Heartland Coca-Cola Bottling Company, LLC
Charlotte / Global
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Charlotte / Global
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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 datasetsExperience 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
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.
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Charlotte / Global
Charlotte / Global
Charlotte / Global
Charlotte / Global
Charlotte / Global