Our Purpose and Growth Culture:

We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what's possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors - curious, empowered, inclusive and agile - and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.

Requisition ID: 263818

Locations: Charlotte 

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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.