[Hiring] IT Data Engineer II @GCI Communication Corp

Role Description

GCI's IT Data Engineer II will build and maintain the supporting framework for enterprise activities such as acquiring, transforming, and delivering data into a format that can be easily analyzed. Develop, maintain, and test infrastructures for analytics across the company. Leverage existing data infrastructure to fulfill all data-related requests.

Essential Duties and Responsibilities at All Levels:

• Engineering & Analytics
  • Gather and translate business and functional requirements into clear, actionable technical specifications and deliverables.
  • Design, build, and maintain scalable data pipeline architecture for analytics and advanced data workloads.
  • Design, build, and maintain efficient ETL/ELT pipelines using a variety of relevant tools and custom code.
  • Assemble large, complex data sets that meet functional and non-functional business requirements.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
  • Resolve complex technical data issues across pipelines and data platforms.
  • Tune SQL queries and optimize data pipelines and infrastructure for performance and cost efficiency.
  • Work cross-functionally with relevant stakeholders to assist with data-related technical issues and support data infrastructure needs.
• Collaboration & Continuous Improvement
  • Perform thorough quality assurance reviews of modules to validate functionality, code integrity, performance, and compliance with design and coding standards.
  • Identify, design, and implement internal process improvements, such as automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.
  • Conduct root cause analysis to identify underlying issues and drive effective data-driven solutions, clearly documenting processes.
  • Educate corporate users on data usage, literacy, and governance best practices to support informed decision-making and consistency.
  • Promote a professional, proactive, and results-driven culture by fostering strong cross-functional collaboration, encouraging open communication, and driving shared accountability for outcomes.
  • Strengthen job proficiency and expertise through continuous learning and role-specific training.

Qualifications

• A combination of relevant work experience and/or education sufficient to perform the duties of the job may substitute to meet the total years required on a year-for-year basis.
• High School diploma or equivalent.
• Bachelor’s degree in Computer Science, Software Engineering, Data Science, or related field.
• Minimum of four (4) years of experience in corporate data analytics, real-time analytics and visualization tools, data collection and/or data pipelines, or related background.

Requirements

• Experience working with relational and non-relational databases and batch data sources, to support analytics and data pipeline development.
• Experience with Azure-based data solutions.
• Hands-on experience with Databricks technologies such as Delta Lake, Spark Declarative Pipelines, Spark Structured Streaming and Lakeflow Connect.
• Experience with modern data architectures, including Medallion Architecture.
• Relevant telecom industry or job-specific certifications.

Benefits

• This position may require access to reliable transportation for occasional travel, such as between retail store locations, offices, worksites, or other locations as needed.
• Work is primarily sedentary, requiring daily routine computer usage.
• Ability to work shifts as assigned, work in standard office/home office setting, and operate standard office equipment.
• Ability to accurately communicate information and ideas to others effectively.
• Physical agility and effort sufficient to perform job duties safely and effectively.
• Available to work additional time on weekends, holidays, before or after normal work hours when necessary.
• Must work well in a team environment and be able to work with a diverse group of people and customers.