Job Description
<span>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!</span><font class="bold"></font>Ready to elevate your career and be a part of the Uncarrier journey at T-Mobile? Our team is searching for a Sr Data Engineer designing and developing data architectures in on-premises, cloud and hybrid platforms. We are seeking a highly skilled Data Engineer with expertise in Azure, Databricks, Snowflake and Machine Learning to join our engineering team. The ideal candidate will have a strong background in building scalable data pipelines, as well as experience in large-scale data analysis, machine learning, and mathematical modeling. We collaborate on analysis, architecture, design, and development of data warehouse and business analytics solutions. This role will mentor team members in efforts to build data their engineering skillsets.We pride ourselves on encouraging a culture of innovation, advocating for agile methodologies, and promoting transparency in all that we do. Join us in embodying the spirit of the 'Un-carrier' and make a tangible impact! If you are passionate about driving perfection and want to make a significant impact, apply today!<font class="bold"></font><b>Responsibilities:</b><ul><li>Develop data engineering solutions, including data pipelines, visualization and analytical tools</li><li>Craft and develop data architectures in on-premises, cloud and hybrid platforms</li><li>Data wrangling of heterogeneous data, exploration and discovery in pursuit of new business insights</li><li>Actively contribute to the team's knowledge and drive new capabilities forward</li><li>Mentor team members in efforts to build data their engineering skillsets</li><li>Assist team management in defining projects, including helping estimate, plan and scope work</li><li>Prepare and contribute to presentations required by management</li></ul><b>Knowledge, Skills and Abilities:</b><ul><li>5 years developing cloud solutions using data series; experience with Azure in a cloud platform environment.</li><li>Hands on experience with Databricks, Snowflake, and Machine Learning.</li><li>Sophisticated knowledge and experience in building complex data pipelines with Python, Experience in languages such as SQL, DAX Python, Java, Scala, and/or Go</li><li>Analytical approach to problem-solving; ability to use technology to solve business problems</li><li>Solid understanding of message queuing, stream processing, and highly scalable 'big data' data stores</li><li>Ability to lead work across multiple projects, good interpersonal skills</li><li>Passionate about learning new technologies</li></ul><b>Education:</b><ul><li>Bachelor's Degree Computer Engineering, Computer Science, a related subject area or equivalent experience</li></ul><font class="bold"></font>* At least 18 years of age<br>* Legally authorized to work in the United States<b>Travel</b>:<br>Travel Required (Yes/No):No<b>DOT Regulated</b>:<br>DOT Regulated Position (Yes/No):No<br>Safety Sensitive Position (Yes/No):No<font class="bold"></font>Base Pay Range: $105,100 - $189,600<font class="bold"></font>Corporate Bonus Target: 15%<font class="bold"></font>The pay range above is the general base pay range for a successful candidate in the role. The successful candidate's actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.<font class="bold"></font>At T-Mobile, employees in regular, non-temporary roles are eligible f