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Data Quality Engineer III

Coca-Cola Bottling Co. Consolidated
401(k)
United States, North Carolina, Charlotte
Sep 18, 2026
Requisition ID: 263818 Locations: Charlotte Click here to experience a Day in the Life of our Teammates! Uncap Your Potential at America's Largest Coca-Cola Bottler - Pour Your Passion into Purpose! We're more than beverages-we're building meaningful careers and vibrant communities. Join our team where your talent meets purpose, and every teammate directly shapes our success. Career Growth: Clear pathways to advance and develop your career Competitive Benefits: 401(k) match + health coverage + employee stock purchase plan Purpose-Driven: Create meaningful impact in the communities you serve Professional Development: Dedicated training + personalized mentorship Join us - your refreshing new chapter starts here! Job Overview The Data Quality Engineer III is responsible for designing and implementing advanced data quality frameworks, automated validation processes, and scalable data monitoring solutions across enterprise datasets. This role combines data engineering and data quality expertise to ensure data is reliable, consistent, and fit for analytics and AI use cases. The position also explores and applies AI-driven techniques to improve data quality detection, automation, and continuous monitoring. Duties & Responsibilities Design, build, and maintain scalable data quality pipelines, rules, and validation frameworks across enterprise datasets Develop and optimize data pipelines and orchestration workflows to support data ingestion, transformation, and quality enforcement Perform advanced data profiling, root cause analysis, and remediation of data quality issues across systems Implement automated monitoring, alerting, and anomaly detection for data quality across critical data assets Partner with data engineering, governance, and business teams to define and enforce data quality standards and rules Develop reusable data quality patterns, documentation, and best practices for enterprise adoption Explore and implement AI/ML-driven data quality solutions, including anomaly detection, pattern recognition, and intelligent rule generation Other duties as assigned Knowledge, Skills, & Abilities Advanced SQL and data manipulation skills (joins, CTEs, performance tuning) Strong programming experience (Python preferred) Experience designing and implementing data quality rules and validation frameworks Experience with data pipelines, ETL/ELT, and orchestration tools Knowledge of data profiling, anomaly detection, and monitoring techniques Familiarity with governance tools (e.g., Alation, Palantir, Informatica, etc.) Ability to design reusable data quality patterns across datasets Experience working across structured and semi-structured data Strong troubleshooting and root cause analysis skills Minimum Qualifications Bachelor's degree (4 years) 5 to up to 7 years Preferred Qualifications Bachelor's degree in Computer Science or Business Administration is preferred Work Environment Office Equal Opportunity Employer - All qualified applicants will be considered for employment without regard to disability, protected veteran status, or any other characteristic protected by applicable law.