Senior Data Quality Engineer – AI-Driven Data Integrity

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

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.