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Data Engineer

Pay
Multiple pay statements — pay source
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
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.
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Work setting
Working pattern needs review — work setting source
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.
Read the full posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Work authorization
Must already have the right to work in the USLegally authorized to work in the United States

What you’ll work on

Full posting
  • Build and maintain scalable data pipelines using Snowflake and Azure

  • Support data lakes and data warehouses on Azure

  • Monitor, troubleshoot and optimize pipeline performance

  • Write Python and SQL code for data transformation and automation

  • Assist with data modeling, schema design and documentation

From the employer’s posting
Build and maintain scalable data pipelines using Snowflake and Azure services
Support development of data architectures including data lakes and data warehouses on Azure
Monitor, troubleshoot, and optimize data pipelines using system engineering best practices.
Write clean, efficient code in Python and SQL for data transformation and automation
Assist in data modeling, schema design, and documentation of data systems.

What you’ll bring

All qualifications

Core experience

  • Bachelor's degree plus 2 years related experience, or equivalent combination
  • Degree in Computer Science, Statistics, Informatics, Information Systems or quantitative field, or equivalent experience
  • Legally authorized to work in the United States
Qualification wording
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
Legally authorized to work in the United States
Education & alternatives
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:
Apply at T-Mobile US

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 4, 2026today
Recorded sightings
1

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 5 and day 54.

From 10,736 similar postings that came down. Coming down is not always a hire.

T-Mobile US is hiring

8 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down quickly
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Azure
  • Hadoop
  • Snowflake
  • Spark
Where the posting names them
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:
- 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.
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
- 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.
Preferred Work Experience: - 1+ year Exposure to Azure (ADLS and Snowflake - 1+ years Experience with big data tools (Spark, Hadoop, etc.
- 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
** 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.
- Data Modeling - Snowflake (Platform) #LI-Corporate

Your next step

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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)

#LI-Corporate

  • 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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Pay
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
More source context
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.
Location & working pattern

Bellevue, Washington

This passage needs a closer read in the full description.

Work authorization
- At least 18 years of age - Legally authorized to work in the United States Travel: Travel Required (Yes/No): No

More relevant text appears in the full description.

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