Sr Engineers, Data

T-Mobile•Frisco, TX

5d•Hybrid

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. Sr Engineers, Data is located in Frisco, TX and will lead the development efforts for cloud-based applications and infrastructure. Telecommuting is permitted, but applicant must work from the worksite location at least 3-4 days per week. No additional national or international travel is anticipated.

Requirements

Bachelor’s degree or foreign equivalent in Computer and Information Technology, Electrical Engineering, Computer Engineering, Computer Science, or related field and 5 years of relevant work experience in any occupation in which the required experience is gained.
Master’s degree or foreign equivalent in Computer and Information Technology, Electrical Engineering, Computer Engineering, Computer Science, or related field and 3 years of relevant work experience in any occupation in which the required experience is gained.
Building real-time and large-scale data solutions using Python, and Snowflake features like Snowpipe, and Cloning to enable robust data transformation pipelines, resulting in a 25% improvement in pipeline efficiency;
Migrating and optimizing data infrastructure by transforming large datasets from traditional RDBMS (Teradata, SQL Server, Oracle) to Snowflake and Databricks on Azure;
Building efficient ETL and data transformation workflows to automate reporting pipelines, boosting pipeline throughput and reducing manual intervention using Snowflake, Azure, Python and Control-M tools;
Leveraging cloud platforms including AWS, Azure, and Snowflake to architect high performance, cloud-native data systems with capabilities like Time Travel, Fail-safe, and zero-copy cloning, ensuring compliance, data recovery, and system reliability;
Collaborating with global teams across offshore and onshore environments for data cleaning, analysis, and visualization, while also conducting in-depth root cause analysis to identify business opportunities and enhance data-driven decision-making by creating audit checks using Snowflake and Python to ensure the issues are caught at the initial phase;
Applying DevOps and scheduling tools: Control-M, GitHub, UC4, and Crontab for CI/CD pipeline automation, workload orchestration, and performance monitoring in multi-cloud data engineering environments.
At least 18 years of age
Legally authorized to work in the United States

Responsibilities

Independently develop a full software stack.
Contributed to designs to implement new insights to improve upon existing systems.
Build data persistence solutions for software products, with the chance to work with, learn multiple data stores, and cloud platforms such as AWS, AZURE and Snowflake.
Public (AWS, Azure, GCP) analysis of actuals to budget /forecast, analyze key areas of waste and optimization, utilization rates, etc.
Extract and analyze large scale data within cloud billing and usage, to support management and financial partners indecision making.
Identification, implementation, and maintenance of Key Performance Indicators (KPls).
Translate business and functional requirements into detailed technical specifications.
Develop support documentation for acceptance of systems changes into production.
Participate in code reviews and walkthroughs of technical specifications with other members of the technical team.