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T-Mobile

Senior Data Engineer, AdTech

T-Mobile

. Develop data engineering solutions that enable data pipelines, visualization, and analytical tools to support business requirements .

Posted 11/5/2026full-timeUnited StatesSenior💰 $105,100 - $189,600 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in developing scalable data engineering solutions across cloud platforms, with a strong focus on data pipeline architecture and relational database design. Proven ability to mentor team members and contribute to knowledge sharing while delivering business insights through data exploration and visualization.

Highest-signal resume keywords
Cloud Solutions DevelopmentData Pipeline ArchitectureSQL and NoSQL Database DesignPython ProgrammingCloud Platform Certification

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data Engineering SolutionsData Architecture DesignData WranglingSQLNoSQLPythonDAXJavaScalaGo
Soft Skills
MentoringCollaborationKnowledge SharingProject PlanningCommunication
Tools & Technologies
Amazon Web ServicesAzureGoogle CloudData Visualization ToolsBusiness Analytics Solutions
Certifications & Qualifications
AWS Certified Solutions ArchitectAWS Certified Cloud PractitionerMicrosoft Certified Solutions Associate
Industry Keywords
Data PipelinesData InfrastructureCloud PlatformsData ExplorationBusiness Insights

Tech Stack

Tools & technologies
AWSAzureCloudJavaNoSQLPythonScalaSQLGo

About the role

Key responsibilities & impact
  • 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
  • Perform data wrangling, exploration, and discovery of heterogeneous data to generate new business insights
  • Contribute to team knowledge sharing and advance 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
  • Perform other duties and projects as assigned by business management
  • Collaborate with data engineers to analyze, architect, design, and develop data warehouse and business analytics solutions

Requirements

What you’ll need
  • 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)
  • Cloud platform certification(s), such as 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
  • No travel required
  • Not a DOT-regulated position
  • Not a safety-sensitive position

Benefits

Comp & perks
  • Annual stock grant
  • Employee stock purchase plan
  • 401(k)
  • Free, year-round money coaches
  • Medical, dental and vision insurance
  • Flexible spending account
  • Paid time off
  • Up to 12 paid holidays
  • 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
  • Voluntary long-term care insurance
  • Mobile service and home internet discounts
  • Pet insurance
  • Commuter and transit programs
  • Career growth and development opportunities