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Part Time Data Processing Jobs in Illinois (NOW HIRING)

University of Utah

Research Specialists

Campus, IL

$14.38 - $27.87/hr

No Standard Hours per Week 19 Full Time or Part Time? Part Time Shift Day Work Schedule Summary TBD ... Key Responsibilities Develop, maintain, and optimize data processing pipelines for clinical and ...

University of Utah

PS UU Student - Research

Campus, IL · On-site

$15/hr

Yes Standard Hours per Week 19 Full Time or Part Time? Part Time Shift Day Work Schedule Summary Is ... Apply computational thinking and basic data processing methods to improve data accessibility and ...

Cresco Labs

Processing Agent

Lincoln, IL

$18/hr

... data, skills, experience, and other relevant factors. For questions about this please discuss with ... Benefits eligibility for permanent positions may vary by full-time or part-time roles, location, or ...

Cresco Labs

Processing Agent

Lincoln, IL · On-site

$18/hr

... data, skills, experience, and other relevant factors. For questions about this please discuss with ... Benefits eligibility for permanent positions may vary by full-time or part-time roles, location, or ...

Alliant Credit Union

Lead Data Engineer

Chicago, IL

$106K - $182K/yr

Provide input and develop new processes and standards in support of the organization's business ... regular part-time, or temporary employment. Adhere to and ensure compliance of all business ...

Booz Allen Hamilton, Inc.

Data Security Engineer

IL · On-site +1

$86K - $198K/yr

... and risk management processes for enterprise systems * Bachelor's degree in IT Security, ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Security Engineer

IL · On-site +1

$86K - $198K/yr

... and risk management processes for enterprise systems * Bachelor's degree in IT Security, ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Undisclosed

Be Seen First

Part time Bookkeeper

Bolingbrook, IL · On-site

$22 - $25/hr

We are seeking a detail-oriented part-time Bookkeeper to manage the financial records of a busy ... Perform data entry and invoice processing * Reconcile bank statements accurately * Track and record ...

DePaul

Adjunct Faculty in Data Science

Chicago, IL · On-site

Part-time Faculty Positions DePaul University invites expressions of interest for a pool of ... and database processing. We seek instructors with professional experience in data science and ...

Booz Allen Hamilton, Inc.

Data Security Engineer, Senior

IL · On-site +1

$86K - $198K/yr

... and risk management processes for enterprise systems * Bachelor's degree in IT Security, ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Showing results 41-60

All JobsData Processing JobsPart Time Data Processing JobsPart Time Data Processing Jobs in Illinois

Part Time Data Processing information

See Illinois salary details

$9

$18

$29

How much do part time data processing jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for part time data processing in Illinois is $18.95, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $21.06 per hour, depending on experience, location, and employer.

What is a part time data processing job?

Part time data processing jobs involve handling, organizing, and managing data on a flexible or reduced-hour schedule. These roles typically require entering, updating, and verifying data in computer systems or databases. Common tasks may include data entry, cleaning up existing information, or generating reports. Part time positions are ideal for students, parents, or anyone seeking work-life balance, and can be found in various industries such as healthcare, finance, and retail.

What are the key skills and qualifications needed for a part time data processing job?

To thrive in Part Time Data Processing, you need strong attention to detail, accuracy, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with spreadsheet software like Microsoft Excel, database systems, and sometimes data entry platforms is typically required. Time management, reliability, and effective communication are important soft skills that help ensure consistent and error-free work. These skills are crucial for maintaining data integrity and supporting organizational efficiency in data-driven environments.

What are common challenges faced in a part time data processing job, and how can they be managed?

Part-time data processing professionals often encounter challenges like tight deadlines, handling large data volumes, and ensuring accuracy despite working fewer hours. Staying organized and maintaining clear communication with supervisors can help manage shifting priorities and workloads. Additionally, utilizing automation tools and regularly verifying data accuracy can streamline tasks and reduce errors, making it easier to balance responsibilities within a part-time schedule.

What is the difference between Part Time Data Processing vs Part Time Data Entry?

AspectPart Time Data ProcessingPart Time Data Entry
CredentialsBasic computer skills, familiarity with data processing softwareBasic computer skills, proficiency in typing and data entry tools
Work EnvironmentRemote or office-based, handling data files and softwareRemote or office-based, entering data into spreadsheets or databases
Industry UsageBusiness, finance, healthcare, and tech sectorsAdministrative, retail, healthcare, and customer service sectors

Part Time Data Processing involves managing and analyzing data using specialized software, often requiring some familiarity with data management tools. Part Time Data Entry focuses on inputting data into systems, emphasizing typing speed and accuracy. While both roles are often remote and require basic computer skills, data processing may involve more technical tasks, whereas data entry is more straightforward and clerical. Understanding these differences helps job seekers find roles that match their skills and career goals.

What are the most commonly searched types of Data Processing jobs in Illinois?

The most popular types of Data Processing jobs in Illinois are:

What cities in Illinois are hiring for Part Time Data Processing jobs?

Cities in Illinois with the most Part Time Data Processing job openings:

Part Time Data Processing jobs near you
Infographic showing various Part Time Data Processing job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $39,407 per year, or $18.9 per hour.

