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Electronic Data Processing Jobs in California (NOW HIRING)

Data Architect

Sacramento, CA · On-site

$68 - $87.50/hr

Qualifications 1. Must have a minimum of fifteen (15) years of experience in electronic data processing systems study, design, and programming; at least ten (10) years of said experience shall have ...

Data Architect

Sacramento, CA · On-site

$68 - $87.50/hr

Qualifications 1. Must have a minimum of fifteen (15) years of experience in electronic data processing systems study, design, and programming; at least ten (10) years of said experience shall have ...

... electronic data capture (EDC) systems. Big-picture and detail-oriented view of data management processes, tools and procedures. Product Knowledge/Therapeutic Expertise Seek out adequate training on ...

Data Engineer

Davis, CA · On-site

$85K - $150K/yr

If you are passionate about RF electronics, precision assembly, manufacturing data and informatics ... Design and deploy data inputs, structure and implement databases, and apply data processing and ...

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Electronic Data Processing information

See California salary details

$12

$20

$34

How much do electronic data processing jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for electronic data processing in California is $20.00, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $22.07 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals in Electronic Data Processing and how can they be addressed?

Professionals in Electronic Data Processing often encounter challenges such as managing large volumes of data accurately, ensuring data security, and adapting to rapidly evolving technology. Effective strategies include staying updated with the latest software tools, adhering to strict data validation procedures, and regularly participating in training on cybersecurity practices. Collaborating closely with IT and data management teams can also help in resolving technical issues quickly and maintaining data integrity.

What are the key skills and qualifications needed to thrive as an Electronic Data Processing (EDP) professional, and why are they important?

To thrive as an Electronic Data Processing professional, you need strong analytical skills, attention to detail, and a solid understanding of database management and computer systems, typically supported by a degree in information technology, computer science, or a related field. Familiarity with data processing software, programming languages (such as SQL), and enterprise resource planning (ERP) systems is essential. Excellent problem-solving abilities, adaptability, and clear communication are valuable soft skills in this role. These competencies are crucial for ensuring data integrity, efficient information flow, and reliable support of business operations.

What is Electronic Data Processing?

Electronic Data Processing (EDP) refers to the automated method of processing data using computers or electronic devices. It involves collecting, manipulating, storing, and retrieving data quickly and accurately, often for business, government, or scientific applications. EDP is used for tasks such as payroll, inventory management, data analysis, and record keeping, replacing manual processes to increase efficiency and reduce errors. Professionals in this field manage hardware, software, and data flow to ensure reliable and secure information processing.

What is the difference between Electronic Data Processing vs Data Entry Clerk?

AspectElectronic Data ProcessingData Entry Clerk
Primary RoleDesigning, managing, and processing electronic data systemsInputting data into computer systems manually
Skills & CertificationsKnowledge of database management, programming, and software toolsTyping speed, accuracy, basic computer skills
Work EnvironmentOffice settings, data centers, IT departmentsOffice environments, administrative settings
Industry UsageIT, finance, healthcare, governmentAdministrative, clerical, retail

Electronic Data Processing involves managing and processing data electronically, often requiring technical skills and system knowledge. Data Entry Clerks focus on manually inputting data with an emphasis on speed and accuracy. While both roles handle data, Electronic Data Processing is more technical and system-oriented, whereas Data Entry Clerks perform routine data input tasks.

What job categories do people searching Electronic Data Processing jobs in California look for? The top searched job categories for Electronic Data Processing jobs in California are:
Infographic showing various Electronic Data Processing job openings in California as of June 2026, with employment types broken down into 2% As Needed, 83% Full Time, 11% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $41,601 per year, or $20 per hour.
Data Architect

$68 - $87.50/hr

Contractor

Posted 26 days ago


Job description

The consultant will work with the Application Engineering and Architecture teams and undertake duties and responsibilities as an Application Data Architect on critical system change efforts and provide ongoing support for the delivery of robust and reliable solutions. The consultant will design and implement scalable database migrations strategy within the organization to solve complex business solutions.
The consultant will serve as a subject matter expert in data management; research, analyze, recommend, and select technical approaches for solving exciting, complex development and integration problems. The consultant will help monitor database efficiency, ensure high availability, and maintains database performance by troubleshooting problems, fine tune the database environments. The consultant will also assist to implement and maintain cloud database environments, troubleshoot, and resolve database performance issues.
The scope of this project encompasses the following deliverable base tasks:
Deliverable 1: Analysis, Design, Implementation, Testing, Support and Knowledge Transfer
• Determine impact of database migration to existing applications.
• Propose one or more design options as appropriate to each situation, including a level- of-effort estimate and target delivery date.
• Document the design option selected by CalPERS.
• Develop approved database changes within the existing technical environments, using the approved promotion path and QA/testing methodology.
• Performing internal unit/QA testing and facilitate user acceptance testing.
• Support best practices in use of database efficiency and performance.
• Update and enhance system documentation to keep it synchronized with system and environment changes.
• Contractor will provide knowledge transfer of reporting efforts, escalated system issues, and database changes and enhancements.
• Knowledge transfer to occur via collaborative documentation, code commenting, cross training, and job shadowing.
• Knowledge transfer to take place at CalPERS via regular scheduled meetings and review of documentation.
• Documentation to include best practices and lessons learned during the project.
Qualifications
1. Must have a minimum of fifteen (15) years of experience in electronic data processing systems study, design, and programming; at least ten (10) years of said experience shall have included responsibility on a project basis for analyzing operational methods and developing computer programs to meet desiredresults.
2. Must have minimum of fifteen (15) years of experience working as an application architect, in providing solutions that aligns with enterprise architecture and aligns with business process in use.
3. Must have a minimum of twelve (12) years of experience working with public pension systems or experience with Governmental Retirement Benefits and processes like CalPERS.
4. Must have a minimum of fifteen (15) years of experience with Oracle 11g, Oracle 19c, PL/SQL, SQL
5. Must have minimum of fifteen (15) years providing technical expertise and hands-on support in consolidation and migration of databases to new platforms.
6. Must have a minimum of five (5) years of experience with Version
Control using Git and web-based repositories (GitHub, GitLab, B itbucket, etc.) and ticketing and collaboration tools like JIRA and
Confluence.
7. Must have a minimum of fifteen (15) years of experience with monitor database efficiency, ensure high availability, and maintain database performance by troubleshooting problems, fine tune the database environments.
8. Experience implement and maintain cloud database environments (AWS and/or Azure), troubleshoot, and resolve database performance issues.