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About the Role

This role is essential for designing and developing data architectures across on-premise, cloud, and hybrid platforms to support organizational data needs. It primarily involves collaborating with data engineers to analyze, architect, design, and develop data warehouse and business analytics solutions. The role includes mentoring team members to enhance their data engineering skills and capabilities. Success is measured by the effectiveness of data engineering solutions, team skill development, and contribution to data architecture innovation. The work impacts the organization by enabling data-driven decision-making and advancing data infrastructure capabilities for business insights.

Responsibilities

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 drive the advancement of 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
Responsible for other duties/projects as assigned by business management as needed

Requirements

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
4-7 years Experience in SQL, NoSQL, and/or relational database design and development
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
At least 18 years of age
Legally authorized to work in the United States

Skills

Data pipelines
Data visualization
Analytical tools
Data architecture
On-premise platforms
Cloud platforms
Hybrid platforms
Data warehousing
Business analytics
Data wrangling
Data exploration
Data discovery
SQL
NoSQL
Relational database design
Python
DAX
Java
Scala
Go

Experience Level

5 years of related work experience
3 years of related experience
4-7 years experience

Education Level

Bachelor's Degree
Advanced degree

Salary/Compensations

$105,100 - $189,600

Benefits

Competitive base salary and compensation package
Multiple wealth-building opportunities
Annual stock grant
Employee stock purchase plan
401(k)
Access to free, year-round money coaches
Medical insurance
Dental insurance
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-term disability
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

About the Company

At T-Mobile, we invest in YOU!
Our Total Rewards Package ensures that employees get the same big love we give our customers.
The Un-carrier doesn’t have a corporate ladder–it’s more like a jungle gym of possibilities!
We love helping our employees grow in their careers, because it’s that shared drive to aim high that drives our business and our culture forward.
By applying for this career opportunity, you’re living our values while investing in your career growth–and we applaud it.
You’re unstoppable!

Equal Opportunity

T-Mobile USA, Inc. is an Equal Opportunity Employer.
All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law.
Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.
Talent comes in all forms at the Un-carrier.
If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500.