Senior Data Engineer
T-Mobile
full-time
Posted on:
Location Type: Office
Location: Overland Park • Kansas • Texas • United States
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Salary
💰 $105,100 - $189,600 per year
Job Level
About the role
- Develop data engineering solutions that enable data pipelines, data transformation, data privacy and analytical tools within the T-Mobile Customer Data Platform (CDP)
- Collaborate on analysis, architecture, design, and development of data products within the T-Mobile Customer Data Platform (CDP)
- Design and develop data architectures across on-premise, cloud, and hybrid platforms to ensure scalable data infrastructure
- Perform data wrangling, exploration, and discovery of heterogeneous data to generate new business insights
- Support white-boarding sessions, workshops, design sessions, and project meetings as needed
- Contribute to team knowledge sharing and drive the advancement of new data engineering capabilities
- Mentor team members to build and enhance their data engineering skillsets and professional growth
- Assist management in project definition, including estimating, planning, and scoping work to meet objectives
Requirements
- Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience
- Acceptable areas of study include Computer Engineering, Computer Science, a related subject area
- 4-7+ years Developing cloud solutions using data series; experience with cloud platforms (Azure Data Factory, Azure Databricks, and Snowflake)
- 4-7+ years Hands-on development using and migrating data to cloud platforms
- 4-7+ years Experience in SQL, NoSQL, and/or relational database design and development
- 4-7+ years Advanced knowledge and experience in building complex data pipelines with experience in languages such as Python, SQL, Scala, and Spark
- Knowledge Of Message Queuing, Stream Processing, And Highly Scalable ‘Big Data’ Data Stores
- Ability to manage work across multiple projects, good organizational skills
- Extensive experience in building and maintaining ETL/ELT pipelines, data integration, and data transformation processes to ensure data quality and consistency across various data sources.
- Experience in applying data encryption, i.e. PGP, GPG
- Experience in applying data privacy and governance regulation to customer data engineering use cases, i.e. CCPA and COPPA
Benefits
- medical, dental and vision insurance
- flexible spending account
- 401(k)
- employee stock grants
- employee stock purchase plan
- paid time off
- up to 12 paid holidays
- 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
- voluntary long-term care insurance
- mobile service & home internet discounts
- pet insurance
- access to commuter and transit programs
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringdata pipelinesdata transformationSQLNoSQLPythonScalaSparkETLdata integration
Soft Skills
organizational skillsmentoringcollaborationknowledge sharingproject management