Engineer, Data | T-Mobile | Bellevue, WA

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  • United States, Bellevue, WA View on Map
  • Post Date : November 19, 2020
  • Apply Before : December 19, 2020
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Job Description

The Data Engineer will create and maintain optimal data pipeline architecture, including assembling large, complex data sets that meet functional / non-functional business requirements. The professional will also identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

Responsibilities

  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ 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 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 scientist 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.


Qualifications

  • Bachelor’s degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
  • 5 years of experience in a Data Engineer role
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • 3 years of experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
  • 3 years of experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with unstructured datasets.
  • Experience in languages such as Python, Java, Scala, and/or Go
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • A successful history of manipulating, processing and extracting value from large disconnected datasets.
  • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
  • Good ability to manage work across multiple projects and good organizational skills.


Minimum Qualifications

  • At least 18 years of age.
  • Legally authorized to work in the United States.
  • High School Diploma or GED.
  • Pre-employment background screen.


Company Profile

As America’s Un-carrier, T-Mobile USA, Inc. (NASDAQ: “TMUS”) is redefining the way consumers and businesses buy wireless services through leading product and service innovation. The company’s advanced nationwide 4G and 4G LTE network delivers outstanding wireless experiences for customers who are unwilling to compromise on quality and value. Based in Bellevue, Washington, T-Mobile USA. Inc. provides services through its subsidiaries and operates its flagship brands, T-Mobile and Metro by T-Mobile. For more information, please visit http://www.t-mobile.com

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EOE Statement
Equal Employment Opportunity

We take equal opportunity seriously-by choice.

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, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.

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