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.
Bellevue, Washington
Actively hiring, first seen by us todayDOT 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.Read the full 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.Read the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Legally authorized to work in the United States
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
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.
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
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:
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
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$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.
Day 0
Early. Similar jobs usually come down between day 5 and day 54.
From 10,704 similar postings that came down. Coming down is not always a hire.
8 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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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
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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.
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.
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 Responsibilities:
Required Education:
Required Work Experience:
Preferred Work Experience:
Required Knowledge, Skills and Abilities:
#LI-Corporate
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¶dox=1At 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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
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.
Bellevue, Washington
This passage needs a closer read in the full description.
- 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.