Work in Washington Veterans Jobs

Be unstoppable with us! T-Mobile is synonymous with innovation-and you could be part of the team that disrupted an entire industry! We reinvented customer service, brought real 5G to the nation, and now we're shaping the future of technology in wireless and beyond. Our work is as exciting as it is rewarding, so consider the career opportunity below as your invitation to grow with us, make big things happen with us, above all, #BEYOU with us. Together, we won't stop! The Data Engineer builds the infrastructure required for efficient extraction, transformation and loading of data from a wide variety of data sources using SQL, Python, Perl, Java, Scala, Kafka, Azure, and AWS technologies. The Data Engineer is responsible for identifying, crafting and implementing internal process improvements such as automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Job Responsibilities: Build and maintain optimal data pipeline architecture, visualization, analytical tools Assemble large, complex data sets that meet functional/ non-functional business requirements Build analytics tools that use the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics Work with customer teams and team management to assist with data-related technical issues and support their data infrastructure needs Create data tools for analytics and data science 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 Assemble large, complex data sets that meet functional/ non-functional business requirements Build analytics tools that use the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics Work with customer teams and management to assist with data-related technical issues and support their data infrastructure needs Create data tools for analytics and data science team members that assist them in building and optimizing our product's performance and effectiveness Work with data and analytics experts for greater functionality in our data systems Education: Bachelor's Degree Computer Science, Statistics, Informatics, Information Systems or another quantitative field, or equivalent experience required Work Experience: Required: 2 plus years Data Engineering Experience building and optimizing 'big data' pipelines, architectures and data sets Experience performing root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement Experience in languages such as SQL, DAX, Python, Java, Scala, and/or Go Preferred: Experience working on Cloud Technologies like Azure Data Factory, ADLS2, Event Hub, Kafka, Databricks, Snowflake Experience performing root cause analysis on internal and external data and processes to answer specific business questions and see opportunities for improvement Experience in streaming technologies like Kafka, Spark. Well versed with GIT, CICD Pipelines, Linux Knowledge, Skills and Abilities: Sophisticated working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases (Required) * At least 18 years of age * Legally authorized to work in the United States Travel: Travel Required (Yes/No):No DOT Regulated: DOT Regulated Position (Yes/No):No Safety Sensitive Position (Yes/No):No Washington Pay Range : $110,400.00 - $149,400.00 The pay range above is the general base pay range for a successful candidate in the state listed. The successful candidate's actual pay