Senior Data Production Engineer

We are adding a creative and motivated Senior Data Engineer to join our team, where you'll use modern technologies in big data, cloud, and metadata. As a tech-first product company, the work you do will have a direct impact on our customers and the business. You'll work closely with other engineers, data scientists, and product managers, gaining a holistic understanding of how our systems come together., * Design and develop data engineering solutions that enable data pipelines, visualization, and analytical tools to support business requirements.

• Innovate, implement, support, and iterate on scalable big data pipelines and ETL processes.
• Write robust, efficient, and highly maintainable code in Python, Spark and Scala.
• Contribute to team knowledge sharing and drive the advancement of new data engineering capabilities.
• Assist technical, product, and operational leaders in project definition, including estimating, planning, and scoping work to meet objectives.
• Also responsible for other duties/projects as assigned by business management as needed

• Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)
• Acceptable areas of study include Computer Engineering, Computer Science, a related subject area (Required)
• 4-7 years Hands-on implementation and architectural familiarity with streaming data, relational and non-relational databases, and distributed processing technologies. (Required)
• 4-7 years Designing and developing advanced data engineering tasks in Python, SQL, Spark, and related Python libraries (e.g., pandas, scikit-learn, scipy, numpy). (Required)
• 4-7 years Advanced knowledge in building complex data pipelines and cloud bases services (GCP) to support robust and scalable infrastructure (Airflow, Kafka). (Required)

Knowledge, Skills and Abilities:

• Strong background in software engineering, large-scale data and algorithms, cloud architecture, and design thinking. (Required)

• Experience with production-level engineering around GIS and geospatial data processing. (Preferred)

• Familiarity with DevOps practices and tools for DataOps.

• Ability to work quickly and precisely, capturing requirements and designing before implementation.

• Knowledge of Google BigQuery and tools for solving data-centric problems and working with graph datasets and databases.

• At least 18 years of age

• Legally authorized to work in the United States

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!, 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, 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.