Sr Engineers, Software

Senior Engineers, Software located in Bellevue, WA will build and maintain systems and databases to support T-Mobile Finance organization.

• Create and maintain optimal data pipeline architecture.
• Assemble large, complex data sets that meet functional and non-functional business requirements.
• Identify, design, and implement internal process improvements, including automating manual processes, optimizing data delivery, and re‑designing infrastructure for greater scalability.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure technologies.
• 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 stakeholders including the Executive, Product, Data, and Design teams to assist with data‑related technical issues and support their data infrastructure needs.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Telecommuting is permitted, but applicant must work from the worksite location at least 3-4 days per week.
• No additional national or international travel is anticipated.

• Writing complex SQL language on variety of relational database systems including but not limited to Teradata, SQL Server, Oracle, and Snowflake.
• Building data warehouse and optimizing data pipeline, architectures, and data sets using cloud technologies and platforms.
• Developing applications and data solutions, practicing all steps in SDLC and Agile development concept.
• Writing SQL or Python program and varieties of scripting languages to manipulate, process, and extract value from data files or databases such as Teradata, Oracle and Snowflake.
• Performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Leveraging cloud technology like Azure and utilizing services such as ADB, ADLS, and ADF to build data pipelines and store data in data mart/data warehouse in order to support business operations such as reporting and analytic works.

PRIMARY REQUIREMENTS:
Master’s degree in Computer Engineering, Statistics, Information Systems or related, and 3 years of relevant work experience.

ALTERNATIVE REQUIREMENTS:
Bachelor’s degree in Computer Engineering, Statistics, Information Systems or related, and 5 years of relevant work experience.

• Location:
  
  Bellevue, WA
• This position is eligible for the employee referral program.
• At least 18 years of age
• Legally authorized to work in the United States

Travel Required (Yes/No):
No

Work hours:

40 hours/week. Washington Pay Range: $ to $/year.

Employees are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most corporate employees are eligible for a year‑end bonus based on company and/or individual performance. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. All employees are eligible for an annual stock grant. Benefits include medical, dental and vision insurance, flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and paid holidays, 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, and access to commuter and transit programs.

T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed,…