Sr. Engineer, Data

T-MobileBellevue, WA
Onsite

About The Position

This role is essential for designing and developing data solutions, including scalable databases and dashboards. It calls for someone who thinks holistically about data systems. This person critically assesses the current state, envisions what it should become, and drives the shift toward more scalable, effective data solutions. Success is measured by the effectiveness of data solutions, team skill development, and contribution to data architecture innovation. The work impacts the organization by enabling data-driven decision-making and advancing data infrastructure capabilities for business insights.

Requirements

  • Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)
  • Acceptable areas of study include Computer Engineering, Computer Science, a related subject area (Required)
  • 4-7 years Developing cloud solutions using data series; experience with cloud platforms (Amazon Web Services, Azure, or Google Cloud) (Required)
  • 4-7 years Hands-on development using and migrating data to cloud platforms (Required)
  • 4-7 years Experience in SQL, and/or relational database design and development (Required)
  • 4-7 years Advanced knowledge and experience in building complex data pipelines with Python, Experience in languages such as SQL, Scala (Required)
  • Cloud Computing (Required)
  • Collaboration (Required)
  • Data Analysis (Required)
  • Data Engineering (Required)
  • Data Lake (Required)
  • Data Management (Required)
  • Data Modeling (Required)
  • Data Warehousing (DW) (Required)
  • Databricks DBRX (Required)
  • At least 18 years of age
  • Legally authorized to work in the United States

Nice To Haves

  • Cloud platform certification(s) i.e. AWS Certified Solutions Architect, AWS Certified Cloud Practitioner or Microsoft Certified Solutions Associate (MCSA) (Preferred)

Responsibilities

  • Develop data solutions that enable data pipelines, dashboards, and analytical tools to support business requirements
  • Design and develop data architectures to ensure scalable data infrastructure
  • Perform data wrangling, exploration, and discovery to build dashboards that generate new business insights
  • Contribute to team knowledge sharing and drive the advancement of new data products
  • Mentor team members to build and enhance their data engineering skillsets and professional growth
  • Assist management in project definition, including estimating, planning, and scoping work to meet objectives
  • Also responsible for other duties/projects as assigned by business management as needed

Benefits

  • Competitive base salary and compensation package
  • Annual stock grant
  • Employee stock purchase plan
  • 401(k)
  • Access to free, year-round money coaches
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Flexible spending account
  • Paid time off
  • 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-term disability
  • 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
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