Data Quality Engineer III

Coca-Cola Bottling Co. Consolidated; Charlotte (NC); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Career growth

Competitive benefits

Purpose-driven

Professional development

Job summary

Coca-Cola Bottling Co. Consolidated is seeking a Data Quality Engineer III to design and implement advanced data quality frameworks and automated validation across enterprise datasets.

The role blends data engineering with data quality, ensuring reliable data for analytics and AI use cases. You will develop scalable pipelines, perform profiling and anomaly detection, and apply AI-driven techniques to improve monitoring and rule generation.

Qualifications

• Bachelor's degree (4 years) required.
• 5 to 7 years of experience in data quality roles.
• Bachelor's in Computer Science or Business Administration preferred.

Responsibilities

• Design, build, and maintain scalable data quality pipelines and rules.
• Develop data pipelines and orchestration to support ingestion and quality enforcement.
• Perform advanced data profiling and root cause remediation.
• Implement automated monitoring and anomaly detection for data quality.
• Collaborate with data governance and business teams on standards.
• Create reusable data quality patterns and best practices.
• Explore AI/ML-driven data quality solutions, including intelligent rule generation.
• Perform other duties as assigned.

Skills

SQL and data manipulation

Python programming

Data quality rules design

ETL/ELT pipelines

Data profiling and anomaly detection

Data governance tools

Reusable data quality patterns

Structured and semi-structured data

Troubleshooting / root cause analysis

Education

Bachelor's degree

CS or Business Administration degree preferred

Tools

Alation

Palantir

Informatica

Job description

Requisition ID: 263818

Locations: Charlotte

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

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.