T-Mobile

Senior Data Engineer, Broadband

Bellevue, WA Denver, CO
USD 105k - 189k
Python SQL Hadoop Spark Kafka AWS Azure GCP
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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!

A Senior Data Engineer is responsible for architecting, building, and scaling data systems to support business-critical data needs across the organization. This role will provide leadership in the development and optimization of complex data pipelines and infrastructure while ensuring the availability, security, and integrity of data. A Senior Data Engineer will work closely with analytics teams, data scientists, and business stakeholders to develop advanced data solutions and drive innovation in data practices across the company.

This is a hybrid position required to be working in-office at least 3 days a week.

Responsibilities:

  • Architect and Optimize Data Solutions: Design and implement highly scalable and reliable data pipelines, focusing on performance optimization, fault-tolerance, and data quality.

  • Lead Data Infrastructure Initiatives: Oversee the development, maintenance, and scaling of databases, data lakes, and data warehouses. Leverage cloud-based technologies such as AWS, Azure, and Google Cloud to enable scalable data storage and processing.

  • Data Governance & Security: Lead efforts to establish and enforce data governance policies, ensuring compliance with data privacy regulations such as CCPA, CPNI, and other relevant industry standards.

  • Mentor and Guide Junior Engineers: Provide leadership, coaching, and guidance to junior data engineers and other technical team members to enhance their skills and ensure high-quality deliverables.

  • Collaborate Across Teams: Partner with data science, analytics, and business intelligence teams to understand data requirements and create solutions that meet their needs. Translate business objectives into data architecture and engineering strategies.

  • Advanced Automation & Tooling: Automate and improve existing processes to streamline data operations, reduce manual work, and ensure consistent delivery of data insights.

  • Documentation & Standards: Develop comprehensive documentation for complex systems, ensuring that all processes, designs, and standards are well-documented for both technical and non-technical audiences.

Qualifications:

  • Bachelor’s or Master’s Degree in Computer Science, Engineering, or a related field.

  • 5 years of hands-on experience in data engineering, data architecture, or similar roles.

  • Cloud Infrastructure: Expertise in AWS, Azure, or Google Cloud platforms and their associated data services (e.g., Redshift, BigQuery, S3, Azure Data Lake). Certification is highly preferred.

  • Advanced ETL/ELT Knowledge: Extensive experience with ETL/ELT frameworks such as Informatica, Talend, DBT, Apache Airflow, Matillion, etc.

  • Programming: Proficiency in Python, SQL, and other programming languages for data engineering.

  • Big Data Technologies: Strong experience with big data solutions like Hadoop, Spark, and Kafka and optimizing data workflows.

  • DevOps & CI/CD: Deep understanding of DevOps methodologies, CI/CD pipelines, and automation tools to ensure efficient data delivery and infrastructure management.

  • Data Modeling: Expertise in data modeling techniques for both relational (SQL) and NoSQL databases.

  • Data Governance & Compliance: In-depth knowledge of privacy regulations such as CCPA, CPNI, and best practices for data security.

  • Proven ability to work in Agile environments and collaborate with cross-functional teams.

  • Strong analytical skills and the ability to problem-solve and optimize data processes.

  • Leadership: Proven track record of mentoring junior team members, driving engineering best practices, and leading complex data projects.

  • At least 18 years of age.

  • Legally authorized to work in the United States.

Base Pay Range: $105,100 - $189,600

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, https://paylookup.t-mobile.com/paylookup?reqID=REQ289208&paradox=1

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, 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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