Key responsibilities include designing, developing, and executing scripts, programs, models, algorithms, and processes using structured and unstructured data from diverse sources and of varying sizes.
New
Key responsibilities include designing, developing, and executing scripts, programs, models, algorithms, and processes using structured and unstructured data from diverse sources and of varying sizes.
New
Key responsibilities include designing, developing, and executing scripts, programs, models, algorithms, and processes using structured and unstructured data from diverse sources and of varying sizes.
New
Key responsibilities include designing, developing, and executing scripts, programs, models, algorithms, and processes using structured and unstructured data from diverse sources and of varying sizes.
New
Key responsibilities include designing, developing, and executing scripts, programs, models, algorithms, and processes using structured and unstructured data from diverse sources and of varying sizes.
New
Key responsibilities include designing, developing, and executing scripts, programs, models, algorithms, and processes using structured and unstructured data from diverse sources and of varying sizes.
New
Key responsibilities include designing, developing, and executing scripts, programs, models, algorithms, and processes using structured and unstructured data from diverse sources and of varying sizes.
New
Key responsibilities include designing, developing, and executing scripts, programs, models, algorithms, and processes using structured and unstructured data from diverse sources and of varying sizes.
New
Key responsibilities include designing, developing, and executing scripts, programs, models, algorithms, and processes using structured and unstructured data from diverse sources and of varying sizes.
New
Key responsibilities include designing, developing, and executing scripts, programs, models, algorithms, and processes using structured and unstructured data from diverse sources and of varying sizes.
New
Key responsibilities include designing, developing, and executing scripts, programs, models, algorithms, and processes using structured and unstructured data from diverse sources and of varying sizes.
New
Key responsibilities include designing, developing, and executing scripts, programs, models, algorithms, and processes using structured and unstructured data from diverse sources and of varying sizes.
New
Key responsibilities include designing, developing, and executing scripts, programs, models, algorithms, and processes using structured and unstructured data from diverse sources and of varying sizes.
New
Key responsibilities include designing, developing, and executing scripts, programs, models, algorithms, and processes using structured and unstructured data from diverse sources and of varying sizes.
New
Key responsibilities include designing, developing, and executing scripts, programs, models, algorithms, and processes using structured and unstructured data from diverse sources and of varying sizes.
New
Key responsibilities include designing, developing, and executing scripts, programs, models, algorithms, and processes using structured and unstructured data from diverse sources and of varying sizes.
New
Key responsibilities include designing, developing, and executing scripts, programs, models, algorithms, and processes using structured and unstructured data from diverse sources and of varying sizes.
New
Key responsibilities include designing, developing, and executing scripts, programs, models, algorithms, and processes using structured and unstructured data from diverse sources and of varying sizes.
New
Key responsibilities include designing, developing, and executing scripts, programs, models, algorithms, and processes using structured and unstructured data from diverse sources and of varying sizes.
New
Key responsibilities include designing, developing, and executing scripts, programs, models, algorithms, and processes using structured and unstructured data from diverse sources and of varying sizes.
New
Key responsibilities include designing, developing, and executing scripts, programs, models, algorithms, and processes using structured and unstructured data from diverse sources and of varying sizes.
New
Key responsibilities include designing, developing, and executing scripts, programs, models, algorithms, and processes using structured and unstructured data from diverse sources and of varying sizes.
New
Key responsibilities include designing, developing, and executing scripts, programs, models, algorithms, and processes using structured and unstructured data from diverse sources and of varying sizes.
New
Key responsibilities include designing, developing, and executing scripts, programs, models, algorithms, and processes using structured and unstructured data from diverse sources and of varying sizes.
New
Cloud Data Architect
Elk Grove, CA · On-site
$68.25 - $87/hr
Design cloud-native data architectures optimized for both batch and stream processing. Build and maintain high-performance, scalable data pipelines using Apache Spark, Apache Flink, Scala, and SQL.
Cloud Data Architect
Elk Grove, CA · On-site
$68.25 - $87/hr
Design cloud-native data architectures optimized for both batch and stream processing. Build and maintain high-performance, scalable data pipelines using Apache Spark, Apache Flink, Scala, and SQL.
Data Scanning Associate - 61260
Modesto, CA · On-site
$16.90 - $18/hr
If you are the type of person who is self-motivated, enjoys working independently, data entry and checking products, then you are the person we are looking for! What does RDSolutions Offer You? * A ...
