Sr Engineer, Software (Data)

$140,700 - $190,400/Yr

T-Mobile US - Bellevue, WA

Full-time - Mid Level

Bellevue, WA

Telecommunications

About the position

The Sr Software Engineer, (Data) at T-Mobile plays a crucial role in designing and developing robust data architectures on Azure. This position involves collaboration with Data Engineers to create data warehouse and business analytics solutions across various platforms. The role also includes mentoring team members to enhance their skills in data engineering, ensuring the delivery of high-performing and reliable data services that align with business objectives.

Responsibilities

• Develop data engineering solutions on Azure, including robust data pipelines, Databricks notebooks, and analytical tools to drive business insights.
• Design and develop data architectures that leverage Azure's capabilities for cloud platforms, ensuring scalability and security.
• Perform data wrangling of heterogeneous data, employing Azure tools for exploration and discovery to unearth new business insights.
• Actively contribute to the team's collective knowledge, driving the adoption of new Azure capabilities and data engineering practices.
• Mentor team members in Azure data engineering skillsets, fostering a culture of continuous learning and professional growth.
• Assist in project definition, helping to estimate, plan, and scope work within Azure's framework to align with business objectives.
• Fulfill other duties/projects as assigned by business management, demonstrating versatility and adaptability in meeting diverse needs.

Requirements

• Bachelor's Degree in Computer Engineering, Computer Science, or a related subject area or equivalent experience (Required).
• 4-7 years of technical engineering experience (Required).

Nice-to-haves

• Analytical approach to problem-solving; ability to use technology to tackle business problems (Preferred).
• Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores (Preferred).
• Ability to manage work across multiple projects, good organizational skills (Preferred).
• Security (TLS, Kerberos, Encryption) (Preferred).
• Cloud solutions using data series; experience with cloud platforms (Azure, Databricks) (Preferred).
• Monitoring tools like Grafana, Prometheus (Preferred).
• Passionate about learning new technologies (Preferred).

Benefits

• Competitive base salary and compensation package.
• Annual stock grant and employee stock purchase plan.
• 401(k) with access to free, year-round money coaches.
• Eligibility for annual bonuses based on performance.