ZipRecruiter

Log In

2

Part Time Data Processing Jobs in California (NOW HIRING)

Goodwill

Retail Merchandise Processor Part Time

Bell, CA · On-site

$15.15/hr

Responsible for processing required amount of donated merchandise in preparation for sale at ... The company also uses secure tools on our website to receive data from applicants and would never ...

Kellanova

Payroll Financial Analyst

San Jose, CA

$87.50K - $120.34K/yr

Experience with payroll and some financial data processing * Proficiency in Microsoft Excel ... Part-time employees may have access to benefits on a pro-rated basis. See KellanovaTotalHealth.com ...

next page

Showing results 1-20

People also search for

All JobsPart Time Data Processing JobsPart Time Data Processing Jobs in California

Part Time Data Processing information

See California salary details

$9

$19

$30

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

As of May 31, 2026, the average hourly pay for part time data processing in California is $19.98, according to ZipRecruiter salary data. Most workers in this role earn between $15.96 and $22.21 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Part Time Data Processing professional, and why are they important?

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 some common challenges faced in a part-time data processing role, 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 are part time data processing jobs?

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 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 California? The most popular types of Data Processing jobs in California are:
What are popular job titles related to Part Time Data Processing jobs in California? For Part Time Data Processing jobs in California, the most frequently searched job titles are:
What job categories do people searching Part Time Data Processing jobs in California look for? The top searched job categories for Part Time Data Processing jobs in California are:
What cities in California are hiring for Part Time Data Processing jobs? Cities in California 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 California as of May 2026, with employment types broken down into 1% As Needed, 64% Full Time, 34% Part Time, and 1% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $41,556 per year, or $20 per hour.
Part-Time Adjunct Instructor - Data and Communication Capstone

Part-Time Adjunct Instructor - Data and Communication Capstone

University of South Carolina

Los Angeles, CA • On-site

Part-time

Medical, Life, Retirement

Posted 10 days ago

Job description

Posting Summary
Logo Posting Number TMP00913PO26 Job Code Title Adjunct Instructor Advertised Title Part-Time Adjunct Instructor - Data and Communication Capstone Campus Columbia College/Division College of Information and Communications Department CIC College of Information and Communications Salary Based on credit hours Location of Vacancy Part/Full Time Part Time Hours per Week 10 Work Schedule
Must be willing to work a flexible schedule to meet the needs of the department.
Job Search Category Temporary Faculty
About USC
About University of South Carolina
From the Upstate to the Lowcountry, the University of South Carolina system is transforming the lives of South Carolinians through the impact of our eight institutions and 20 locations throughout the state. More than 50,000 students are enrolled at one of eight institutions, including the research campus in Columbia and comprehensive four-year universities in Aiken, Upstate and Beaufort. In addition, our Palmetto College campuses in Salkehatchie, Union, Lancaster and Sumter enable students to earn associate or bachelor's degrees through a combination of in-person, online or blended learning. All of our system institutions place strong emphasis on service - helping to build healthier, more educated communities in South Carolina and beyond.
Benefits for Temporary Positions
The University of South Carolina (USC), through the State of SC and Public Employee Benefit Authority (PEBA), offers temporary employees expected to work at least 30 hours per week health and life insurance, flexible spending accounts and retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu.
Position Description
Advertised Job Summary
Part-Time Adjunct Instructor - Data and Communication Capstone (ICOM 788)
The University of South Carolina's College of Information and Communications invites applications for a part-time instructor to teach a capstone course in our Master of Data and Communication (MDC) program. This is an exciting opportunity to bring real-world expertise in data analytics and marketing technology into a graduate learning environment.
About the Course
This eight-week capstone experience challenges students to integrate and apply the data analysis and communication skills developed throughout the MDC program. Working through an extended industry case, students engage with contemporary tools and methods including big data market research, customer segmentation, AI-powered sentiment analysis, personalization strategies, and automated customer engagement. The course is practical, applied, and fast-paced-designed to prepare graduates for immediate professional impact.
Responsibilities
  • Prepare course prior to delivery.
  • Deliver eight weeks of online instruction in an online, asynchronous format.
  • Guide students through applied assignments in market research, segmentation, sentiment analysis, marketing performance modeling, and AI-driven customer engagement
  • Provide timely, substantive feedback on student assignments
  • Collaborate with college program leadership on course coordination as needed.
Qualifications
  • Master's degree in a relevant field (data science, marketing analytics, business, information science, communications, or related discipline)
  • Demonstrated professional experience applying data analysis to marketing, customer engagement, or business intelligence contexts
  • Familiarity with tools such as Google Trends, generative AI platforms (e.g., ChatGPT), and large language model applications
  • Strong communication skills and ability to translate technical content for graduate-level learners
Job Duties
Posting Detail Information
Number of Vacancies Desired Start Date 08/16/2026 Proposed End Date 12/31/2026 Job Open Date 05/21/2026 Job Close Date 08/01/2026 Open Until Filled No Special Instructions to Applicant
  • Official transcripts are required prior to start date.
  • While two letters of recommendation are listed as optional, these are require by the start date and should be emailed to Rachel Rolli at rachelrolli@sc.edu. Letters should be on letterhead and signed.
This employment site is updated on a regular basis. The length of the recruitment and screening process may vary from position to position, depending upon a variety of factors. Should review of your qualifications result in a decision to pursue your candidacy, you will be contacted by phone or email. 
Quicklink for Posting https://uscjobs.sc.edu/postings/206779 EEO Statement
The University of South Carolina does not discriminate in educational or employment opportunities or decisions for qualified persons on the basis of age, ancestry, citizenship status, color, disability, ethnicity, familial status, gender (including transgender), gender identity or expression, genetic information, HIV/AIDs status, military status, national origin, pregnancy (false pregnancy, termination of pregnancy, childbirth, recovery therefrom or related medical conditions, breastfeeding), race, religion (including religious dress and grooming practices), sex, sexual orientation, veteran status, or any other bases under federal, state, local law, or regulations.

Apply