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Data Processing Assistant Jobs in Riverside, CA (NOW HIRING)

City of Rialto, CA

Crime Analyst Assistant

Rialto, CA · On-site

$5.8K - $7.8K/mo

POLICE DATA PROCESSING Opening Date: 07/22/2026 Closing Date: Continuous Classification Definition ... Assist in analyzing patterns of criminal activity in the Rialto area; retrieve data; generate ...

Staffactory

Fiscal Assistant

Diamond Bar, CA · On-site

FISCAL ASSISTANT # SUBMISSION ALLOWED: 1 LOCATION: Diamond Bar, CA. DURATION: Approximately 6 ... Operates computers, typewriters, calculators, and a variety of automated data processing office ...

Data Ticket Inc.

Be Seen First

Accounting Clerk

Irvine, CA · On-site

$18 - $22/hr

Process NSF's * Process credit card charge backs Process transfer of funds * File invoice all ... Make available financial data for management team and clients upon request. * Assist with special ...

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All JobsData Processing JobsData Processing Assistant JobsData Processing Assistant Jobs in Riverside, CA

Data Processing Assistant information

See Riverside, CA salary details

$12

$21

$36

How much do data processing assistant jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for data processing assistant 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 are the key skills and qualifications needed to thrive as a data processing assistant?

To thrive as a Data Processing Assistant, you need strong data entry skills, attention to detail, and a high school diploma or equivalent. Familiarity with spreadsheet software like Microsoft Excel, database management systems, and sometimes basic knowledge of data processing software is typically required. Excellent organizational abilities, time management, and the capacity to maintain confidentiality set top performers apart. These skills ensure accurate, efficient handling of sensitive information, directly supporting effective business operations.

What are some common challenges faced by data processing assistants, and how can they be addressed?

Data Processing Assistants often encounter challenges such as managing large volumes of data with tight deadlines and ensuring the accuracy of information being entered or processed. To address these issues, it's important to develop strong organizational habits, regularly double-check work for errors, and leverage available software tools to automate repetitive tasks. Collaborating closely with data analysts, supervisors, and IT team members can also help resolve discrepancies quickly and maintain data integrity.

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

AspectData Processing AssistantData Entry Clerk
Required CredentialsHigh school diploma; some roles may prefer certifications in data managementHigh school diploma; basic computer skills
Work EnvironmentOffice settings, data centers, or remoteOffice environments, primarily in administrative settings
Employer & Industry UsageBusinesses, government agencies, healthcare, financeAdministrative offices, retail, healthcare, government
Common Search & ComparisonOften compared for data handling tasks, technical skillsCompared for basic data input, administrative support

The main difference is that Data Processing Assistants handle more complex data management tasks, often involving data validation and processing, while Data Entry Clerks focus primarily on inputting data accurately. Both roles are essential in data-related workflows but differ in scope and technical requirements.

What does a data processing assistant do?

A data processing assistant is responsible for collecting, organizing, and verifying data to ensure accuracy and completeness. They often use software tools like spreadsheets or database systems and may perform tasks such as data entry, cleaning, and formatting to support data analysis and reporting.

What are popular job titles related to Data Processing Assistant jobs in Riverside, CA?

For Data Processing Assistant jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Data Processing Assistant jobs in Riverside, CA look for?

The top searched job categories for Data Processing Assistant jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Data Processing Assistant jobs?

Cities near Riverside, CA with the most Data Processing Assistant job openings:

Data Processing Assistant jobs near you
Infographic showing various Data Processing Assistant job openings in Riverside, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $43,977 per year, or $21.1 per hour.

