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Data Processing Jobs in Santa Rosa, CA (NOW HIRING)

PROPRIUS

Machine Learning / Data Scientist

Bodega Bay, CA · On-site

$110K - $140K/yr

The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. You must ...

Fabrion

Data Partnerships Analyst

Bodega Bay, CA · On-site

Data Partnerships Analyst Location: San Francisco Bay Area Type: Full-Time Compensation ... Comfortable navigating ambiguity and building processes from scratch. * High ownership: proactive ...

BIOMARIN PHARMACEUTICAL

Sr. Data Scientist 1

Novato, CA · On-site

Through data integration, analytics, and digital transformation initiatives, TOPS enhances process monitoring, deviation analysis, optimization, and strategic capacity planning, ensuring accurate and ...

IDEX

Data Analyst, Finance

Rohnert Park, CA · On-site +1

Focused on assisting partners at every stage of the development processes, we invest in people and ... Building data models and creating processes for monthly, quarterly, and annual financial reporting ...

Fabrion

Data Engineer (Founding Team)

Bodega Bay, CA · On-site

$135K - $163K/yr

Comfortable processing unstructured data formats: PDFs, Excel, emails, logs, CSVs, web APIs * Experience working with columnar stores, object storage, and lakehouse formats (Iceberg, Delta, Parquet)

Apple

Thermal Engineer

Bodega Bay, CA · On-site

$150K - $277K/yr

... for data processing and visualization experience with TIM selection; design of heatsinks, heatpipes, vapor chambers, air movers Design of experiments and measurement techniques for flow/thermal ...

Aquent

Data Analyst (212647)

Sonoma, CA · On-site

Data Analyst Client Location: Hybrid; Foster City CA (3 Days Onsite/Weekly) Pay Comments: W2 Minimum Pay (per hour): 60.41 Maximum Pay (per hour): 67.13 Hours: Full-time Duration: Approx. 6 Month ...

Aquent

Data Analyst (212647)

Santa Rosa, CA · On-site

Data Analyst Client Location: Hybrid; Foster City CA (3 Days Onsite/Weekly) Pay Comments: W2 Minimum Pay (per hour): 60.41 Maximum Pay (per hour): 67.13 Hours: Full-time Duration: Approx. 6 Month ...

2K

Staff Data Analyst

Novato, CA · On-site

Focus on using data and hypothesis-driven decision-making to drive future growth and customer ... interview process, to perform their essential job functions, and to receive other benefits and ...

2K

Staff Data Analyst

Novato, CA · On-site

Focus on using data and hypothesis-driven decision-making to drive future growth and customer ... interview process, to perform their essential job functions, and to receive other benefits and ...

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Showing results 21-40

All JobsData Processing JobsData Processing Jobs in Santa Rosa, CA

Data Processing information

See Santa Rosa, CA salary details

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How much do data processing jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for data processing in Santa Rosa, CA is $22.16, according to ZipRecruiter salary data. Most workers in this role earn between $17.60 and $24.42 per hour, depending on experience, location, and employer.

What is data processing?

A Data Processing job involves collecting, organizing, and managing data to ensure accuracy and accessibility. Professionals in this role use software tools to input, clean, analyze, and process data for businesses or organizations. They may also generate reports and automate workflows to streamline data handling. Strong attention to detail and proficiency in data management tools are essential for success in this field.

What are the typical daily responsibilities of someone working in data processing?

A typical day for a Data Processing professional involves entering, validating, and updating records in databases or spreadsheets to ensure data integrity. You may also be responsible for generating reports, cleaning large data sets, and identifying discrepancies or errors for correction. Collaboration with team members or departments is common to clarify data requirements and resolve issues. Staying organized and attentive to detail is essential because the quality of processed data can impact decision-making across the organization.

What are the key skills and qualifications needed to thrive in data processing, and why are they important?

