IT Data Engineer II

GCI is seeking an IT Data Engineer II to help build and maintain the enterprise data foundation that supports analytics across the organization. In this role, you will develop and test data analytics infrastructure, and use existing data platforms to support data-related requests from business stakeholders.

This intermediate position focuses on turning requirements into technical delivery, creating reliable pipelines for analytics workloads, and improving both performance and cost efficiency across data systems. You will also partner with teams across the organization to resolve complex technical data issues and strengthen data governance and usability.

What you’ll do

• 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 data workloads.
• Develop efficient ETL/ELT pipelines using relevant tools and custom code.
• Assemble large, complex data sets that meet functional and non-functional business requirements.
• Build infrastructure to support extraction, transformation, and loading of data from diverse sources.
• Create analytics tools that use the data pipeline to deliver actionable insights into customer acquisition, operational efficiency, and other performance metrics.
• Troubleshoot complex technical data issues across pipelines and data platforms.
• Tune SQL queries and optimize pipelines and infrastructure for both performance and cost efficiency.
• Collaborate cross-functionally to support stakeholders with data-related technical needs.
• Perform quality assurance reviews of modules to validate functionality, code integrity, performance, and compliance with design and coding standards.
• Identify and implement internal process improvements, including automation, improved data delivery, and scalable infrastructure redesign.
• Conduct root cause analysis, drive data-driven solutions, and document processes.
• Educate corporate users on data usage, literacy, and governance best practices to support consistent decision-making.
• Demonstrate ownership, accept feedback, and participate in continuous learning and role-specific training.
• Follow GCI’s required conduct standards, protect confidential information, and comply with applicable security policies and procedures.
• Maintain service excellence, follow internal controls, and support safe work practices.
• Use strong communication and professionalism when conveying ideas and collaborating with others.
• Support job proficiency through continuous learning and guidance to lower-level staff.
• Use adequate computer skills and MS Office knowledge (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 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.
• Ability to substitute a combination of relevant work experience and/or education for the total years required on a year-for-year basis.

Technologies and skills

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

Preferred experience

• Experience working with relational and non-relational databases and batch data sources for analytics and data 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.

Location and work expectations

• Location: United States (onsite)
• Driving requirements: May require access to reliable transportation for occasional travel between locations as needed.
• Working conditions: Work is primarily sedentary with daily computer usage; ability to work shifts as assigned and operate standard office equipment.
• Availability: Ability to work additional time on weekends, holidays, and before or after normal hours when necessary; virtual workers must comply with remote work policies and agreements.