Data Quality Engineer III

Socket.dev; Charlotte (NC); On-site; USD 110,000 - 140,000; Full time

Benefits offered by this job

Career Growth

Competitive Benefits

Purpose-Driven

Professional Development

Job summary

Coca-Cola Bottling Co. is seeking a Data Quality Engineer III to design advanced data quality frameworks and automated validation processes that support analytics and AI use cases.

You will develop scalable data pipelines, perform profiling, and apply AI/ML techniques to improve data quality detection and monitoring across enterprise datasets.

Qualifications

• Bachelor’s degree required (4 years).
• 5 to 7 years of experience in data quality, data engineering, or related field.
• Experience designing data quality rules and validation frameworks.
• Experience with data pipelines, ETL/ELT, and orchestration tools.

Responsibilities

• Design, build, and maintain scalable data quality pipelines, rules, and validation frameworks across enterprise datasets.
• Develop and optimize data pipelines and orchestration workflows for 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.
• Collaborate with data engineering, governance, and business teams to define and enforce data quality standards.
• Create reusable data quality patterns and documentation for enterprise adoption.
• Explore and implement AI/ML-driven data quality solutions, including anomaly detection and intelligent rule generation.

Skills

SQL

Python

Data quality rules

ETL/ELT pipelines

Data profiling

Anomaly detection

Root cause analysis

Data governance tools

Data orchestration

AI/ML for data quality

Education

Bachelor’s degree (4 years)

Bachelor’s degree in Computer Science (preferred)

Tools

Alation

Palantir

Informatica

Job description

Requisition ID: 263818

Locations: Charlotte

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• 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.