ZipRecruiter

Log In

1

Data Processor Jobs in Riverside, CA (NOW HIRING)

Ventura Foods

Director Master Data Management

Irvine, CA · On-site +1

$143K - $228K/yr

Process & Operations: * Design and operate the centralized MDM COE for creation, maintenance, and control of master data across Oracle Fusion and integrated systems. * Implement workflow-based ...

Ventura Foods

Director Master Data Management

Irvine, CA · On-site +1

$143K - $228K/yr

Process & Operations: * Design and operate the centralized MDM COE for creation, maintenance, and control of master data across Oracle Fusion and integrated systems. * Implement workflow-based ...

SAMYANG AMERICA INC

Sr. Data Engineer Specialist

Brea, CA · On-site

$80K - $95K/yr

Develop processes to clean, standardize, and transform raw data into analysis-ready datasets. * Implement data validation and quality checks to ensure accuracy and consistency. * Optimize data ...

Ventura Foods

Director Master Data Management

Irvine, CA · On-site

$143K - $228K/yr

Process & Operations: * Design and operate the centralized MDM COE for creation, maintenance, and control of master data across Oracle Fusion and integrated systems. * Implement workflow-based ...

Lereta

Senior Payment & Correspondence Processor

Pomona, CA · On-site

$16.96 - $22.90/hr

The Senior Payment & Correspondence Processor supports the main functions of the Tax Service Team and has a wide-range of responsibilities in some or more of the following areas: Outgoing manual bill ...

Kingston Brass

E-commerce Data Admin Clerk

Ontario, CA · On-site

$18 - $21/hr

Primary Job Duties - Processing and administration of online orders - Retrieving and processing ... data processing of quick-ship and expedited customer purchase orders. - Work with shipping ...

Diverse Lynx

Lead Python Data Engineer

Irvine, CA · On-site

Responsibilities : • Very strong hands-on experience in in Python data engineering processing, Data processing development project. • Must have experience in AWS cloud services • Working ...

Joe's shop not bait

Payroll Processor

Orange, CA · On-site

* Maintains payroll information by collecting, calculating, and entering data. * Updates payroll records by entering changes in exemptions, insurance coverage, savings deductions, and job title and ...

Pwc

Data Engineer - Senior Manager

Irvine, CA · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Cotality

Specialist, Data Acquisition

Irvine, CA

Processes and provides feedback/results on data requests from other departments. Captures and maintains comprehensive documentation of metadata on existing and procured data, including but not ...

next page

Showing results 1-20

All JobsData Processor JobsData Processor Jobs in Riverside, CA

Data Processor information

See Riverside, CA salary details

$12

$21

$36

How much do data processor jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for data processor in Riverside, CA is $21.14, according to ZipRecruiter salary data. Most workers in this role earn between $16.78 and $23.32 per hour, depending on experience, location, and employer.

What is the difference between Data Processor vs Data Entry Clerk?

AspectData ProcessorData Entry Clerk
Required CredentialsHigh school diploma; some roles may require basic certificationsHigh school diploma; no specialized certifications typically needed
Work EnvironmentOffice settings, data centers, or remote workOffice environments, often in administrative settings
Employer & Industry UsageBusinesses, government agencies, financial institutionsCorporations, healthcare, retail, administrative offices
Common Search & ComparisonOften compared for data handling and processing tasksCompared for data input and administrative support roles

While both roles involve handling data, Data Processors typically perform more complex data management and validation tasks, often requiring some technical skills. Data Entry Clerks focus on inputting data accurately and efficiently. Understanding these differences helps in choosing the right role based on skills and career goals.

What are some common challenges faced by Data Processors and how can they be addressed?

Data Processors often encounter challenges such as managing large volumes of data accurately and efficiently, dealing with inconsistent or incomplete data, and ensuring data privacy and compliance. To address these, it's important to develop strong attention to detail, become proficient with data processing software, and stay updated on relevant data protection regulations. Collaborating closely with data analysts and IT teams can also help resolve data issues and improve workflow efficiency.

What Is a Data Processor?

A data processor transfers, organizes, and processes personal data for a company. It is typically an entry-level job that serves as a starting point for a career as a data controller. As a data processor, your duties involve processing incoming documents, transferring analog documents into digital data, verifying the information in all documents, updating document formats, and creating detailed reports on company data use and management. Qualifications for this career include excellent computer skills and a bachelor’s degree in computer science or data management.

What are the key skills and qualifications needed to thrive as a Data Processor, and why are they important?

To thrive as a Data Processor, you need strong attention to detail, accuracy in data entry, and a high school diploma or equivalent. Familiarity with spreadsheet software (such as Microsoft Excel), database management systems, and sometimes data processing software is typically required. Excellent organizational skills, the ability to follow procedures, and effective time management make someone stand out in this role. These skills ensure data integrity, minimize errors, and support efficient information management within an organization.

What are Data Processors?

Data Processors are professionals or organizations responsible for handling data on behalf of another organization, typically following specific instructions regarding how the data should be processed. Their main duties involve collecting, organizing, inputting, and maintaining data to ensure accuracy and compliance with data protection regulations. Data Processors play a crucial role in industries that require large-scale data management, such as healthcare, finance, and marketing. They must adhere to legal and contractual obligations, particularly regarding the privacy and security of the data they handle.
More about Data Processor jobs
What are popular job titles related to Data Processor jobs in Riverside, CA? For Data Processor jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Data Processor jobs in Riverside, CA look for? The top searched job categories for Data Processor jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Data Processor jobs? Cities near Riverside, CA with the most Data Processor job openings:
Data Processor jobs near you
Infographic showing various Data Processor job openings in Riverside, CA as of July 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 77% In-person, 8% Hybrid, and 15% Remote job distribution, with an average salary of $43,977 per year, or $21.1 per hour.
Sr Data Scientist (AI / ML & GenAI)

Sr Data Scientist (AI / ML & GenAI)

Expert Technology Services

Irvine, CA • On-site

Contractor

Posted 5 days ago

Job description

Job Summary (List Format):
- Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, Mathematics, Economics, or related quantitative field.
- Approximately 6 years of experience in Data Science, AI/ML, or Advanced Analytics.
- Proven track record leading complex, production-grade AI/ML systems at scale.
- Experience mentoring or leading data scientists (formally or informally).
- Expert proficiency in Python and PySpark.
- Strong hands-on experience with Spark, Hive, distributed data processing, and cloud platforms.
- In-depth knowledge of machine learning algorithms, ensemble methods, and advanced feature engineering.
- Practical experience with deep learning frameworks such as PyTorch and/or TensorFlow.
- Strong working knowledge of Large Language Models (LLMs) and Generative AI, including prompt engineering and evaluation.
- Extensive NLP/NLU experience, especially with healthcare or clinical data (e.g., NER, summarization, classification, entity extraction).
- Strong understanding of statistical modeling, experiment design, and model validation.
- Ability to drive projects from ambiguity to clarity and deliver results.
- Excellent executive communication and storytelling skills.
- Ability to balance technical depth with strategic leadership.
- Demonstrated ownership mindset, accountability, and proactive approach.
- (Strongly Preferred) Deep understanding of Medicare Risk Adjustment and CMS programs.
- Hands-on experience with CMS datasets (MMR, MOR, EDPS, Encounter data).
- Experience working with clinical, coding, or claims data in healthcare settings.