Data Quality Engineer III

Heartland Coca-Cola Bottling Company, LLC; Charlotte (NC); On-site; USD 110,000 - 140,000; Full time

Job summary

Heartland Coca-Cola Bottling Company, LLC in Charlotte, NC seeks a Data Quality Engineer III to design and implement advanced data quality frameworks, automated validation, and scalable monitoring across enterprise datasets. This role applies AI-driven techniques to improve data quality detection and automation for analytics use cases.

The position combines data engineering with governance, requiring strong SQL, Python, ETL/ELT, data profiling, and anomaly detection to ensure data reliability

Qualifications

• Advanced SQL and data manipulation skills.
• Strong Python programming experience.
• Experience designing data quality rules and validation frameworks.

Responsibilities

• Design, build, and maintain scalable data quality pipelines and rules.
• Develop and optimize data pipelines and orchestration workflows.
• Perform data profiling and root-cause analysis of quality issues.
• Implement automated monitoring and anomaly detection for data quality.
• Collaborate with governance and engineering teams to enforce standards.
• Create reusable data quality patterns and best practices.
• Explore AI/ML-driven data quality solutions including anomaly detection.
• Other duties as assigned.

Skills

SQL & data manipulation

Python programming

Data quality rules

ETL/ELT workflows

Data profiling

Anomaly detection

Governance tools

Structured data

Troubleshooting

Education

Bachelor’s degree in Computer Science

Bachelor’s degree in Business Administration

Tools

Alation

Palantir

Informatica

Job description

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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.