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Data Qa Engineer Seasonal Jobs (NOW HIRING)

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

NAVA Software solutions is looking for a QA Engineer Details: QA Engineer Location: Houston, TX (2 ... Focused on Data Validation * Strong SQL skills * Any tools for data quality/ validation

Data QA Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

We are is looking for talented, enthusiastic senior data engineers who share our passion for big ... Qualifications Minimum Qualifications * 5+ years of work experience in QA, preferably in data or ...

Data QA Engineer

Bethesda, MD · On-site

$122K - $146K/yr

We are is looking for talented, enthusiastic senior data engineers who share our passion for big ... Qualifications Minimum Qualifications * 5+ years of work experience in QA, preferably in data or ...

Data QA

Chicago, IL · Hybrid

$100K - $125K/yr

Position Summary We are seeking a Data QA Engineer to own and elevate data quality across our data pipelines, transformations, and analytics outputs. This role is focused entirely on back-end data ...

... assurance engineers ... Coordinate and collaborate with data quality control analysts and engineers in testing and ...

Lead Data QA

Philadelphia, PA

$130K/yr

Collaborate with data governance, engineering, and architecture teams to embed QA best practices across the data lifecycle. Data Testing & Validation Design and implement automated test plans ...

The QA Engineer will work in the agile teams and will lead all the QA efforts of Market Data and ... On-Air systems. We are looking for candidates with strong manual and automated testing experience ...

Position Title * QA Engineer ACSPA0F35 Position Responsibilities QA Engineer Location: Plano, TX- ... years of Data/File/Database and ETL/Data warehouse testing and proficient in testing all ...

Validate APIs, services, and data models used by mobile apps, vehicles, and fleet management tools ... As a QA Engineer, you will play an instrumental role in securing the high-quality operation of our ...

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Data Qa Engineer Seasonal information

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$44.5K

$129.7K

$177.5K

How much do data qa engineer seasonal jobs pay per year?

As of Jun 14, 2026, the average yearly pay for data qa engineer seasonal in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.
What cities are hiring for Data Qa Engineer Seasonal jobs? Cities with the most Data Qa Engineer Seasonal job openings:
What are the most commonly searched types of Data Qa Engineer jobs? The most popular types of Data Qa Engineer jobs are:
What states have the most Data Qa Engineer Seasonal jobs? States with the most job openings for Data Qa Engineer Seasonal jobs include:

$111K - $134K/yr

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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: