IT Data Engineer II

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.

• ACCOUNTABILITY- Takes ownership for actions, decisions, and results; openly accepts feedback and demonstrates a willingness to improve.
• BASIC PRINCIPLES - Interacts with people in a way that builds mutual trust, confidence, and respect; adheres to GCI’s Code of Conduct for Employees – the Basic Principles.
• COLLABORATION - Works effectively with others to accomplish common goals and objectives; maintains positive relationships even under difficult circumstances.
  • Strong cross functional collaboration skills, with the ability to build trust, work effectively at all levels of the organization, and develop relationships that support key priorities.
  • Ability to facilitate meetings, guide discussions, effectively manage time, and ensure clear next steps and accountability.
• COMMUNICATION- Conveys thoughts and expresses ideas appropriately and professionally.
  • Excellent verbal, written, and digital communication skills, with the ability to accurately articulate complex technical information to both internal and external audiences.
  • Ability to create clear and concise written documentation for a variety of audiences, including developers, business analysts, and business users. 
• COMPLIANCE - Follows internal controls; protects company and customer confidential information; abides by GCI’s Code of Business Conduct & Ethics.
• CUSTOMER FOCUS - Demonstrates commitment to service excellence; gives high priority to customer satisfaction. 
• RELIABILITY - Consistently follows through on assigned tasks as expected; demonstrates timely attendance at meetings, training, and other work obligations.
• RESULTS - Uses a combination of knowledge, initiative, sound decision making, innovation, adaptability, and problem solving.
  • Demonstrated ability to design, evaluate, and test data infrastructure, make independent engineering decisions, and choose an appropriate course of action.
  • Understanding of data modeling and metadata management for analytics, including traditional and AI-based use cases within Lakehouse architecture.
  • Understanding of Data Governance principles, including data quality, security, and lifecycle management.
  • Strong problem solving and analytical abilities, capable of evaluating complex issues and identifying optimal solutions.
  • Creative and adaptive issue resolution skills, applying innovative approaches when addressing challenges.
  • Demonstrated ability to adjust strategies quickly and prioritize long-term organizational health over short-term optics.
  • Ability to analyze metrics and feedback to support strategic decision-making and identify trends, gaps, and opportunities for improvement.
• SAFETY & SECURITY - Supports a safe work environment by following all workplace safety rules and guidelines; complies with applicable Security policies and procedures.
• TECHNICAL PROFICIENCY - Proficient computer skills and MS Office knowledge (e.g., Outlook, Teams, Word, Excel) to complete job duties effectively
  • Demonstrated experience using at least one programming language to develop and maintain solutions.
  • Knowledge of SQL and data query tools to perform data extraction, transformation, validation, and analysis.
  • Knowledge of software design principles, agile methodology, and continuous integration/continuous delivery (CI/CD). 
  • Knowledge of installing and configuring solutions with the ability to design, develop, build, and implement effective IT solutions. 
  • Knowledgeable of IT systems and architectures with the ability to proactively identify errors or deficiencies and develop solutions.

Additional Job Requirements:

This is an intermediate level position within the discipline demonstrating broad knowledge and proficiency in areas of responsibility. Performs moderately complex tasks and job duties, receiving general instruction on routine work and new assignments. Works under moderate supervision with latitude for independent judgment. Supports higher level staff in implementing more complex projects. Provides training and guidance to lower-level staff.

Additional Competencies:

• 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:

Required: *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. *

Preferred:

• 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.

DRIVING REQUIREMENTS: 

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.
• Ability to make valid judgments and decisions. 
• 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. 
• Virtual workers must comply with remote work policies and agreements.