Data Quality Engineer III

Coca-Cola Consolidated; Charlotte (NC); On-site; USD 95,000 - 130,000; Full time

Benefits offered by this job

401(k) match

Health coverage

Employee stock purchase plan

Job summary

Coca-Cola Consolidated is seeking a Data Quality Engineer III to design and implement advanced data quality frameworks and scalable monitoring across enterprise datasets. You will apply AI-driven techniques to improve detection, automation, and continuous monitoring.

You will design and maintain quality pipelines, develop orchestration workflows, perform profiling and root-cause analyses, and collaborate with governance and business teams to enforce data standards.

Qualifications

• Bachelor's degree required with 5–7 years of experience.
• Strong SQL and Python programming skills essential.
• Experience designing data quality rules and validation frameworks.
• Familiarity with ETL/ELT, data pipelines, and orchestration tools.
• Knowledge of data profiling, anomaly detection and monitoring.
• Experience with governance tools like Alation, Palantir, Informatica.

Responsibilities

• Design, build, and maintain scalable data quality pipelines and validation rules.
• Develop and optimize data pipelines and orchestration workflows.
• Perform profiling, root cause analysis, and remediation of data quality issues.
• Implement automated monitoring, alerting, and anomaly detection.
• Collaborate with governance, data engineering, and business teams on standards.

Skills

SQL

Python

Data quality rules

ETL/ELT

Orchestration tools

Data profiling

Anomaly detection

Governance tools

Structured data

Root cause analysis

Education

Bachelor's degree

CS or Business Admin preferred

Tools

Alation

Palantir

Informatica

Job description

Locations: Charlotte

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.