IT Data Engineer II

GCI is hiring an IT Data Engineer II to design, build, and operate enterprise data engineering capabilities for analytics and advanced data workloads.

Responsibilities

• Gather and translate business and functional requirements into clear technical specifications and deliverables.
• Design, build, and maintain scalable data pipeline architecture for analytics and advanced workloads.
• Create and maintain efficient ETL/ELT pipelines using relevant tools and custom code.
• Assemble large, complex data sets that satisfy functional and non-functional business requirements.
• Build infrastructure for optimal extraction, transformation, and loading from a wide variety of data sources.
• Develop analytics tools that use the data pipeline to deliver insights into customer acquisition, operational efficiency, and other key performance metrics.
• Troubleshoot complex technical data issues across pipelines and data platforms.
• Tune SQL queries and optimize pipelines and infrastructure for performance and cost efficiency.
• Collaborate cross-functionally with stakeholders to resolve data-related technical issues and support infrastructure needs.
• Conduct thorough QA reviews to validate functionality, code integrity, performance, and compliance with design and coding standards.
• Identify and implement internal process improvements, including automation of manual work, optimized data delivery, and infrastructure redesigns for scalability.
• Perform root cause analysis, document findings, and deliver data-driven solutions to underlying issues.
• Educate corporate users on data usage, literacy, and governance best practices.
• Support a professional, proactive, results-driven culture through collaboration, open communication, and shared accountability.
• Continue developing job proficiency through continuous learning and role-specific training.
• Take ownership of actions, decisions, and results; accept feedback and demonstrate willingness to improve.
• Build mutual trust and follow GCI’s Code of Conduct for Employees – the Basic Principles.
• Maintain positive working relationships and communicate thoughts professionally and appropriately.
• Follow internal controls, protect confidential company and customer information, and comply with GCI’s Code of Business Conduct & Ethics.
• Prioritize service excellence and customer satisfaction.
• Complete assigned tasks as expected, with timely attendance for meetings, training, and other obligations.
• Apply knowledge, initiative, decision-making, innovation, adaptability, and problem-solving to assigned work.
• Support a safe work environment by following workplace safety rules and guidelines; comply with applicable Security policies and procedures.
• Use proficient computer skills and MS Office tools (Outlook, Teams, Word, Excel) to perform job duties.

Requirements

• High School diploma or equivalent.
• Bachelor’s degree in Computer Science, Software Engineering, Data Science, or related field.
• Minimum 4 years of experience in corporate data analytics, real-time analytics and visualization tools, data collection and/or data pipelines, or related background.
• Intermediate level role: performs moderately complex tasks with general instruction on routine work and new assignments.
• Works under moderate supervision with latitude for independent judgment; supports higher level staff on more complex projects.
• Provides training and guidance to lower-level staff.
• Comprehensive understanding of data engineering concepts and software development principles.
• Strong SQL skills for data manipulation, analysis, and query optimization.
• Broad working knowledge of big data processing on cloud platforms.
• Minimum qualifications may be met by a combination of relevant work experience and/or education sufficient to perform duties, substituting year-for-year toward total years required.

Technologies

• SQL
• MS Office, Outlook, Teams, Word, Excel
• ETL, ELT
• Azure
• Databricks, Delta Lake
• Spark Declarative Pipelines, Spark Structured Streaming
• Lakeflow Connect
• Lakehouse architecture, Lakehouse
• Medallion Architecture
• CI/CD
• Agile methodology
• Data modeling
• Metadata management
• Data governance principles

Preferred

• Experience with relational and non-relational databases and batch data sources for analytics and pipeline development.
• Experience with Azure-based data solutions.
• Hands-on experience with Databricks technologies including 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.

Working Conditions

• Location: United States (onsite).
• This position may require reliable transportation for occasional travel between retail store locations, offices, worksites, or other locations as needed.
• Work is primarily sedentary with daily computer use.
• Ability to work shifts as assigned; standard office/home office setting; operate standard office equipment.
• Ability to accurately communicate information and ideas; physical agility and effort to perform duties safely.
• Ability to make valid judgments and decisions.
• Availability for additional time on weekends, holidays, or outside normal hours when necessary.
• Team-oriented work with a diverse group of people and customers.
• Virtual workers must comply with remote work policies and agreements.
• Requires ability to work well in a team environment and follow workplace safety rules and applicable Security policies and procedures.