Campus Pride Jobs

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 High-Speed Internet is redefining what it means to be an ISP, standing up for both Consumers and Businesses. We believe that this starts with bringing a world class experience to all customers. T-Mobile is competing in urban areas because we think you deserve a better choice and reaching out to areas that have previously been ignored. The HSI team is a fast-moving team of architects and data engineers; that build, run, and operate the back end and reporting data operations to support customer acquisition and analysis. As a senior data engineer on this team, you guide the team to analyze, define and engineer solutions that serve the larger business. In this role, your main responsibilities will be managing and implementing data solutions to meet business needs and ensure our pipelines become more performant, scalable and reliable. This is a fast-growing team, with endless opportunities for learning and growth - you'll have our support along the way. T-Mobile High-Speed Internet is redefining what it means to be an ISP, standing up for both Consumers and Businesses. We believe that this starts with bringing a world class experience to all customers. T-Mobile is competing in urban areas because we think you deserve a better choice and reaching out to areas that have previously been ignored. The HSI team is a fast-moving team of architects and data engineers; that build, run, and operate the back end and reporting data operations to support customer acquisition and analysis. As a senior data engineer on this team, you guide the team to analyze, define and engineer solutions that serve the larger business. In this role, your main responsibilities will be managing and implementing data solutions to meet business needs and ensure our pipelines become more performant, scalable and reliable. This is a fast-growing team, with endless opportunities for learning and growth - you'll have our support along the way. Responsibilities Guide and work with your team to develop architectures and solutions for complex business problems Act as a subject matter expert for feature implementations, including pipeline development, management, and delivery across multiple work streams Develop and implement scalable ETL processes and architecture for critical business systems Automate and drive scalable solutions, implement data pipelines to support dynamic business needs Build solutions that add value for partner teams, leaders and the larger business as a whole Design and optimize validation frameworks and data monitoring to ensure data quality and reliable data systems Qualifications Master's or bachelor's in computer science, Engineering or similar degree At least 5 years of professional experience with data engineering, ETL, modeling and architecture At least 5 years of professional experience using an applicable programming language and common data technologies (such as SQL, NoSQL, Spark, Python, Tableau and Power BI) At least 5 years of experience working with big data processes including ETL/data pipelines, processing, storage, and governance At least 2 years' experience with AWS big data technologies- Redshift, S3, Lambda, Step Functions, EMR Excellent problem-solving skills and data engineering habits, including peer-coding, documentation, quality testing, etc Ability to identify gaps, identify resolution and implement solutions to solve key business problems * At least 18 years of age * Legally authorized to work i