Research Specialists

University of Utah

Campus, IL

$14.38 - $27.87/hr

Part-time

Retirement

Re-posted 14 days ago

University Of Utah rating

7.2

Company rating: 7.2 out of 10

Based on 159 frontline employees who took The Breakroom Quiz

385th of 621 rated colleges and universities

Job description

Details
Open Date 06/05/2026 Requisition Number PRN17122N Job Title Research Specialists Working Title Research Specialists Career Progression Track P00 Track Level P2 - Developing FLSA Code Professional Patient Sensitive Job Code? No Type Non Benefited Staff / Student Temporary? No Standard Hours per Week 19 Full Time or Part Time? Part Time Shift Day Work Schedule Summary
TBD
Is this a work study job? No VP Area U of U Health - Academics Department 00952 - Division of Epidemiology Location Campus City Salt Lake City, UT Type of Recruitment External Posting Pay Rate Range $14.38 - $27.87 Close Date 09/05/2026 Priority Review Date (Note - Posting may close at any time) Job Summary
Research Specialists
The Division of Epidemiology in the Department of Internal Medicine is seeking a Research Analyst to support applied research at the intersection of healthcare, artificial intelligence, and data analysis The primary focus of this role will be large language model (LLMs) and other machine learning model evaluation/deployment, clinical data pipeline development, and natural language processing (NLP)-based chart abstraction. The work will be performed using publicly available data, such as MIMIC-IV, and protected data from the University of Utah Health and the Veterans Health Administration within the UofU CHPC and VA VINCI secure computing environments. This position offers meaningful opportunities to engage in translational research that directly impacts patient care and health system operations.

Key Responsibilities

Develop, maintain, and optimize data processing pipelines for clinical and research datasets using Python and SQL.
Assist with the design, training, and evaluation of machine learning models applied to healthcare problems.
Support research workflows within established Linux-based environments under technical supervision.
Conduct exploratory data analysis and prepare visualizations and summary reports for research collaborators.
Contribute to manuscript preparation, documentation, and reproducible research practices.
Collaborate with clinical and research faculty, staff, and other trainees.
Work within secure, access-controlled computing environments (e.g., VA VINCI, CHPC) following data governance and compliance requirements
Learn more about the great benefits of working for University of Utah: benefits.utah.edu
The department may choose to hire at any of the below job levels and associated pay rates based on their business need and budget.
Responsibilities
Research Specialist, II
Set up and conduct experiments according to established research protocols while working under the direction of scientists. Perform a variety of tasks contributing to tests and studies to support the objectives of research projects. Prepare samples for analysis and perform laboratory tasks and procedures. Collect and analyze data, and test, validate, and document results. Summarize research findings to help inform decisions. Assist in the preparation of research documentation, such as grants, regulatory submissions, manuscripts, reports, summaries, publications, and presentations. Remain knowledgeable in the research methods, techniques, and developments in field of specialty. Requires moderate skill set and proficiency in discipline. Conducts work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment.

Requires a bachelor's (or equivalency) + 4 years or a master's (or equivalency) + 2 years of directly related work experience.
This is a Developing-Level position in the General Professional track.
Job Code: P56432
Grade: P13




Minimum Qualifications
EQUIVALENCY STATEMENT: 1 year of higher education can be substituted for 1 year of directly related work experience (Example: bachelor's degree = 4 years of directly related work experience).

Department may hire employee at one of the following job levels:

Research Specialist, II: Requires a bachelor's (or equivalency) + 4 years or a master's (or equivalency) + 2 years of directly related work experience.
Required

Educational background (completed a Bachelor's or Master's degree or currently enrolled in a Master's degree) in computing, data science, applied mathematics, medical/health informatics, or a closely related discipline.
Intermediate to advanced proficiency in Python and SQL.
Experience applying NLP or machine learning methods to real-world datasets (e.g., clinical text, scientific text, or similarly complex unstructured data)
Intermediate to advanced experience working independently in a Linux environment (shell scripting, package management, user and service configuration).
Ability to execute defined tasks independently while receiving structured requirements and technical guidance.
Availability to attend on-site meetings or work in person for part of the scheduled time.
This position requires eligibility for a VA appointment to access VA research systems (e.g., VINCI). Due to federal requirements, eligibility may be limited based on citizenship or visa status.


Preferences

Preferred

Experience using or modifying machine learning models such as decision trees, Bayesian models, deep learning architectures, transformers, or LLMs.
Familiarity with healthcare data standards (e.g., SNOMED CT, LOINC, RxNorm) or electronic health record systems.
Experience with version control (Git/GitHub) and collaborative software development practices.
Experience in writing and publishing scientific or technical work in peer-reviewed papers, whitepapers, technical articles, or blogs.
Special Instructions Summary
Submit a link to your GitHub repository or portfolio of technical work and writing (peer-reviewed papers or other technical/scientific articles, blogs, etc.) is strongly preferred. Applications will be reviewed on a rolling basis.
Additional Information
The University is a participating employer with Utah Retirement Systems ("URS"). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS' post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules.
This position may require the successful completion of a criminal background check and/or drug screen.
The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education.
Veterans' preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.
Consistent with state and federal law, the University of Utah does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran's status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.
To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Title IX (OEO). More information, including the Director/Title IX Coordinator's office address, electronic mail address, and telephone number can be located at the: University of Utah NonDiscrimination page.
Online reports may be submitted at https://oeo.utah.edu

https://publicsafety.utah.edu/safetyreport/ This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South.

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About University of Utah

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The University of Utah is the state’s flagship institution of higher education, with 18 schools and colleges, more than 100 undergraduate majors and graduate programs, and an enrollment of more than 38,000 students. It is a member of the Association of American Universities—an invitation-only, prestigious group of 71 leading research institutions. The U is advancing a new national model for higher education that delivers societal impact through education, research, health care, and community service, while making social, economic, and cultural contributions that improve lives across Utah and around the world.

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Company size

10,000+ Employees

Headquarters location

Salt Lake City, UT, US

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