Data Engineering Winter/Spring Co-Op (Jan-June '27)

Skyworks

Irvine, CA • On-site

$122K - $147K/yr

Full-time

Posted 8 days ago

Job description

Data Engineering Winter/Spring Co-Op (Jan-June '27)
Posting Start Date: 8/25/26
Job Location(s): Irvine
If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.
At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.
Requisition ID: 78259
Job Description:
Description
We are looking for a motivated Student Engineer to join our Enterprise Systems and Data Engineering team. You will work with experienced engineers to build, enhance, test, and support modern data solutions using Databricks and Microsoft Azure. The internship offers practical exposure to enterprise-scale data pipelines, data quality, cloud storage, governance, and production engineering practices.
This Co-op internship period is from January to June 2027.
Responsibilities
What you will work on -
  • Develop and maintain data ingestion and transformation pipelines using Python, SQL, PySpark, and Databricks notebooks.
  • Use Databricks Workflows and jobs to orchestrate, schedule, monitor, and troubleshoot data processing activities.
  • Build and test ETL/ELT solutions for structured and semi-structured data from enterprise systems, databases, files, and APIs.
  • Work with Delta Lake and lakehouse concepts, including Bronze, Silver, and Gold data layers.
  • Apply data profiling, validation, reconciliation, and quality checks to improve data reliability.
  • Assist with onboarding new datasets into Azure Data Lake Storage and Databricks.
  • Support pipeline monitoring, root-cause analysis, defect resolution, and documentation.
  • Use Git and CI/CD practices for version control, peer review, testing, and controlled deployments.
  • Collaborate with data engineers, analysts, platform teams, and business stakeholders to understand requirements and deliver usable data products.

Databricks Learning Focus
  • Hands-on exposure may include: Databricks workspace and notebooks, Apache Spark and PySpark, Delta Lake, Databricks Workflows, SQL Warehouses, Unity Catalog fundamentals, data quality controls, performance basics, and lakehouse architecture.

What You Will Learn
  • Databricks & Spark - Develop notebooks and scalable transformations with SQL, Python, and PySpark.
  • Pipeline Engineering - Understand ingestion, orchestration, testing, monitoring, and operational support.
  • Cloud Data Platforms - Work with Azure-based storage, integration, and data processing patterns.
  • Data Quality & Governance - Apply validation, documentation, access control, lineage, and reliability practices.
  • Engineering Delivery - Gain experience with Git, code reviews, CI/CD, Agile delivery, and stakeholder collaboration.

Required Qualifications
  • Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Electronics Engineering, or a related technical discipline.
  • Ability to work on-site for 6 month period (January to June)
  • Basic programming proficiency in Python and the ability to write clear, testable code.
  • Working knowledge of SQL, relational databases, joins, aggregations, and data manipulation.
  • Understanding of data structures, algorithms, and software engineering fundamentals.
  • Strong analytical and problem-solving skills with attention to detail.
  • Clear written and verbal communication skills, with the ability to collaborate in a team environment.
  • Curiosity, accountability, and willingness to learn new technologies.

Preferred Qualifications
  • Academic, internship, or personal project experience with Databricks, Apache Spark, or PySpark.
  • Exposure to Microsoft Azure, Azure Data Factory, Azure Data Lake Storage, or Azure SQL.
  • Understanding of ETL/ELT, data warehousing, lakehouse, or medallion architecture concepts.
  • Familiarity with Git, Azure DevOps, CI/CD, Linux, REST APIs, or Power BI.
  • Awareness of data governance, security, access control, or data quality principles.
  • Databricks or Microsoft Azure learning credentials are an advantage but not required.

Ideal Candidate Profile
  • Takes ownership of assigned work and communicates progress or blockers early.
  • Approaches problems methodically and validates results before considering work complete.
  • Can learn independently while seeking guidance at the right time.
  • Values clean code, documentation, data security, and reliable delivery.
  • Is interested in building a long-term career in data engineering and cloud data platforms.

The typical pay range for an Engineering intern across the U.S. is currently USD $26.00 - $47.50 per hour and for a Non-Engineering intern across the U.S. is currently USD $22.50 - $42.00 per hour. Starting pay will depend on level of education, the ultimate job duties and requirements, and work location. Skyworks has different pay ranges for different work locations in the U.S.
Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at accommodations@skyworksinc.com.
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About Skyworks

Sourced by ZipRecruiter

We are empowering the wireless networking revolution, connecting people, places and things around the world. As the demand for ubiquitous, “always-on” connectivity increasingly expands, our innovative, high performance analog semiconductors are enabling breakthrough communication platforms from global industry leaders – changing the way we live, work, play and learn. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.

Industry

Construction

Company size

201 - 500 Employees

Headquarters location

Buffalo, NY, US

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