Job Overview
This role supports the development of infrastructure for efficient extraction, transformation, and loading of data from diverse sources using SQL and cloud technologies. It primarily involves designing and implementing components to improve internal data processes and infrastructure scalability. The role differentiates by focusing on automation, optimization, and re-design of data delivery systems to enhance performance. Success is measured by the effectiveness of data pipelines, automation of manual tasks, and scalability improvements. The work enables better data accessibility and insights, impacting organizational decision-making and operational efficiency.

Job Responsibilities:

• Develop and maintain data pipeline architecture and analytical tools to meet business requirements and improve data processing efficiency
• Assemble and prepare data sets that fulfill both functional and non-functional business needs for analysis
• Build components of analytics tools that leverage data pipelines to generate actionable business insights
• Collaborate with stakeholders to resolve data-related technical issues and support data infrastructure requirements
• Create data tool components to support analytics and data science teams in their workflows
• Work with data and analytics experts to enhance the functionality and performance of data systems
• Also responsible for other duties/projects as assigned by business management as needed

Education and Work Experience:

• Bachelor's Degree OR combination of education and experience deemed equivalent (Required)
• Acceptable areas of study include Computer Science, Statistics, Informatics, Information Systems or related field (Preferred)
• Less than 2 years Data Engineering (Preferred)
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement (Preferred)
• Experience in languages such as SQL, DAX, Python, Java, Scala, and/or Go (Preferred)

Knowledge, Skills and Abilities:

• Cloud Computing (Required)
• Collaboration (Required)
• Data Analysis (Required)
• Data Engineering (Required)
• Data Modeling (Required)
• Data Pipelines (Required)
• Databricks DBRX (Required)
• Microsoft Azure (Required)
• Root Cause Identification (Required)

• At least 18 years of age
• Legally authorized to work in the United States

Travel:
Travel Required (Yes/No): No

DOT Regulated:
DOT Regulated Position (Yes/No): No
Safety Sensitive Position (Yes/No): No

Total Target Cash Earnings Opportunity: $71,280 - $128,590

National Base Pay Range: $64,800 - $116,900

The Total Target Cash Earnings Opportunity represents the expected total cash compensation for this role at target performance, combining base salary and annual incentive opportunity. Actual earnings may be higher or lower depending on individual performance and overall company results.

The base pay range reflects the compensation component of this opportunity. The candidate's actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range. To find the pay range for this role based on hiring location, https://paylookup.t-mobile.com/paylookup?reqID=REQ369154¶dox=1

At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Corporate employees are eligible for a year-end bonus based on individual and/or company performance and which is set at a percentage of the employee's eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. The incentive component included in the Total Target Cash Earnings Opportunity reflects target performance. Actual earnings included in the Total Target Cash Earnings Opportunity reflect target performance; actual payouts may vary.

At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - 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, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile's amazing benefits, check out www.t-mobilebenefits.com.

Never stop growing!
As part of the T-Mobile team, you know 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!