Data Scanning Associate - 61260
Modesto, CA · On-site
$16.90 - $18/hr
If you are the type of person who is self-motivated, enjoys working independently, data entry and checking products, then you are the person we are looking for! What does RDSolutions Offer You? * A ...
Process Technician
$30 - $50/hr
Execute test runs, collect data, and maintain accurate records of results. * Prepare charts, graphs, and reports to communicate findings to engineering teams. * Assist with identifying process issues ...
Process Technician
$30 - $50/hr
Execute test runs, collect data, and maintain accurate records of results. * Prepare charts, graphs, and reports to communicate findings to engineering teams. * Assist with identifying process issues ...
In person Interview for an Oracle Golden Gate DBA in Elk Grove, CA (locals preferred)
Elk Grove, CA · On-site
$53.25 - $72.50/hr
In electronic data processing systems study, design, and programming. Additional Information In person interview is acceptable for this position.
In person Interview for an Oracle Golden Gate DBA in Elk Grove, CA (locals preferred)
Elk Grove, CA · On-site
$53.25 - $72.50/hr
In electronic data processing systems study, design, and programming. Additional Information In person interview is acceptable for this position.
Oracle Certified DBA_Oracle 11g/higher_goden Gate_Govt. exp preferred
$53.25 - $72.50/hr
In electronic data processing systems study, design, and programming. Additional Information In person interview is acceptable.
Oracle Certified DBA_Oracle 11g/higher_goden Gate_Govt. exp preferred
$53.25 - $72.50/hr
In electronic data processing systems study, design, and programming. Additional Information In person interview is acceptable.
Plant Process Engineer
$63K - $93K/yr
Analyze trial data and deliver clear process recommendations.Support commercial scale-ups and troubleshooting in manufacturing plants.Prepare and present technical results to cross-functional ...
Plant Process Engineer
$63K - $93K/yr
Analyze trial data and deliver clear process recommendations.Support commercial scale-ups and troubleshooting in manufacturing plants.Prepare and present technical results to cross-functional ...
Minimum Data Set Nurse (MDS)
Stockton, CA · On-site
$110K - $116K/yr
Your role will ensure that the MDS process is carried out effectively, supporting the overall care ... Assisting in the completion of the Minimum Data Set (MDS) assessment for all residents.
Minimum Data Set Nurse (MDS)
Stockton, CA · On-site
$110K - $116K/yr
Your role will ensure that the MDS process is carried out effectively, supporting the overall care ... Assisting in the completion of the Minimum Data Set (MDS) assessment for all residents.
Senior Data Engineer in (LOCALS ONLY)
Elk Grove, CA · On-site
$111K - $151K/yr
Deep understanding of the ETL (extract, transform, load) process. Experience extracting data from multiple sources via APIs and scripting. Experience architecting enterprise data solutions such as ...
Quick apply
Senior Data Engineer in (LOCALS ONLY)
Elk Grove, CA · On-site
$111K - $151K/yr
Deep understanding of the ETL (extract, transform, load) process. Experience extracting data from multiple sources via APIs and scripting. Experience architecting enterprise data solutions such as ...
Data Processor information
See Stockton, CA salary details
$12.91 - $15.08
8% of jobs
$17.03 is the 25th percentile. Wages below this are outliers.
$15.08 - $17.24
19% of jobs
$17.24 - $19.40
17% of jobs
The median wage is $20.07 / hr.
$19.40 - $21.57
19% of jobs
$23.12 is the 75th percentile. Wages above this are outliers.
$21.57 - $23.73
16% of jobs
$23.73 - $25.90
13% of jobs
$25.90 - $28.06
4% of jobs
$28.06 - $30.22
2% of jobs
$30.22 - $32.39
0% of jobs
$32.39 - $34.55
0% of jobs
$34.55 - $36.71
1% of jobs
$12
$21
$36
How much do data processor jobs pay per hour?
As of Jun 17, 2026, the average hourly pay for data processor in Stockton, CA is $21.35, according to ZipRecruiter salary data. Most workers in this role earn between $16.97 and $23.56 per hour, depending on experience, location, and employer.
How can I make 2000 a week working from home?
