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How much do validation engineer part time jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for validation engineer part time in the United States is $52.00, according to ZipRecruiter salary data. Most workers in this role earn between $39.42 and $63.22 per hour, depending on experience, location, and employer.

What is a validation engineer part time?

A Validation Engineer in a part-time role is responsible for testing and verifying that products, systems, or processes meet regulatory and quality standards. They work in industries like pharmaceuticals, manufacturing, or software, ensuring compliance with industry regulations. Part-time validation engineers may focus on specific projects, conduct tests, analyze data, and create reports while working fewer hours than a full-time position. This role requires strong analytical skills, attention to detail, and knowledge of industry guidelines. It offers flexibility while maintaining a critical role in quality assurance and compliance.

What are the typical responsibilities of a validation engineer part time?

As a part-time Validation Engineer, your primary responsibilities usually include developing and executing validation protocols, analyzing testing data, and documenting results to comply with industry standards and regulations. You may also assist in troubleshooting issues, collaborating closely with quality assurance, manufacturing, or R&D teams to ensure processes or products meet required specifications. The part-time structure often means handling specific projects or validation phases, making time management and prioritization crucial. This role is ideal for professionals seeking flexibility while still contributing technical expertise to critical validation activities.

What are the key skills and qualifications needed to thrive in the validation engineer part time position, and why are they important?

To thrive as a Validation Engineer Part Time, you need a solid background in engineering, quality assurance, and regulatory standards, often supported by a relevant degree in engineering or a related technical field. Familiarity with validation protocols, data acquisition tools, and industry-specific software such as statistical analysis and document management systems is typically required. Strong analytical thinking, attention to detail, and effective communication are standout soft skills in this position. These skills are essential to ensure products or processes meet stringent quality standards while efficiently coordinating with cross-functional teams on a part-time schedule.

Are validation engineers in demand?

Validation engineers are in demand across industries such as pharmaceuticals, biotechnology, and manufacturing, where ensuring compliance and quality standards is critical. The role often requires knowledge of regulatory requirements, validation protocols, and tools like GxP and IQ/OQ/PQ, making experienced professionals valuable in these fields.

Do validation engineers make good money?

Validation engineers typically earn competitive salaries that vary based on experience, industry, and location. They often require knowledge of quality systems, validation protocols, and tools like GMP or ISO standards, which can influence compensation. Part-time roles may offer lower pay compared to full-time positions, but they can still provide a solid income in the engineering field.
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What states have the most Validation Engineer Part Time jobs?

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Validation Engineer Part Time jobs near you
Infographic showing various Validation Engineer Part Time job openings in the United States as of September 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $108,152 per year, or $52 per hour.

Jr. Data Engineer (Part-Time)

Spartanburg, SC • On-site

American Credit Acceptance
See more jobs at American Credit Acceptanceexternal

Part-time

Posted 20 days ago

Key responsibilities

  • Prompt, review, debug, and validate AI-generated code with minimal supervision.

  • Collaborate with business partners to turn requirements into precise prompt and acceptance criteria.

  • Identify bugs, security issues, performance problems, or architectural mismatches in AI output and address them.

American Credit Acceptance rating

7.3

Company rating: 7.3 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

Description

American Credit Acceptance will not provide sponsorship for employment-based visas or immigration benefits for this position. Applicants must be legally authorized to work in the United States without requiring immigration sponsorship now or in the future.
This role is designed for local college students able to work onsite a few hours a week.
Summary
Are you obsessed with solving business problems that have a real positive impact on our customers and company? We are an AI-first engineering shop, leveraging AI tools to solve business problems. As an entry-level Data Engineer, you will be the pilot driving AI tools for code generation, peer reviews, security scanning, quality assurance and production support. Your primary responsibility is not to hand-write code all day, but to serve as the skilled, human-in-the-cockpit ensuring AI-generated products correct, secure, performant, and solves the most important, impactful business problems.
Essential Functions
Reasonable accommodation may be provided for individuals with disabilities to perform these essential functions
· Priority #1 is knowing our business. You will be provided with extensive training on our business and then be expected to take the initiative to maintain and grow this knowledge.
· You will then use your business knowledge to unleash your internal entrepreneur to identify, understand and solve business problems.
· You will solve business problems by building AI-generated solutions:
· Collaborate closely with business partners to turn requirements into precise prompt and acceptance criteria
· Prompt, review, debug, and validate AI-generated code with minimal supervision
· Expertly prompt and iterate with AI coding tools to produce high-quality solutions
· Perform code reviews on AI-generated and human-written pull requests
· Prompt and maintain unit, integration, and end-to-end tests
· Identify bugs, security issues, performance problems, or architectural mismatches in AI output and either fix them or re-prompt effectively
· After you launch the solution, you will constantly circle back with the business to see if the solution is solving the problem and rapidly iterate through changes to improve the effectiveness of the solution.
· You may do this in a team setting with other engineers or tackle a problem independently.
Qualifications
· Bachelor’s degree in computer science, Data Engineering, or related discipline (future 2026 -2027 graduates strongly encouraged)
· 0–2 years of professional experience (internships and academic/personal projects count)
· Ability to quickly read, understand, and debug C# /.NET code
· Experience AI coding assistant preferred
· Working knowledge of C#, ASP.NET Core, Web API, Entity Framework Core, JavaScript/TypeScript, HTML, CSS, SQL and relational databases, Git and PR-based workflows
· Strong analytical and problem-solving skills with attention to detail
· Excellent verbal, written, and communication skills
· Enthusiasm for AI-driven development and prompt engineering
Supervisory Responsibility
This position will not have supervisory responsibility.
Work Environment and Physical Demands
This job is operated in a fully onsite in-person professional office. This role routinely uses standard office equipment such as computers and phones.
Position Type/Expected Hours of Work
This is a part-time position with workdays between Monday and Friday. 
Travel
This position will not require travel.
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
EEO Statement  
ACA provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. ACA complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.
California Privacy Notice 
As an employer of California residents, we are dedicated to protecting your privacy rights. Any personal information you provide during the application process will be used solely for permitted internal purposes and will be handled in accordance with applicable privacy laws. By applying to this position, you consent to the collection, use, and disclosure of your personal information as described in our Employee Privacy Notice.

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