MU-Data Engineers II

T-Mobile • Costa Mesa, CA

1d • $128,677 - $130,000 • Remote

About The Position

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! T-Mobile is America’s supercharged Un-carrier, delivering an advanced 4G LTE and transformative nationwide 5G network that will offer reliable connectivity for all. MU-Data Engineers II located in Costa Mesa, CA will provide direct data engineering development to data pipelines for ETL establishment and enhancements from operational systems or the data warehouse to and endpoints in the data warehouse, Denodo or customer management platform (Braze). Position duties and responsibilities include, but are not limited to: Work collaboratively with cross-functional teams to determine data transformation needs, establish data collection requirements, and deploy & maintain accurate data to ensure metrics & dimensions are addressed for analytics/reporting requirements. Participate in daily/weekly SCRUM ceremonies. Transform required data conditions into performance code logic. Develop high-performance code in SQL and Python. Develop, automate, and enhance ELT processes for continuous data flow. Onboard domain data as custom attributes and events to external systems such as Braze, Customer Journey. Maintain data daily updates and core logic integrity. Provide support to troubleshoot data anomalies and apply resolutions. Create, modify, and deploy code to production via AWS resources including Lambda, S3, Glue, Redshift, etc. Partner with stakeholders to support the implementation and development of data requirements. Troubleshoot data anomalies and provide applicable solutions. Build, test, and maintain database pipeline architectures. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Integrate customer data between digital stack and customer engagement platform. Provide guidance and data development nurturing to Level 1 Data Engineering. Create technical documentation for process runbooks. Apply data development to data architectures and enterprise level projects. May work remotely from anywhere in the US.

Requirements

• Advanced level in SQL and Python for data engineering and backend development.
• Understanding of popular code development approaches: Test-driven development & Continuous Integration/Continuous Deployment (CI/CD).
• Experienced working with AWS services (Lambda, S3, Glue, Redshift etc.) and Cloud Data Warehouse.
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
• Define digital data collection methods and implementations to DWH and customer management platforms.
• Provide guidance to website tagging, digital data integration and collections.
• Experienced with QA testing process to verify data is collected & rendered as expected.
• Prior working knowledge of Braze or other Customer Management Platforms.
• Snowflake Cloud Data Warehouse.
• Terraform/Bitbucket/Airflow/Jenkins.
• Tableau, Tealium, Google Tag Management & GA360.
• This position requires a Bachelor’s degree (or foreign equivalent) in computer science, any engineering, data science or closely related field and 2 years of relevant experience.

Responsibilities

• Work collaboratively with cross-functional teams to determine data transformation needs, establish data collection requirements, and deploy & maintain accurate data to ensure metrics & dimensions are addressed for analytics/reporting requirements.
• Participate in daily/weekly SCRUM ceremonies.
• Transform required data conditions into performance code logic.
• Develop high-performance code in SQL and Python.
• Develop, automate, and enhance ELT processes for continuous data flow.
• Onboard domain data as custom attributes and events to external systems such as Braze, Customer Journey.
• Maintain data daily updates and core logic integrity.
• Provide support to troubleshoot data anomalies and apply resolutions.
• Create, modify, and deploy code to production via AWS resources including Lambda, S3, Glue, Redshift, etc.
• Partner with stakeholders to support the implementation and development of data requirements.
• Troubleshoot data anomalies and provide applicable solutions.
• Build, test, and maintain database pipeline architectures.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Integrate customer data between digital stack and customer engagement platform.
• Provide guidance and data development nurturing to Level 1 Data Engineering.
• Create technical documentation for process runbooks.
• Apply data development to data architectures and enterprise level projects.

Benefits

• 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.
• 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.
• 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.
• 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.
• eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs!

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees