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Heartland Coca-Cola Bottling Company, LLC

Charlotte / Global

Data Quality Engineer III

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.

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