To thrive in Data Processing, you need strong analytical abilities, attention to detail, and proficiency with spreadsheets and database management, often supported by an associate's degree or relevant experience. Familiarity with tools like Microsoft Excel, SQL, or data entry software, as well as certifications such as Certified Data Processor (CDP), are frequently expected. Strong organizational skills, time management, and the ability to troubleshoot problems efficiently are valued soft skills. These competencies are crucial for ensuring data accuracy, meeting deadlines, and supporting smooth information operations within an organization.

What do you do as a data processing?

A data processing professional collects, organizes, and analyzes data to ensure accuracy and usability. They use tools like spreadsheets, databases, and data management software to clean, transform, and prepare data for reporting or decision-making. Attention to detail and knowledge of data handling techniques are essential in this role.

What is a data processing job role?

A data processing job involves collecting, organizing, and converting raw data into a usable format for analysis or reporting. It often requires skills in data management tools, attention to detail, and knowledge of data formats and software such as Excel, SQL, or specialized processing programs.

What are the most commonly searched types of Data Processing jobs in Santa Rosa, CA?

The most popular types of Data Processing jobs in Santa Rosa, CA are:

What job categories do people searching Data Processing jobs in Santa Rosa, CA look for?

The top searched job categories for Data Processing jobs in Santa Rosa, CA are:

What cities near Santa Rosa, CA are hiring for Data Processing jobs?

Cities near Santa Rosa, CA with the most Data Processing job openings:

Data Processing jobs near you
Infographic showing various Data Processing job openings in Santa Rosa, CA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 14% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $46,087 per year, or $22.2 per hour.

Machine Learning / Data Scientist

Bodega Bay, CA • On-site

PROPRIUS
See more jobs at PROPRIUSexternal

$110K - $140K/yr

Full-time

Re-posted 28 days ago

Key responsibilities

  • Work with stakeholders to identify opportunities for leveraging data to drive business solutions

  • Mine and analyze data from databases to optimize product development, marketing, and business strategies

  • Develop and implement custom data models and algorithms to improve business outcomes

Job description

Machine Learning Engineer

Location: San Francisco, CA

Sponsorship: No

Relocation: No

Industry: Machine Learning

Our client is a digital invention agency focused on machine learning methodologies, enterprise mobile and web applications, eCommerce, augmented reality and IoT. They look to innovatively make this world a better place with each and every product, system, idea and app they release.

Job Summary

Our client is looking for a machine learning engineer to join our existing ML team in developing and refining a predictive application.

The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.

You must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. You must have a proven ability to drive business results with their data-based insights. You must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

As a ML Engineer, you will:

  • Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business solutions
  • Mine and analyze data from databases to drive optimization and improvement of product development, marketing techniques and business strategies
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques
  • Develop custom data models and algorithms to apply to data sets
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
  • Coordinate with different functional teams to implement models and monitor outcomes
  • Develop processes and tools to monitor and analyze model performance and data accuracy

For this role you will need:

  • Strong with Statistics and can code in either R, Python, Java and Scala
  • Experience with designing and building using micro-services architectural pattern, web APIs using dotnet core & C#
  • Experience and passion for simulations, optimization, neural networks, artificial intelligence (deep learning and machine learning)
  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, GIT, SQL, etc.
  • Able to understand statistical solutions and execute similar activities
  • Experience in data wrangling and advanced analytic modeling
  • Strong communication and organizational skills and has the ability to deal with ambiguity while juggling multiple priorities and projects at the same time
  • Experience visualizing/presenting data for stakeholders using: Seaborn, Business Objects, D3, ggplot, etc.
  • Ability to investigate the feasibility and data requirements necessary to develop an ML solution for a given problem
  • Ability to design, build and test production ready ML-based products while interpreting and explaining the basis for predictions generated by ML models

The perfect candidate will have:

  • Knowledge and experience using one or more of the following, or similar, machine learning software frameworks: CAFFE, Torch 7, Keras and Tensorflow
  • Experience building production-ready NLP or information retrieval systems
  • Hands-on experience with NLP tools, libraries and corpora (e.g. NLTK, Stanford CoreNLP, Wikipedia corpus, etc.)

PROPRIUS is an AI Industry recruiting firm. We’re lucky enough to recruit the best candidates into the most exciting companies all over the United States. We deliver performance.
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