting is permitted but applicants must live within a reasonable commuting distance.
• No additional national or international travel is anticipated.

Skill requirements:

• Designing and developing cloud-based data engineering solutions to ingest process and deliver large-scale structured and semistructured data for enterprise analytics operational reporting and feeds for downstream applications enabling downstream analytics and operational reporting use cases including supply chain analytics inventory reporting planning and order fulfillment;
• Applying SQL relational modeling and database development to build curated datasets dimensional models and governed reporting layers used for business intelligence device sales reporting product analytics and operational dashboards;
• Building streaming pipelines to ingest near real-time transformation and enrichment of event data (including clickstream application logs telemetry or transactional events) and performing filtering aggregation and incremental computations delivering low-latency datasets for operational dashboards anomaly detection inputs and time-sensitive analytics;
• Diagnosing issues across ingestion transformation and serving layers using pipeline logs query plans reconciliation checks and data quality validations. Using data engineering technologies (including ETL/ELT frameworks orchestration tools SQL engines distributed processing and reporting/BI platforms) to address challenges such as improving end-to-end visibility for order-to-delivery and shipment tracking and reducing stockouts/overstock by improving inventory accuracy and timeliness; and
• Applying AI/ML tools and frameworks to supply chain use cases that improve planning effectiveness operational execution and exception handling. Using managed AI/ML platforms to support AI/ML workflows including experimentation evaluation and deployment such as demand signal enhancement lead time estimation ETA prediction inputs anomaly detection in inventory/shipment patterns and prioritization of operational exceptions.

Experience and education requirements:

PRIMARY REQUIREMENTS: Bachelors Degree in Computer Engineering Computer Science Information Technology or related field or its foreign equivalent and 5 years of relevant work experience.

ALTERNATIVE REQUIREMENTS: Masters Degree in Computer Engineering Computer Science Information Technology or related field or its foreign equivalent and 3 years of relevant work experience.

• Location: Atlanta GA

• This position is eligible for the employee referral program.

How to apply:

• Visit a candidate profile and apply to REQ368430.

OTHER: Work hours: 40 hours/week. Georgia Pay Range: $152131.00 to $160000.00/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

• 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

Candidates 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.