Engineer, Data [T500-22130]

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 India Private Limited operates as TMUS Global Solutions.

Engineer, Data - Data Operations (L08)

About the Role:

Engineer, Data – Data Operations is responsible for designing, developing, and supporting scalable data architectures and ingestion pipelines across on-premises, cloud, and hybrid platforms to meet enterprise data and analytics needs in a highly dynamic 24x7 operational environment. This role builds resilient, scalable, cloud-native systems that integrate software engineering, infrastructure, and operations to drive automation, efficiency, and reliability. This position is central to T-Mobile’s Data Operations Center of Excellence, enabling operational reliability, automation, and compliance for platforms like Snowflake, Databricks, and Azure. The engineer collaborates across teams, drives technical excellence, and champions a culture of accountability, systems thinking, and continuous improvement. This position bridges DevOps, Data Ops, and Platform Operations disciplines and directly supports T-Mobile’s builder culture and cloud transformation strategy.

What You’ll Do:

What You’ll Bring:

Must Have Skills:

Nice to Have:

• Design and develop data engineering solutions that enable data ingestion pipelines, visualization, and analytical tools to meet business requirements
• Architect and implement scalable data platforms across on-premises, cloud, and hybrid environments
• Build and optimize data pipelines to improve data delivery, reliability, and performance
• Automate manual processes using Python, Spark, Databricks, SQL, and cloud technologies
• Contribute to team knowledge sharing and advancement of data engineering standards
• Support project definition activities including estimation, planning, and scoping
• Foster a collaborative, influence-driven team culture with high individual accountability and technical depth
• Support continuous improvement initiatives and perform other duties as assigned
• Bachelor’s Degree in Computer Science, Computer Engineering, or a related field, or equivalent practical experience
• 3–5 years of hands-on experience designing, building, and supporting data engineering and ingestion solutions
• Experience developing and migrating data solutions across cloud platforms (Azure, AWS, GCP)
• Experience automating data pipelines using Python and modern cloud-native technologies
• Strong analytical and problem-solving skills applied to complex data ingestion and integration challenges
• Ability to manage multiple workstreams with strong organizational and prioritization skills
• Passion for learning and applying new data engineering and platform technologies
• Experience working in collaborative, cross-functional teams with high accountability
• Experience designing, building, and optimizing data ingestion pipelines using

  Python

  and

  SQL

• Hands-on experience with cloud-native data platforms and services, including

  ADF, ADLS

  , Databricks, and Snowflake
• Experience triaging and remediating code and data issues in complex

  ETL/ELT

  pipelines
• Familiarity with CI/CD and

  DevOps

  practices, including Git, pipelines, automated testing, and deployments
• Experience with SQL, NoSQL, Vector, and

  relational database design and development

• Proficiency in data pipeline development using Python and experience with languages such as DAX, Java, Scala, and/or Go
• Working knowledge of message queuing, stream processing, and scalable big-data data stores
• Ability to manage and support batch and streaming data pipelines across enterprise and cloud platforms
• Experience with data visualization tools such as Power BI, Tableau, Metric Insights, or Qlik Sense
• Experience with data virtualization tools such as Denodo or analytical tools such as SAS
• Experience with on-prem platforms such as Hadoop
• Experience contributing to data architecture standards and ingestion framework design
• Experience supporting analytics and business intelligence use cases at scale
• Exposure to advanced data orchestration, real-time ingestion, or event-driven architectures

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.