A data processor can potentially earn $2,000 a week by handling high-volume data entry tasks, especially if working as a freelancer or through multiple clients. Increasing income may involve developing specialized skills, using efficient data processing tools, and working full-time hours or taking on multiple projects simultaneously.
What is the difference between Data Processor vs Data Entry Clerk?
| Aspect | Data Processor | Data Entry Clerk |
|---|---|---|
| Required Credentials | High school diploma; some roles may require basic certifications | High school diploma; no specialized certifications typically needed |
| Work Environment | Office settings, data centers, or remote work | Office environments, often in administrative settings |
| Employer & Industry Usage | Businesses, government agencies, financial institutions | Corporations, healthcare, retail, administrative offices |
| Common Search & Comparison | Often compared for data handling and processing tasks | Compared 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 is a data processor job?
A data processor is responsible for collecting, organizing, and maintaining data within computer systems or databases. The role often involves data entry, validation, and ensuring data accuracy, typically requiring attention to detail and proficiency with data management tools. Data processors may work in various industries, supporting data analysis and reporting tasks.
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.
What job makes $10,000 a month without a degree?
A data processor typically does not earn $10,000 a month without specialized skills or experience. High-paying roles that can reach this level often involve sales, real estate, or entrepreneurship, which may not require a degree but do demand significant effort, expertise, or certifications. Most jobs with such income levels are highly competitive and often require relevant skills or industry knowledge rather than formal education alone.
What do you do as a data processor?
A data processor collects, organizes, and manages data to ensure accuracy and accessibility. They often use software tools like spreadsheets or databases and may perform tasks such as data entry, validation, and updating to support business operations.
More about Data Processor jobs
What are popular job titles related to Data Processor jobs in Stockton, CA? For Data Processor jobs in Stockton, CA, the most frequently searched job titles are:
What job categories do people searching Data Processor jobs in Stockton, CA look for? The top searched job categories for Data Processor jobs in Stockton, CA are:
What cities near Stockton, CA are hiring for Data Processor jobs? Cities near Stockton, CA with the most Data Processor job openings:
Full-time
This job post has expired today. Applications are no longer accepted.
Job description
Requisition IDÂ # 167320Â
Job Category: Accounting / FinanceÂ
Job Level: Individual Contributor
Business Unit: Electric Engineering
Work Type: Hybrid
Job Location: Oakland; Alameda; Alta; American Canyon; Angels Camp; Antioch; Auberry; Auburn; Avenal; Avila Beach; Bakersfield; Balch Camp; Bay Point; Bear Valley; Belden; Bellota; Belmont; Benicia; Berkeley; Brentwood; Brisbane; Buellton; Burney; Buttonwillow; Calistoga; Campbell; Canyon Dam; Canyondam; Capitola; Caruthers; Chico; Clearlake; Clovis; Coalinga; Colusa; Concord; Concord; Corcoran; Cottonwood; Cupertino; Daly City; Danville; Davis; Dinuba; Downieville; Dublin; Emeryville; Eureka; Fairfield; Folsom; Fort Bragg; Fortuna; Fremont; French Camp; Fresno; Fresno; Fulton; Garberville; Geyserville; Gilroy; Goodyear; Grass Valley; Guerneville; Half Moon Bay; Hayward; Hinkley; Hollister; Holt; Houston; Huron; Jackson; Kerman; King City; Lakeport; Lemoore; Lincoln; Linden; Livermore; Lodi; Loomis; Los Banos; Lower Lake; Madera; Magalia; Manteca; Manton; Mariposa; Martell; Marysville; Maxwell; Menlo Park; Merced; Meridian; Millbrae; Milpitas; Modesto; Monterey; Montgomery Creek; Morgan Hill; Morro Bay; Moss Landing; Mountain View; Napa; Needles; Newark; Newman; Novato; Oakdale; Oakhurst; Oakley; Olema; Orinda; Orland; Oroville; Palo Alto; Palo Cedro; Paradise; Parkwood; Paso Robles; Petaluma; Pioneer; Pismo Beach; Pittsburg; Placerville; Pleasant Hill; Point Arena; Potter Valley; Quincy; Rancho Cordova; Red Bluff; Redding; Richmond; Ridgecrest; Rio Vista; Rocklin; Roseville; Round Mountain; Sacramento; Salida; Salinas; San Bruno; San Carlos; San Francisco; San Francisco; San Jose; San Luis Obispo; San Mateo; San Rafael; San Ramon; San Ramon; Sanger; Santa Cruz; Santa Maria; Santa Nella; Santa Rosa; Selma; Shaver Lake; Sonoma; Sonora; South San Francisco; Springville; Stockton; Storrie; Taft; Tracy; Turlock; Twain; Ukiah; Vacaville; Vallejo; Walnut Creek; Wasco; Watsonville; West Sacramento; Wheatland; Whitmore; Willits; Willow Creek; Willows; Windsor; Winters; Woodland; Yuba City
Department Overview
The System Performance, Reliability and Resiliency Strategy team within the overall Electric Transmission and Distribution Engineering organization is responsible for planning, organizing, and managing the resources necessary to successfully execute PG&E’s Electric Reliability Strategy and initiatives. This team of forward–thinking individuals will be tasked with deploying technology and infrastructure and influencing the organization to achieve the company’s reliability goals. The team is responsible for implementing programs required to modernize the electric grid allowing for safe, resilient and efficient operations. The team participates in a cross functional team of internal and consulting participants being tasked with leading the transition of a project from development and testing to being operational for each phase of each project.
