Sr. Data Engineer

Posted 14 Days Ago
Be an Early Applicant
3 Locations
105K-190K Annually
Senior level
Other • Utilities
The Role
The Sr Data Engineer will design and develop data architectures, build and maintain scalable data pipelines, deploy applications using Kubernetes, and implement data streaming solutions. The role involves mentoring team members and collaborating across teams for efficient data solutions and compliance with security protocols.
Summary Generated by Built In

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!

Job Overview
The Sr Data Engineer designs and develops data architectures in on-premise, cloud and hybrid platforms. The Sr Data Engineer collaborates with Data Engineers on analysis, architecture, design, and development of data warehouse and business analytics solutions. This role mentors other team members in their efforts to build data engineering skillsets.

Job Responsibilities:

  • Design, develop, and maintain scalable data pipelines and systems using Java and Python to support real-time and batch processing.

  • Architect and implement solutions utilizing Apache Kafka for efficient data streaming and message processing.

  • Deploy and manage containerized applications on Kubernetes for highly available and scalable data infrastructure.

  • Ensure compliance with cybersecurity initiatives by staying up to date with the latest security protocols and implementing them across data engineering projects.

  • Leverage advanced AWS SageMaker and GroundTruth capabilities to build and deploy machine learning models and manage large datasets.

  • Utilize Google Gemini ML models for advanced machine learning applications and data processing.

  • Optimize data warehousing solutions in Redshift and BigQuery, ensuring high performance and cost-effectiveness for large-scale data operations.

  • Collaborate with cross-functional teams to integrate data solutions with cloud services, ensuring end-to-end data integrity and security.

Education:

  • Bachelor's Degree Computer Engineering, Computer Science, a related subject area or equivalent experience (Required)

Work Experience:

  • 5 years developing cloud solutions using data series; experience with cloud platforms (Amazon Web Services, Azure, or Google Cloud) (Required)

  • Hands-on development using and migrating data to cloud platforms (Required)

  • Experience in SQL, NoSQL, and/or relational database design and development (Required)

  • Advanced knowledge and experience in building complex data pipelines with Python, Experience in languages such as SQL, DAX Python, Java, Scala, and/or Go (Required)

Knowledge, Skills and Abilities:

  • Analytical approach to problem-solving; ability to use technology to tackle business problems (Preferred)

  • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores (Preferred)

  • Ability to manage work across multiple projects, good organizational skills (Preferred)

  • Passionate about learning new technologies (Preferred)

Licenses and Certifications:

  • Cloud platform certification(s) i.e. AWS Certified Solutions Architect, AWS Certified Cloud Practitioner or Microsoft Certified Solutions Associate (MCSA) (Preferred)

• 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

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=REQ300551¶dox=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 [email protected] 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.

Top Skills

Dax
Go
Java
Python
Scala
SQL
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The Company
HQ: Bellevue, WA
89,016 Employees
On-site Workplace

What We Do

T-Mobile U.S. Inc. (NASDAQ: TMUS) is America’s supercharged Un-carrier, delivering an advanced 4G LTE and transformative nationwide 5G network that will offer reliable connectivity for all. T-Mobile’s customers benefit from its unmatched combination of value and quality, unwavering obsession with offering them the best possible service experience and undisputable drive for disruption that creates competition and innovation in wireless and beyond. Based in Bellevue, Wash., T-Mobile provides services through its subsidiaries and operates its flagship brands, T-Mobile, Metro by T-Mobile and Sprint.

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