Data Engineer

T-Mobile • Bellevue, WA

104d • $84,900 - $153,200

About The Position

At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That's how we're UNSTOPPABLE for our employees! The Data Engineer builds the infrastructure required for optimal extraction, transformation and loading of data from a wide variety of data sources using SQL, Azure, and 'big data' technologies. The Data Engineer is responsible for identifying, designing and implementing internal process improvements such as automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. We pride ourselves on encouraging a culture of innovation, advocating for agile methodologies, and promoting transparency in all that we do. Join us in embodying the spirit of the 'Un-carrier' and make a tangible impact! If you're up to the challenge, apply today!

Requirements

• Bachelor's Degree Computer Science, Statistics, Informatics, Information Systems or another quantitative field, or equivalent experience (Required)
• 2-4 years Data Engineering (Required)
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases (Required)
• Experience in languages such as SQL, Python, Perl, Java, Bash Shell Scripting, working in Linux environment (Required)
• Experience working on Cloud Technologies like Azure Data Factory, ADLS2, Event Hub, Kafka, Databricks, Snowflake (Required)
• Experience in streaming technologies like Kafka, Spark. Well versed with GIT, CICD Pipelines, Linux (Required)
• Microsoft Certified: Azure Developer Associate / similar (Required)
• Experience building and optimizing 'big data' data pipelines, architectures and data sets (Required)
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement (Required)

Nice To Haves

• Network/Telecom Domain knowledge (Preferred)
• Ability to manage work across multiple projects, good organizational skills (Preferred)
• Self-Motivated, creative and a good team player. Enthusiastic, passionate, communicative and ability to document work done effectively (Preferred)

Responsibilities

• Interact with internal business end users, gather requirements, and generate design documents
• Create and maintain optimal ETL/ELT frameworks and data pipelines
• Work with stakeholder teams and team management to assist with data-related technical issues and support their data infrastructure needs
• Assemble large, complex data sets that meet functional/ non-functional business requirements
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
• 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
• Also responsible for other Duties/Projects as assigned by business management as needed.

Benefits

• Medical, dental and vision insurance
• Flexible spending account
• 401(k)
• Employee stock grants
• Employee stock purchase plan
• Paid time off and 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- 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
• Access to commuter and transit programs

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Industry: Telecommunications
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees