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Data Quality Jobs in Georgia (NOW HIRING)

Define Data Quality rules and standards for corresponding Business Unit or Corporate Group. b. Collaborate and coordinate with Data Quality Lead and team, Data Quality Issues Management Group, and ...

Data Quality, Governance & Model Risk * Establish data quality frameworks to detect anomalies, gaps, and integrity issues across large transactional datasets. * Define validation rules, thresholds ...

Data Quality, Governance & Model Risk * Establish data quality frameworks to detect anomalies, gaps, and integrity issues across large transactional datasets. * Define validation rules, thresholds ...

Data Quality, Governance & Model Risk * Establish data quality frameworks to detect anomalies, gaps, and integrity issues across large transactional datasets. * Define validation rules, thresholds ...

Data Quality, Governance & Model Risk * Establish data quality frameworks to detect anomalies, gaps, and integrity issues across large transactional datasets. * Define validation rules, thresholds ...

Data Quality, Governance & Model Risk * Establish data quality frameworks to detect anomalies, gaps, and integrity issues across large transactional datasets. * Define validation rules, thresholds ...

Data Quality, Governance & Model Risk * Establish data quality frameworks to detect anomalies, gaps, and integrity issues across large transactional datasets. * Define validation rules, thresholds ...

Data Quality, Governance & Model Risk * Establish data quality frameworks to detect anomalies, gaps, and integrity issues across large transactional datasets. * Define validation rules, thresholds ...

Data Engineer 3

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer 3 - Quality Assurance (AI & Data Platforms) Location: Atlanta, Ga 30309 Duration: 10 Months Client- Southern Company Gas Position Overview We are seeking an experienced Data Engineer ...

Senior Data Systems Analyst

Alpharetta, GA · On-site

$84K - $105K/yr

Test Strategy and Quality Assurance * Develop and maintain comprehensive testing strategies for enterprise data platforms and business-critical processes. * Create test cases, test scenarios ...

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

Showing results 21-40

Data Quality information

See Georgia salary details

$13

$34

$60

How much do data quality jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for data quality in Georgia is $34.99, according to ZipRecruiter salary data. Most workers in this role earn between $23.56 and $45.87 per hour, depending on experience, location, and employer.

Is data quality a good career?

Data quality is a valuable career path involving ensuring the accuracy, consistency, and reliability of data within organizations. Professionals in this field often work with data management tools, perform audits, and may pursue certifications like Certified Data Management Professional (CDMP). It offers opportunities across industries such as finance, healthcare, and technology with steady demand for skilled data quality specialists.

What are the key skills and qualifications needed to thrive in a 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 is a data quality?

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 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 are the most commonly searched types of Data Quality jobs in Georgia? The most popular types of Data Quality jobs in Georgia are:
What cities in Georgia are hiring for Data Quality jobs? Cities in Georgia with the most Data Quality job openings:
Infographic showing various Data Quality job openings in Georgia as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 10% Part Time, 5% Contract, and 1% Nights. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $72,775 per year, or $35 per hour.

Data Quality Validation Test Engineer[HYBRID]

SmartIPlace

Atlanta, GA • On-site

Contractor

Re-posted 24 days ago


Job description

Title: Data Quality Validation Test Engineer

Length: 12+ month contract

Location: Hybrid Atlanta (must be local to the area and able to work onsite 3 days/week)

USC/GC

Key Responsibilities

  • Work in large-scale, complex data ecosystems (warehousing, integration, engineering) to ensure data quality and accuracy across pipelines.
  • Read and interpret data models, source-to-target mappings, and transformation logic.
  • Design and implement Data Quality Validation frameworks, including:
  • Schema consistency checks
  • Data integrity validations
  • Transformation and mapping validation
  • Row-level and aggregate reconciliation
  • Develop and maintain automated data validation tests integrated into CI/CD pipelines (Azure DevOps, GitHub Actions).
  • Implement data quality gates to detect and block deployments with invalid data (null values, schema drift, unexpected row counts).
  • Collaborate with Data Engineers and DevOps teams to ensure test environments mirror production for consistency.
  • Integrate reporting tools and dashboards to provide real-time test outcomes and observability.
  • Support and enhance ETL/ELT workflows, ensuring robust orchestration and monitoring.


 

Required Skills & Experience

  • Strong background in SQL and Python for data validation and automation.
  • Hands-on experience with CI/CD pipelines using GitHub Actions and Azure DevOps.
  • Understanding of ETL/ELT workflows, data pipeline orchestration, and data observability.
  • Experience with data engineering platforms: Snowflake, Databricks, or Microsoft Fabric.
  • Proven experience in automated data validation frameworks, including real-time quality checks.
  • Ability to design and maintain data quality gates that safeguard production pipelines.
  • Experience working with DevOps and Data Engineering teams to ensure smooth integration and deployment.


 

Preferred Qualifications

  • Experience in large enterprise environments with complex business models and data systems.
  • Familiarity with reporting/visualization tools for surfacing data quality metrics.
  • Strong problem-solving skills with an ability to debug, troubleshoot, and optimize data validation processes.

Smart-iPlace logo

About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

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