Data Engineer, Broadband

Full-time - Entry Level

Hybrid - Bellevue, WA

Telecommunications

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! Internet service providers, meet the Un-carrier. We're standing up for Consumers & businesses to redefine an industry. Ever feel like high-speed internet in hard-to-reach areas is an impossible ask? We are working to change that by building a network to serve small town and rural areas, that traditional providers have ignored. We're competing in urban areas because we think you deserve a better choice. Our team builds the enabling technology behind this revolution. We are a fast-moving team of architects and data engineers; that build, run, and operate the back-end data operations to support customer acquisition and analysis. If you enjoy being part of a team who is working on data pipelines, digging into data anomalies, and writing infrastructure as code to deploy changes to the cloud we want to talk to you. We are looking for team members who can critically analyze a problem, collaborate with product management to find a solution, and own the delivery of that solution to the end customer. The Data Engineer builds the infrastructure required for optimal extraction, transformation and loading of data from a wide variety of data sources using SQL, Databricks, and AWS 'big data' technologies. The Data Engineer is responsible for identifying, designing and implementing internal process improvements such as automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

Responsibilities

• Create and maintain optimal data pipeline architecture, visualization, analytical tools
• Assemble large, complex data sets that meet functional/ non-functional business requirements
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
• Work with stakeholder teams and team management to assist with data-related technical issues and support their data infrastructure needs
• Create data tools for analytics and data science team members that assist them in building and optimizing our product's performance and effectiveness
• Work with data and analytics experts to strive for greater functionality in our data systems

Requirements

• Bachelor's degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field, or equivalent experience. Advanced degree preferred
• 2 years of Data Engineering experience
• Experience building and optimizing 'big data' data pipelines, architectures and data sets
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement
• Experience in languages such as SQL, Python, Java, and/or Scala
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
• Previous experience with Databricks is a plus
• Ability to manage work across multiple projects, good organizational skills preferred
• Analytical approach to problem-solving; ability to use technology to tackle business problems preferred
• Passionate about learning new technologies
• At least 18 years of age
• Legally authorized to work in the United States

Nice-to-haves

• Previous experience with Databricks is a plus

Benefits

• Medical, dental and vision insurance
• Flexible spending account
• 401(k)
• Employee stock grants
• Employee stock purchase plan
• Paid time off and 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