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Part Time Data Engineer Jobs in Arkansas (NOW HIRING)

This is an in-person, part-time position, and Fellows are provided with a designated workstation ... Intermediate experience with one or more programming languages * Experience with data visualization ...

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Part Time Data Engineer information

See Arkansas salary details

$36.8K

$107.3K

$146.8K

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

As of Sep 6, 2026, the average yearly pay for part time data engineer in Arkansas is $107,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,700.00 and $113,700.00 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 Arkansas?

The most popular types of Data Engineer jobs in Arkansas are:

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

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

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

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

Infographic showing various Part Time Data Engineer job openings in Arkansas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $107,263 per year, or $51.6 per hour.

Razorback Analytic Fellow-2

University of Arkansas

Fayetteville, AR

Part-time

Medical, Dental, Life, Retirement

Posted 4 days ago


University Of Arkansas rating

6.6

Company rating: 6.6 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

503rd of 630 rated colleges and universities


Job description

Current University of Arkansas System employees, including student employees and graduate assistants, need to log in to Workday via MyApps.Microsoft.com, then access Find Jobs from the Workday search bar to view and apply for open positions.

Students at all University of Arkansas institutions will view open positions and apply within Workday by searching for "Find Jobs for Students."

University of Arkansas, Fayetteville students will view open positions and apply within Workday by searching for "Find Student Jobs at UAF."

All Job Postings will close at 12:01 a.m. CT on the specified Closing Date (if designated).

If you close the browser or exit your application prior to submitting, the application process will be saved as a draft. You will be able to access and complete the application through "My Draft Applications" located on your Candidate Home page.


Closing Date:

09/18/2026
Type of Position:Staff - Clerical


Workstudy Position:

No
Job Type:Temporary (Fixed Term)

Work Shift:


Sponsorship Available:

No
Institution Name: University of Arkansas, Fayetteville

Founded in 1871, the University of Arkansas is a land grant institution, classified by the Carnegie Foundation among the nation's top 2 percent of universities with the highest level of research activity. The University of Arkansas works to advance the state and build a better world through education, research, and outreach by providing transformational opportunities and skills, fostering a welcoming climate, and nurturing creativity, discovery, and the spread of new ideas and innovations.
The University of Arkansas campus is located in Fayetteville, a welcoming community ranked as one of the best places to live in the U.S. The growing region surrounding Fayetteville is home to numerous Fortune 500 companies and one of the nation's strongest economies. Northwest Arkansas is also quickly gaining a national reputation for its focus on the arts and overall quality of life.
As an employer, the University of Arkansas offers a vibrant work environment and a workplace culture that promotes a healthy work-life balance. The benefits package includes university contributions to health, dental, life and disability insurance, tuition waivers for employees and their families, 12 official holidays, immediate leave accrual, and a choice of retirement programs with university contributions ranging from 5 to 10% of employee salary.
Below you will find the details for the position including any supplementary documentation and questions, you should review before applying for the opening.
If you have a disability and need assistance with the hiring process, please submit a request via the Disability Accommodations | OEOC | University of Arkansas (uark.edu) : Request an Accommodation. Applicants are required to submit a request for each position of which they have applied.
For general application assistance or if you have questions about a job posting, please contact Human Resources at 479.575.5351.


Department:Razorback Analytic Fellowships


Department's Website:


Summary of Job Duties:The Razorback Analytics Fellowship provides University of Arkansas students with hands-on, part-time experience in applied data analytics through real-world projects that support University operations. Fellows partner with campus stakeholders to understand business needs and translate them into analytics solutions, including interactive dashboards and reports built in Power BI and related tools.
They analyze and transform data to support operational and strategic decision-making, and communicate findings through presentations, visualizations, and written summaries. Fellows also contribute to project teams, manage assigned tasks collaboratively, and apply best practices in data quality, documentation, and reporting. The Fellowship is designed to prepare students for careers in data analytics through practical experience, mentorship, and exposure to complex organizational data challenges.
Work Environment
Razorback Analytics Fellows work within the Department of Strategic Data and Process Innovation and collaborate with a variety of campus partners. This is an in-person, part-time position, and Fellows are provided with a designated workstation. Fellows work 10 to 20 hours per week, with flexibility to accommodate academic schedules. The Fellowship runs for the full academic year, from September through May, ending at the conclusion of the spring semester.
Regular, reliable, and non-disruptive attendance is an essential job duty, as is the ability to create and maintain collegial, harmonious working relationships with others.
Qualifications:

Minimum Qualifications

  • Current UA junior or senior student enrolled in an analytics-related degree program, such as Data Science, Information Systems, Statistics, Economics, Engineering, or a similar field, with at least a 3.0 cumulative GPA
  • Proficient with concepts covered in Calculus I and introductory statistics coursework
  • Familiarity with data analysis concepts and techniquessuch as data representation, retrieval, manipulation, storage, and governance
  • Foundational experience with at least one programming language (Python, R, SQL, etc.)
  • Strong interest in pursuing a career in data analytics or a related field


Preferred Qualifications

  • Completion of at least one programming focused course with a grade of B or higher, such as DASC 10201, DASC 12004, DASC 16003, CSCE 20004, CSCE 20104, or a similar course
  • Completion of at least one analytics focused course with a grade of B or higher, such as DASC 22103, DASC 22003, ISYS 20303, ISYS 31903, or a similar course
  • Proficient with concepts covered in Calculus II and/or advanced statistics coursework
  • Intermediate experience with one or more programming languages
  • Experience with data visualization tools, such as Python/R packages, Tableau, Power BI, or similar

Applicants do not need to meet all preferred qualifications to be competitive. Applications will be reviewed holistically based on preparation, interest, communication skills, and potential for growth.


Knowledge, Skills, and Abilities

  • Critical thinking and analytical skills
  • Strong written and verbal communication skills
  • Strong organizational and prioritization skills
  • Ability to work both independently and collaboratively


Additional Information:


Salary Information:

$15.00


Required Documents to Apply:

List of three Professional References (name, email, business title), Resume, Unofficial/Official Transcript(s), Writing Sample

Optional Documents:

Proof of Veteran Status


Recruitment Contact Information:

Salim Yahaya, HR Coordinator, salimy@uark.edu


All application materials must be uploaded to the University of Arkansas System Career Sitehttps://uasys.wd5.myworkdayjobs.com/UASYS

Please do not send to listed recruitment contact.


Special Instructions to Applicants:

Personal Statement, no more than one page, describing your interest in the program, how you meet the qualifications, and how the Fellowship aligns with your future goals
List of two Professional References from UA Faculty or Staff, including each reference's name, title, contact information, and relationship to you. References outside of UA will be considered only if they can speak to experiences relevant to data analytics.
Resume/CV, no more than two pages
Unofficial transcript showing GPA and relevant coursework
Pre-employment Screening Requirements:Criminal Background Check, Sex Offender Registry

The University of Arkansas is committed to providing a safe campus community. We conduct background checks for applicants being considered for employment. Background checks include a criminal background check and a sex offender registry check. For certain positions, there may also be a financial (credit) background check, a Motor Vehicle Registry (MVR) check, and/or drug screening. Required checks are identified in the position listing. A criminal conviction or arrest pending adjudication or adverse financial history information alone shall not disqualify an applicant in the absence of a relationship to the requirements of the position. Background check information will be used in a confidential, non-discriminatory manner consistent with state and federal law.

The University of Arkansas seeks to attract, develop and retain high quality faculty, staff and administrators that consistently display practices and behaviors to advance a culture that embeds equal opportunity, educational excellence and unparalleled access for all.

The University of Arkansas is an equal opportunity institution. The University does not discriminate in its education programs or activities (including in admission and employment) on the basis of any category or status protected by law, including age, race, color, national origin, disability, religion, protected veteran status, military service, genetic information, sex, sexual preference, or pregnancy. Questions or concerns about the application of Title IX, which prohibits discrimination on the basis of sex, may be sent to the University's Title IX Coordinator and to the U.S. Department of Education Office for Civil Rights.

Persons must have proof of legal authority to work in the United States on the first day of employment.

All Application information is subject to public disclosure under the Arkansas Freedom of Information Act.


Constant Physical Activity:N/A
Frequent Physical Activity:N/A
Occasional Physical Activity:N/A
Benefits Eligible:No

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