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., * 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

Do you have experience in Snowflake?, Do you have a Bachelor’s degree in statistics?, * Bachelor’s 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)

• 2-4 years Data Engineering (Required)
• 1+ year Exposure to Azure (ADLS and Snowflake (Preferred)
• 1+ years Experience with big data tools (Spark, Hadoop, etc. (Preferred)
• 1+ years Experience Familiarity with CI/CD pipelines and DevOps practices (Preferred)

Knowledge, Skills and Abilities:

• Cloud Computing (Required)
• Collaboration (Required)
• Data Modeling (Required)
• Snowflake (Platform) (Required)

LI-Corporate

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

3625 132nd Avenue SE, Bellevue, WA 98006 Hybrid work $84,900 - $153,200 a year - Full-time, Pulled from the full job description

• Childcare
• Tuition reimbursement
• Pet insurance
• Paid parental leave
• Employee stock purchase plan
• AD&D insurance
• Parental leave, 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.**, DOT Regulated: DOT Regulated Position (Yes/No): No Safety Sensitive Position (Yes/No): No

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

Corporate Bonus Target: 15%

The pay range above is the general base pay range for a successful candidate in the role. The successful 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.

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. Most Corporate employees are eligible for a year-end bonus based on company and/or individual 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. To find the pay range for this role based on hiring location, click here.

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.