Senior Engineer, Data – Finance Domain

T-Mobile

Data Engineer developing data solutions for Finance at T-Mobile. Collaborating with teams to design and implement data architectures, enhancing data quality and support analytics.

Posted 6/20/2026full-timeFrisco • Texas, Washington • 🇺🇸 United StatesSenior💰 $105,100 - $189,600 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudERPETLGoJavaNoSQLPythonScalaSQL

About the role

Key responsibilities & impact

Develop data engineering solutions that enable data pipelines, visualization, analytical tools and AI platforms to support business requirements
Design and develop data architectures across on-premise, cloud, and hybrid platforms to ensure scalable data infrastructure
Build and maintain ingestion pipelines from Finance source systems, including ERP platforms, relational databases, flat files, cloud data warehouses, and API-based feeds, into governed cloud data lake environments
Develop and maintain transformation logic and reusable data models using SQL, Python, Databricks, dbt, and related data engineering tools
Perform data wrangling, exploration, and discovery of heterogeneous data to generate new business insights
Support migration of legacy ETL, batch, and database-driven Finance processes into modern stack
Implement data quality checks, validation rules, monitoring, and reconciliation processes to improve accuracy, completeness, lineage, and timeliness of published data
Contribute to SOX-sensitive and audit-aware data engineering practices, including peer review, version control, change traceability, testing, and reproducible data processing where applicable
Partner with data architects, product managers, Finance domain teams, and engineering peers to translate business requirements into reliable pipeline and data model designs
Contribute to team knowledge sharing and drive the advancement of new data engineering capabilities
Mentor team members to build and enhance their data engineering skills and professional growth
Assist management in product definition, including estimating, planning, and scoping work to meet objectives

Requirements

What you’ll need

Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience
Acceptable areas of study include Computer Engineering, Computer Science, a related subject area
4-7 years Developing cloud solutions using data series; experience with cloud platforms (Amazon Web Services, Azure, or Google Cloud)
4-7 years Hands-on development using and migrating data to cloud platforms
Proven track record in SQL, NoSQL, and/or relational database design and development
4-7 years Advanced knowledge and experience in building sophisticated data pipelines with Python
Experience in languages such as SQL, DAX Python, Java, Scala, and/or Go

Benefits

Comp & perks

medical, dental and vision insurance
flexible spending account
401(k)
employee stock grants
employee stock purchase plan
paid time off and 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 & home internet discounts
pet insurance
access to commuter and transit programs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringdata pipelinesdata architecturesSQLPythonDatabricksdbtETLcloud platformsdata modeling

Soft Skills

mentoringcollaborationknowledge sharingcommunicationproblem-solvingplanningscopingleadershiporganizational skillsbusiness insight generation