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Part Time Data Engineer Jobs in South Carolina (NOW HIRING)

$99K - $225K/yr

... programming languages for data analysis * 4+ years of experience analyzing structured and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

$62K - $141K/yr

Experience with statistical and general-purpose programming languages for data analysis * Knowledge ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Posted today

Content Developer

Mount Pleasant, SC · On-site

$117K - $122K/yr

Flexible hours Engagement: PT, FT, Contract; Possible equity. About Heirloom Heirloom helps ... Optimize content for SEO and discoverability (titles, descriptions, structured data, internal ...

Content Developer

Mount Pleasant, SC

$117K - $122K/yr

Flexible hours Engagement: PT, FT, Contract; Possible equity. About Heirloom Heirloom helps ... Optimize content for SEO and discoverability (titles, descriptions, structured data, internal ...

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Showing results 1-20

Part Time Data Engineer information

See South Carolina salary details

$41.3K

$120.4K

$164.7K

How much do part time data engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for part time data engineer in South Carolina is $120,371.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,200.00 and $127,600.00 per year, depending on experience, location, and employer.

What is a part time data engineer?

A Part-Time Data Engineer is responsible for designing, building, and maintaining data pipelines and databases on a reduced-hour basis. They work with structured and unstructured data to ensure efficient storage, retrieval, and processing, often collaborating with data analysts and scientists. This role is ideal for professionals seeking flexible work arrangements while still contributing to data infrastructure and analytics. Part-time data engineers may work as freelancers, consultants, or employees with reduced-hour contracts. Their responsibilities can vary based on company needs but typically involve ETL processes, cloud data management, and performance optimization.

What types of projects and responsibilities can I expect as a part time data engineer?

As a Part Time Data Engineer, you might work on projects such as developing and maintaining data pipelines, optimizing database performance, and preparing data for analytics and reporting. Responsibilities often include extracting, transforming, and loading (ETL) data, collaborating with data analysts and scientists, and troubleshooting data-related issues. You may also help implement data quality checks or participate in cloud migration initiatives. The scope of your work will typically be focused and project-based, making sure your contributions have a tangible impact within a flexible schedule.

What are the key skills and qualifications needed to thrive as a part time data engineer?

To thrive as a Part Time Data Engineer, you need strong programming skills (usually in Python, SQL, or Scala), a solid understanding of data warehousing concepts, and experience with ETL pipelines, typically supported by a relevant degree or equivalent experience. Familiarity with cloud platforms like AWS, Azure, or Google Cloud, and relevant certifications such as Google Professional Data Engineer or AWS Certified Data Analytics, are highly valued. Effective time management, problem-solving abilities, and clear communication are standout soft skills for this flexible role. These skills are crucial because they enable part-time data engineers to efficiently deliver reliable data solutions while collaborating across teams in dynamic work environments.

Are part time data engineers still in demand?

Part-time data engineers are still in demand as organizations seek flexible staffing for data management, analytics, and infrastructure projects. Skills in SQL, cloud platforms, and data pipeline tools remain valuable, and remote or flexible schedules are increasingly common in this field.

Can I work remotely as a part time data engineer?

Part time data engineers can often work remotely, especially if the employer supports telecommuting and the role involves tasks like data analysis, pipeline development, or database management that can be performed online. Remote work arrangements depend on company policies, project requirements, and the need for collaboration or on-site access to certain tools or data.

What are the most commonly searched types of Data Engineer jobs in South Carolina?

The most popular types of Data Engineer jobs in South Carolina are:

What are popular job titles related to Part Time Data Engineer jobs in South Carolina?

For Part Time Data Engineer jobs in South Carolina, the most frequently searched job titles are:

What job categories do people searching Part Time Data Engineer jobs in South Carolina look for?

The top searched job categories for Part Time Data Engineer jobs in South Carolina are:

Infographic showing various Part Time Data Engineer job openings in South Carolina as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $120,371 per year, or $57.9 per hour.

Jr. Data Engineer (Part-Time)

American Credit Acceptance

Spartanburg, SC • On-site

Full-time, Part-time

Posted 9 days ago


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 full-time position. Workdays are Monday through Friday with flexible core hours. Occasional hours beyond 40 per week may be required during releases; on-call or weekend work is rare for entry-level roles.
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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