Engineer, Data [T500-27512]

About T-Mobile: T-Mobile US, Inc. (NASDAQ: TMUS), headquartered in Bellevue, Washington, is America’s supercharged Un-carrier, connecting millions through its strong nationwide network and flagship brands, T-Mobile and Metro by T-Mobile. Customers benefit from an unmatched combination of value, quality, and exceptional service experience.

About TMUS Global Solutions: TMUS Global Solutions is a world-class technology powerhouse accelerating the company’s global digital transformation. With a culture built on growth, inclusivity, and global collaboration, the teams here drive innovation at scale, powered by bold thinking. TMUS India Private Limited operates as TMUS Global Solutions.

About the Role: The Data Engineer designs, builds, and owns end-to-end data pipelines that power analytics, reporting, and data products across the lake house. This role is responsible for ingesting data from source systems, transforming and validating data across bronze, silver, and gold layers, and ensuring high-quality, trusted datasets for downstream consumption. Success in this role is measured by the reliability, scalability, data quality, and business readiness of delivered data assets, as well as strong collaboration with global engineering, analytics, and business partners.

What You’ll Do:

• Design, build, and maintain scalable batch and near–real-time data pipelines across the lakehouse
• Own data ingestion patterns from source systems into bronze layers
• Develop and maintain transformation logic across silver and gold layers using SQL and Python
• Implement data validation, reconciliation, and quality checks to ensure trusted datasets
• Build and optimize data models that support analytics, reporting, and downstream data products
• Partner with analytics, and business teams to understand requirements and implement robust data solutions
• Perform root-cause analysis and resolution of data quality issues and pipeline failures
• Contribute to documentation, operational runbooks, and engineering best practices
• Support production monitoring, incident response, and continuous improvement of data pipelines

What You’ll Bring:

• Bachelor’s Degree or equivalent experience
• 3-5 years of related data engineering experience
• Strong collaboration and problem-solving skills
• Ability to work effectively in a globally distributed team environment

Must Have Skills:

• Advanced SQL development and performance tuning
• Relational database and data warehousing concepts –

SQL or any relational database

• ETL/ELT pipeline fundamentals
• Experience building and supporting data pipelines in a

lakehouse or cloud data platform , Azure Data Factory (strongly preferred)

• Experience with cloud data platforms (

Azure , AWS, or GCP)

• Version control using GitHub or GitLab –

Any Version control

• Databricks , or Snowflake
• Proficiency with Python (or similar language) for data processing and automation

Nice to Have:

• Power BI or similar reporting tools
• Basic data governance and quality concepts
• Familiarity with medallion (bronze/silver/gold) data architecture patterns –

Strongly preferred TMUS India Private Limited, operating as TMUS Global Solutions, has engaged ANSR, Inc. ("ANSR") as its exclusive recruiting partner. That means that any communications regarding TMUS Global Solutions opportunities or employment offers will be issued only through ANSR and the 1Recruit platform. If you receive a communication or offer from another individual or entity, please notify TMUS Global Solutions immediately. TMUS Global Solutions will never seek any payment or other compensation during the hiring process or request sensitive personal data (such as bank details or government-issued identification numbers) prior to a candidate’s acceptance of a formal offer.