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Data Qa Engineer Jobs in Georgia (NOW HIRING)

UniqueHire Consulting LLC

Data QA Engineer

Alpharetta, GA

$111K - $134K/yr

Data QA Engineer Job Location: ALPHARETTA, GA- onsite is a must Long Term Contract Job Summary: We are looking for a Data QA Engineer with strong expertise in data analysis, validation, and quality ...

New

Membersuite

Quality Assurance Engineer

Dunwoody, GA

Our product is extremely sophisticated, with a metadata layer allowing for customer-specific data ... But wait - we want QA engineers who have more than one dimension to bring to our team. Fly ...

Membersuite

Quality Assurance Engineer

Dunwoody, GA · On-site

Our product is extremely sophisticated, with a metadata layer allowing for customer-specific data ... But wait - we want QA engineers who have more than one dimension to bring to our team. Fly ...

AMETEK

Senior QA Engineer

Atlanta, GA · On-site

... QA Engineer to own end-to-end testing and quality assurance for their Industrial IoT device ... IoT telemetry → data ingestion → processing → storage → reporting and/or API extraction ...

CGI Inc.

QA Engineer

Atlanta, GA · On-site

QA Engineer Category: Testing/Quality Assurance Main location: United States, Georgia, Atlanta ... Validate data across APIs, databases, and services . Participate in Agile ceremonies (standups ...

Ametek

Senior QA Engineer

Atlanta, GA · On-site

We are seeking a Senior QA Engineer to own end-to-end testing and quality assurance for our ... The validation scope spans system, integration, and data validation testing for applications and ...

ScioTeq

Quality Assurance Engineer

Duluth, GA · On-site

The Quality Assurance Engineer - NPI/OPS plays a key role in ensuring that new product introductions (NPI) and Operational activities and products comply with customer, regulatory, and certification ...

Ametek

Senior QA Engineer

Atlanta, GA · On-site

We are seeking a Senior QA Engineer to own end-to-end testing and quality assurance for our ... The validation scope spans system, integration, and data validation testing for applications and ...

Worth AI

Quality Assurance (QA) Engineer

Atlanta, GA · On-site +1

Expert in PostgreSQL and SQL testing (complex queries for data integrity). * Performance Testing ... CI/CD & DevOps Practices: Familiar with building, deploying, and automating test runs in CI ...

SupplyHouse

QA Engineer

Atlanta, GA · Remote

$18K - $23K/yr

Through an Employer of Record (EOR), we are looking for a new, remote QA Engineer in India to join our growing IT Team. This individual will report into our QA Team Lead and work closely with cross ...

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All JobsData Qa Engineer JobsData Qa Engineer Jobs in Georgia

Data Qa Engineer information

See Georgia salary details

$37.6K

$109.5K

$149.9K

How much do data qa engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for data qa engineer in Georgia is $109,530.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,700.00 and $116,100.00 per year, depending on experience, location, and employer.

Is QA replaced by AI?

Quality Assurance (QA) engineers, including Data QA Engineers, use AI tools to automate testing and improve accuracy, but AI has not fully replaced the need for human oversight. QA roles now often involve managing AI-driven testing processes, analyzing results, and ensuring data quality, making the role more focused on oversight and interpretation rather than manual testing alone.

What does a data QA engineer do?

A data QA engineer is responsible for testing and validating data quality, accuracy, and integrity within data pipelines and systems. They develop test plans, use tools like SQL and data validation frameworks, and collaborate with data engineers to identify and resolve data issues, ensuring reliable data for decision-making.

What engineers make 300,000 a year?

Senior data QA engineers with extensive experience, advanced skills in testing automation, and certifications can earn around $300,000 annually, especially in high-cost-of-living areas or within large tech companies. Achieving this salary often requires expertise in tools like Selenium, Python, or SQL, along with leadership responsibilities and a strong understanding of data quality standards.

What are some typical challenges faced by Data QA Engineers on the job?

Data QA Engineers often encounter complex challenges such as identifying subtle data inconsistencies, managing large volumes of data across multiple sources, and ensuring testing keeps pace with rapidly evolving datasets and business requirements. You'll regularly need to investigate root causes of data issues, develop automated solutions for regression testing, and collaborate with data engineers, analysts, and product teams to clarify data expectations. The fast-paced environment demands adaptability and a proactive approach to improving data reliability. Overcoming these challenges helps maintain data integrity and contributes significantly to business success.