Position Summary
Within the System Performance, Reliability and Resiliency Strategy team, this position reports to the Senior Manager of Reliability Analytics and is responsible for developing advanced data science models and industry-leading anomaly detection techniques to identify potential failures and enhance the reliability of the electric transmission and distribution grid.Â
Key responsibilities include designing, developing, and executing scripts, programs, models, algorithms, and processes using structured and unstructured data from diverse sources and of varying sizes. The goal is to generate defensible, valid, scalable, reproducible, and well-documented machine learning and artificial intelligence models (predictive or optimization) to support problem-solving and strategic decision-making.
The role also involves active participation in internal and external communities of practice in data science, AI, and machine learning to stay current and contribute to advancements in the field. Additionally, the candidate will help educate non-technical stakeholders on the benefits, limitations, and maturity of data science solutions.
In this role, the successful candidate will be uniquely positioned at the forefront of utility industry analytics. Working as part of cross-functional teams, including data engineers, data scientists, technologists, and subject matter experts – this individual will lead the development of data science capabilities that could lead to paradigm changes in how the utility operates.
- This position is hybrid, working from your remote office and your assigned work location based on business need. The assigned work location will be within the PG&E Service Territory.
PG&E is providing the salary range that can reasonably be expected for this position at the time of the job posting. This salary range is specific to the locality of the job. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, internal equity, specific skills, education, licenses or certifications, experience, market value, and geographic location. The decision will be made on a case-by-case basis related to these factors. This job is also eligible to participate in PG&E’s discretionary incentive compensation programs. Â
Bay Area -Â $126,000 - 179,300
&/OR
California: $120,000 - 170,500
Job Responsibilities
- Lead research and development of state-of-the-art methodologies to detect potential system failures and improve the reliability of the electric transmission and distribution grid.
- Applies data science/ machine learning /artificial intelligence methods to develop scalable, defensible and reproducible models,Â
- Serves as the technical lead for the development of predictive/reliability analytics models.
- Develops python codes for data processing and data science model developments (e.g., ML/AI models, advanced statistical models)
- Documents datasets, modeling processes, and result to ensure transparency, reproducibility, and defensibility.Â
- Contribute to the development of data science strategies aligned with system performance, reliability, and resiliency team goals.
- Communicate technical concepts and model results to internal/external stakeholders.Â
Qualifications
Minimum:
- Bachelor’s Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field
- 4 years in data science OR 2 years, if possess Master’s Degree, as described above
Desired:
- Ph.D. or Master’s degree in Electrical Engineering, Mechanical Engineering, Operations Research, Transportation Engineering, Physics, Applied Sciences, Statistics, or a related field.Â
- Relevant industry (electric or gas utility, renewable energy, analytics consulting, etc.) experience
- Strong foundation in statistics, machine learning (ML), and artificial intelligence (AI).
- Hands-on and theoretical experience in developing and deploying data science and ML models using Python.
- Proven ability to formulate and solve unstructured, complex problems using data-driven approaches.
- Proficiency in working with large datasets, including structured and unstructured data from diverse sources.
- Excellent communication skills, with the ability to explain technical concepts to non-technical audiences.
- Ability to develop, coach and teach career level data scientists in data science/artificial intelligence/machine learning techniques and technologies