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T-Mobile USA, Inc.

Data Engineer

Bellevue, WA, United States

National Base Pay Range: $84,900 - $153,200

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Job details

Pay: National Base Pay Range: $84,900 - $153,200
Posting language: English
Posted: Nov 3, 2026

Original job description

At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That’s how we’re UNSTOPPABLE for our employees!

** This is not a remote position. T-Mobile is a hybrid work environment requiring work in the office three (3) days per week. The successful candidate will be located in the greater Seattle, Washington area.**

Job Overview As a Data Engineer for the Product Innovation Team, you will play a key role in designing, building, and optimizing scalable data pipelines and cloud-based data architectures that power data-driven products and insights. Working at the intersection of product and engineering, you will collaborate with senior data engineers, technical product managers, data scientists, analysts, and business stakeholders to deliver high-performance data solutions. In this role, you will build and maintain data pipelines, while supporting modern data lake and data warehouse architectures. You will also help manage data workflows across multi cloud environments such as Snowflake and ADLS.

You will write efficient Python and SQL code for data transformation and automation, monitor and optimize pipeline performance, and support data modeling, schema design, and documentation efforts. The ideal candidate is passionate about scalable data infrastructure and committed to ensuring data quality, security, governance, and privacy compliance across cloud platforms.

Job Responsibilities:

Build and maintain scalable data pipelines using Snowflake and Azure services
Support development of data architectures including data lakes and data warehouses on Azure
Integrate and manage data workflows across multi-cloud environments for client solutions.
Monitor, troubleshoot, and optimize data pipelines using system engineering best practices.
Write clean, efficient code in Python and SQL for data transformation and automation
Collaborate with data analysts, scientists, and engineering teams to ensure high-quality, accessible data.
Assist in data modeling, schema design, and documentation of data systems.
Ensure adherence to data security, governance, and compliance standards across cloud platforms

Required Education:

Bachelors Degree plus 2 years of related work experience OR combination of education and experience deemed equivalent. Acceptable areas of study include Computer Science, Statistics, Informatics, Information Systems or another quantitative field, or equivalent experience

Required Work Experience:

2-4 years Data Engineering

Preferred Work Experience:

1+ year Exposure to Azure (ADLS and Snowflake
1+ years Experience with big data tools (Spark, Hadoop, etc.
1+ years Experience Familiarity with CI/CD pipelines and DevOps practices

Required Knowledge, Skills and Abilities:

Cloud Computing
Collaboration
Data Modeling
Snowflake (Platform)
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: $97,635 - $176,180

National Base Pay Range: $84,900 - $153,200

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=REQ379862&paradox=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! 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, genetic information, 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. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.

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More about this job

Skills

Data warehouse
Manage data
Snowflake
Python
SQL
Data modelling
Documentation
Microsoft Azure
Troubleshoot
Apply information security policies
Regulatory compliance
Computer science
Statistics
Data engineering
Apache Spark
Apache Hadoop
CI/CD
DevOps
Cloud computing
Collaboration
Sales
Customer service
Child care
Coaching

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