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Data Quality Jobs in Decatur, GA (NOW HIRING)

Truist

Business Data Steward

Atlanta, GA

Define data quality rules and standards for corresponding Business Unit or Corporate Group. b. May partner with Technical Business Stewards to enroll and implement Data Quality rules for ...

Global Payments

MDM Data Steward

Alpharetta, GA · On-site +1

Master Data Quality Management * Regularly monitor master data for accuracy, completeness, consistency, and reliability, initiating corrective actions when data issues or inconsistencies arise.

Cargill

Analyst - Data Platform Governance

Atlanta, GA · On-site

DATA QUALITY: Helps ensure the accuracy, consistency and reliability of data throughout its lifecycle by handling data quality standards, monitoring data quality metrics and implementing corrective ...

Cargill

Analyst - Data Platform Governance

Atlanta, GA · On-site

DATA QUALITY: Helps ensure the accuracy, consistency and reliability of data throughout its lifecycle by handling data quality standards, monitoring data quality metrics and implementing corrective ...

4pconsultinginc

Data Engineer 3

Atlanta, GA · On-site

$110.10K - $132.20K/yr

This position ensures high-quality data analytics delivery by enforcing standards, executing thorough testing, identifying data-related issues, and supporting continuous improvement throughout the ...

Ask IT consulting

Data Governance Lead

Atlanta, GA

This role will lead and manage all ESM program-wide data governance activities and will have responsibility for improving the quality of data while managing the protection of sensitive data and ...

Kiongroup

Customer Data Steward

Atlanta, GA

$84.75K - $124.30K/yr

The role acts as a liaison between the Customer Data Object Owner and local users and provides support with customer data standards, quality initiatives, and MDG-related activities. We offer:

Dlapiper

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Data Quality, Reliability & Operations * Identify, troubleshoot, and resolve data issues including data quality, integrity, latency, and security concerns; apply monitoring and operational best ...

Kiongroup

Customer Data Steward

Atlanta, GA

$84.75K - $124.30K/yr

The role acts as a liaison between the Customer Data Object Owner and local users and provides support with customer data standards, quality initiatives, and MDG-related activities. We offer:

Tata Consultancy Service Limited

Data Engineer

Atlanta, GA · On-site

$120K - $140K/yr

The ideal candidate will ensure high data quality, system reliability, and adherence to governance standards across enterprise data platforms. Key Skills Strong experience in ETL pipeline development ...

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How much do data quality jobs pay per hour?

As of May 31, 2026, the average hourly pay for data quality in Decatur, GA is $40.46, according to ZipRecruiter salary data. Most workers in this role earn between $27.21 and $53.03 per hour, depending on experience, location, and employer.

What is a Data Quality job?

A Data Quality job involves ensuring that data is accurate, consistent, and reliable for business use. Professionals in this role develop and enforce data quality standards, identify and resolve data discrepancies, and implement processes for data validation and cleansing. They often work with databases, data governance frameworks, and analytics teams to maintain high-quality data. This role is essential for organizations relying on data-driven decisions, as poor data quality can lead to incorrect insights and inefficiencies.

What are the key skills and qualifications needed to thrive in the Data Quality position, and why are they important?

To thrive in a Data Quality role, you need expertise in data analysis, attention to detail, knowledge of data governance, and often a bachelor's degree in a related field such as computer science or information systems. Familiarity with tools like SQL, data profiling software, and data quality management platforms, as well as certifications like CDMP (Certified Data Management Professional), is highly valued. Strong problem-solving abilities, effective communication, and a collaborative mindset help professionals excel in this position. These skills are crucial for ensuring accurate, reliable data that supports business decision-making and overall organizational efficiency.

What are the typical challenges faced by someone working in a Data Quality role?

Professionals in Data Quality roles often encounter challenges such as identifying inconsistent data sources, addressing missing or inaccurate data, and maintaining data standards as systems and business requirements evolve. Working closely with IT, data analysts, and business stakeholders, Data Quality specialists must resolve data discrepancies while balancing the need for accuracy with project deadlines. These challenges require excellent analytical and troubleshooting skills, as well as the ability to communicate data issues clearly across teams. Overcoming these hurdles is key to ensuring data-driven decisions are based on trustworthy information.

What is the QA analyst salary?

The salary for a QA analyst typically ranges from $50,000 to $80,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with certifications or specialized skills can earn higher wages.
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Data Quality jobs near you
Infographic showing various Data Quality job openings in Decatur, GA as of May 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $84,148 per year, or $40.5 per hour.
Director, QA (Mortgage Data and AI)

Director, QA (Mortgage Data and AI)

Intercontinental Exchange Holdings, Inc.

Atlanta, GA

Full-time

Posted yesterday

Job description

Overview

Job Purpose

The QA testing is the department responsible for the Quality Assurance and delivery of high-quality data and products. 

We are seeking an experienced Director of QA for Mortgage Data and AI to lead our comprehensive quality assurance strategy for our mortgage data and artificial intelligence platforms. This is a strategic leadership role responsible for ensuring the highest standards of data integrity, system reliability, and AI model performance across our mortgage technology ecosystem. The ideal candidate will combine deep expertise in QA methodologies with knowledge of mortgage industry requirements, data validation, and AI/ML systems testing.

Responsibilities

  • Lead and manage a team of QA engineers, test automation specialists, and data quality analysts across multiple mortgage data and AI initiatives
  • Develop and implement comprehensive QA strategy and testing frameworks for mortgage data pipelines, ensuring 99.95%+ data accuracy and compliance
  • Establish quality standards and best practices for AI/ML model validation, including performance testing, bias detection, and edge case analysis
  • Oversee end-to-end testing of mortgage products including loan origination systems, pricing engines, risk assessment models, and data analytics platforms
  • Partner with engineering, product, and business teams to define quality requirements, acceptance criteria, and success metrics for all mortgage data and AI initiatives
  • Design and deploy automated testing solutions for data ingestion pipelines, ETL processes, and real-time mortgage data processing systems
  • Establish data governance and quality assurance processes to ensure compliance with regulatory requirements (MISMO, FNMA, FHLMC, GNMA standards)
  • Lead risk assessment and mitigation strategies for mortgage AI systems, including model drift detection, fairness auditing, and regulatory compliance validation
  • Manage QA budget, resource allocation, and vendor relationships for testing tools and infrastructure
  • Drive continuous improvement initiatives to reduce defect escape rate, improve test coverage, and accelerate time-to-market
  • Establish metrics and KPIs for QA team performance and provide regular reporting to executive leadership
  • Mentor and develop QA team members, fostering a culture of quality and continuous learning

Knowledge and Experience

  • Bachelor's degree in computer science, Software Engineering, Information Technology, or related field
  • 12+ years of QA experience, with at least 5 years in a leadership/management role
  • Proven experience managing QA teams and driving organizational quality standards
  • Deep understanding of mortgage industry, loan processes, and mortgage technology ecosystem
  • Strong background in data quality assurance, data validation, and ETL testing
  • Experience with AI/ML systems testing, model validation, and performance evaluation
  • Expertise in test automation frameworks, continuous integration/continuous deployment (CI/CD) pipelines
  • Proficiency in programming languages (Java, Python, C#, JavaScript) for test automation
  • Knowledge of API testing, database testing, and performance/load testing tools
  • Understanding of regulatory compliance requirements in financial services (FNMA, FHLMC, SEC, CFPB regulations)
  • Strong analytical and problem-solving skills with attention to detail
  • Excellent communication and stakeholder management abilities
  • Test Automation: Selenium, UFT/QTP, TestComplete, Cucumber, Robot Framework
  • Programming Languages: Java, Python, C#, JavaScript, SQL
  • Testing Tools: JIRA, TestRail, LoadRunner, JMeter, Postman, SoapUI
  • CI/CD Tools: Jenkins, GitLab CI, Azure DevOps, GitHub Actions
  • Databases: SQL Server, Oracle, PostgreSQL, MongoDB, data validation techniques
  • API Testing: RESTful APIs, SOAP, GraphQL, OAuth/security testing
  • Data Testing: ETL validation, data profiling, data quality tools
  • Cloud Platforms: AWS, Azure, Google Cloud Platform
  • AI/ML Testing: Model validation tools, performance metrics, bias detection frameworks

Preferred Knowledge and Experience

  • MBA or advanced degree in related field
  • ISTQB Certified Test Manager or equivalent QA certification
  • Experience with mortgage-specific platforms and systems (pricing engines, AUS systems, LOS)
  • Knowledge of machine learning algorithms and model evaluation techniques
  • Experience with data warehousing and big data testing (Hadoop, Spark, Cloud platforms)
  • Familiarity with Agile/Scrum methodologies and DevOps practices
  • Experience with open-source testing frameworks (Selenium, TestNG, JUnit, pytest)
  • Background in building quality assurance centers of excellence
  • Experience with test data management and synthetic data generation
  • Knowledge of financial regulations and compliance testing requirements

Core Competencies

  • Strategic Leadership & Visioning
  • Team Building and Talent Development
  • Process Improvement and Continuous Optimization
  • Risk Management and Compliance
  • Stakeholder Management and Communication
  • Technical Expertise and Problem-Solving
  • Data-Driven Decision Making
  • Agile & DevOps mindset
  • Change Management
  • Cross-functional Collaboration

#LI-MA1

----------Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.Employment Type: FULL_TIME

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