What engineers make $500,000?

Senior data QA engineers with extensive experience, advanced skills in automation and testing tools, and often certifications can reach salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Such compensation typically includes base salary, bonuses, and stock options. Achieving this level usually requires a combination of technical expertise, leadership, and years of industry experience.

What is a Data QA Engineer job?

A Data QA Engineer ensures the accuracy, reliability, and integrity of data by testing data pipelines, ETL processes, and data warehouses. They design and execute test cases, identify data quality issues, and collaborate with data engineers to resolve defects. Their role is crucial in maintaining high-quality data for analytics, reporting, and decision-making.

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

To thrive as a Data QA Engineer, you need a solid understanding of data quality principles, database management, and strong analytical skills, often supported by a degree in computer science or a related field. Familiarity with data validation tools, SQL, automation frameworks (such as Selenium or pytest), and certifications like ISTQB are commonly expected. Attention to detail, effective problem-solving, and strong communication help you collaborate efficiently across data and engineering teams. These abilities ensure accurate, reliable data pipelines and trustworthy analytics, which are critical for business decision-making.

What are popular job titles related to Data Qa Engineer jobs in Georgia? For Data Qa Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Data Qa Engineer jobs in Georgia look for? The top searched job categories for Data Qa Engineer jobs in Georgia are:
What cities in Georgia are hiring for Data Qa Engineer jobs? Cities in Georgia with the most Data Qa Engineer job openings:
Data Qa Engineer jobs near you
Infographic showing various Data Qa Engineer job openings in Georgia as of June 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $109,530 per year, or $52.7 per hour.

Data QA Engineer

UniqueHire Consulting LLC

Alpharetta, GA

$111K - $134K/yr

Other

Posted yesterday

Job description

Data QA Engineer

Job Location: ALPHARETTA, GA- onsite is a must

Long Term Contract

 

Job Summary:

We are looking for a Data QA Engineer with strong expertise in data analysis, validation, and quality assurance processes. The ideal candidate will have hands-on experience with Excel, SQL, and Python to ensure data integrity, accuracy, and consistency across large datasets.

This role requires strong analytical skills, attention to detail, and the ability to identify data anomalies and ensure high-quality data for business decision-making.

Notes from Client
Must Have Skills
• Skill 1 – Advanced SQL (Data querying, joins, validation)
• Skill 2 – Python (Scripting & automation for data QA)
• Skill 3 – Data Analysis (Excel & large dataset handling)
• Skill 4 – Data Validation & Data Quality Checks
• Skill 5 – Data Cleaning & Preprocessing (handling missing data, duplicates)
• Skill 6 – Data Integrity & Consistency Validation
• Skill 7 – Statistical Analysis & Anomaly Detection
• Skill 8 – Business Rule Validation & Logical Analysis

________________________________________

Key Responsibilities:

• Perform data analysis and validation using Excel and SQL for querying, manipulation, and verification

• Develop and execute data QA processes to ensure data integrity and quality

• Write Python scripts to automate data validation and QA workflows

• Analyze large datasets to identify trends, patterns, and anomalies

• Apply statistical methods and logical reasoning to validate data accuracy and completeness

• Define and enforce business rules to ensure data aligns with business objectives

• Clean, organize, and prepare raw data for analysis and validation

• Handle missing data, remove duplicates, and ensure consistency using Python and data processing techniques

• Perform end-to-end data quality checks and support QA lifecycle activities

________________________________________

Required Skills (Must Have):

1. Data Analysis & Validation

• Data Analysis using Excel

• Advanced SQL (Data querying, joins, aggregation, validation)

• Data Verification & Quality Checks

2. Programming & Automation

• Python Scripting

• Automation of Data QA Processes

• Data Cleaning & Pre-processing

3. Data Quality & Governance

• Data Integrity Validation

• Handling Missing Data & Duplicates

• Data Consistency & Accuracy Checks

• Business Rule Validation

4. Analytical Skills

• Statistical Analysis Basics

• Trend & Pattern Identification

• Anomaly Detection

• Logical & Analytical Thinking

________________________________________

Preferred Skills:

• Experience working with large-scale datasets

• Exposure to data QA frameworks or tools

• Experience in data pipeline validation or ETL QA

• Knowledge of data governance practices

📩 Interested candidates, please connect or share resumes at:

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