Senior Data Quality Engineer III — AI-Driven Data Integrity

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

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