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

Druid

Napa, CA ยท On-site

Design, develop, deliver and operate scalable, high-performance, real-time data processing software. * Work proactively on the system architecture. * Participate in the evaluation and selection of ...

Druid

Napa, CA ยท On-site

Design, develop, deliver and operate scalable, high-performance, real-time data processing software. * Work proactively on the system architecture. * Participate in the evaluation and selection of ...

Sensing HW - Algorithm Systems Engineer

Bodega Bay, CA ยท On-site

$171.60K - $302.20K/yr

... data processing pipelines Experience with training/validation for statistical inference or ML/DL algs Experience with algorithm optimization for HW constraints (e.g. compute, memory, power ...

Sensing HW - Algorithm Systems Engineer

Bodega Bay, CA ยท On-site

$171.60K - $302.20K/yr

... data processing pipelines Experience with training/validation for statistical inference or ML/DL algs Experience with algorithm optimization for HW constraints (e.g. compute, memory, power ...

Sensing HW - Algorithm Systems Engineer

Bodega Bay, CA ยท On-site

$120.30K - $210.10K/yr

... data processing pipelines Experience with training/validation for statistical inference or ML/DL algs Experience with algorithm optimization for HW constraints (e.g. compute, memory, power ...

Sensing HW - Algorithm Systems Engineer

Bodega Bay, CA ยท On-site

$120.30K - $210.10K/yr

... data processing pipelines Experience with training/validation for statistical inference or ML/DL algs Experience with algorithm optimization for HW constraints (e.g. compute, memory, power ...

... processes. Data Collection Analysis: o Gather, validate, and analyze risk data from multiple internal systems to assess emerging and ongoing risk trends. o Convert data into useful insights used to ...

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

Thermal Engineer

Bodega Bay, CA ยท On-site

$147.40K - $272.10K/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 ...

Data Engineer (Founding Team)

Bodega Bay, CA ยท On-site

$135.90K - $163.20K/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)

While you can explore the application process and features here, please note that applications ... If you would like more information about how your data is processed, please contact us. apply for ...

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Data Processing information

See Santa Rosa, CA salary details

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How much do data processing jobs pay per hour?

As of May 28, 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 a Data Processing job?

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 key skills and qualifications needed to thrive in the Data Processing position, 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 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 job makes $10,000 a month without a degree?

In data processing, high-paying roles such as data analysts or data engineers can earn around $10,000 per month, especially with specialized skills in programming, database management, and data analysis tools. These positions often require experience and proficiency in software like SQL, Python, or cloud platforms, but may not always require a formal degree if skills are demonstrated through certifications or a strong portfolio.
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:
Infographic showing various Data Processing job openings in Santa Rosa, CA as of May 2026, with employment types broken down into 4% Internship, 53% Full Time, 39% Part Time, and 4% Contract. Highlights an 89% In-person, 4% Hybrid, and 7% Remote job distribution, with an average salary of $46,087 per year, or $22.2 per hour.

Data Product Owner - Insurance Operations

Balavant Employee Services Inc

Novato, CA โ€ข On-site

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Description:

We are seeking a versatile Data Product Owner with insurance industry expertise to join our team during a transformative period. This role bridges tactical day-to-day analytics with strategic data platform development, requiring someone who can excel in both immediate operational needs and long-term platform building.


The ideal candidate thrives in dynamic environments, combining technical proficiency with business acumen to translate insurance operations into actionable data insights. You'll work across our current technology stack (Excel, Microsoft Fabric, Power BI) while helping architect our data foundation for future scalability.

Requirements:

Cultural & Collaborative Fit

  • Demonstrate strong interpersonal skills and ability to integrate seamlessly with cross-functional teams
  • Work effectively both independently with minimal supervision and collaboratively as a team contributor
  • Exhibit a hands-on, roll-up-your-sleeves mentalityโ€”no task is beneath this role
  • Balance pragmatic execution of current-state needs with forward-thinking contributions to strategic initiatives


Key Responsibilities


Insurance Domain Expertise

  • Leverage deep knowledge of insurance operations, products, and workflows to understand complex business requirements
  • Partner closely with business stakeholders to translate insurance-specific needs into data requirements
  • Understand insurance industry metrics, regulatory reporting, and operational KPIs

Data Analysis & Reporting

  • Develop and maintain reports, dashboards, and analytical models using Power BI and Excel
  • Perform ad-hoc analysis to support business decisions across underwriting, finance, and operations
  • Manually assemble and reconcile data from disparate sources when automated solutions aren't yet in place
  • Execute comprehensive data reconciliations to ensure accuracy and integrity across systems

Technical Capabilities

  • Work within our current technology stack: Excel, Microsoft Fabric, and Power BI
  • Understand data flows from source systems through our data environments
  • Investigate how data is captured, transformed, and utilized across operational systems
  • Identify and implement process improvements in data collection, validation, and distribution

Documentation & Requirements Management

  • Create clear, comprehensive documentation of data requirements, business rules, and technical specifications
  • Develop and maintain data dictionaries, process flows, and system documentation
  • Document data lineage and transformation logic for transparency and auditability

Strategic Data Foundation Building

  • Participate actively in designing and implementing our future-state data architecture
  • Contribute to data governance frameworks, standards, and best practices
  • Evaluate data quality and quantity requirements for downstream consumption (Finance, Management Reporting, KPIs)
  • Support system implementations from a data perspective, ensuring proper capture and integration of critical data elements

Continuous Improvement

  • Proactively identify opportunities to enhance data processes, automation, and efficiency
  • Recommend improvements to data collection methods that align with strategic organizational goals
  • Challenge existing approaches with innovative solutions while respecting operational constraints

Qualifications

Required:

  • Insurance industry experience with demonstrated understanding of insurance operations, products, and data
  • Proficiency in Excel (advanced functions, pivot tables, data manipulation)
  • Strong analytical and problem-solving capabilities
  • Excellent written and verbal communication skills
  • Ability to work in ambiguous environments and adapt to changing priorities

Preferred:

  • Experience with Microsoft Fabric and Power BI (or comparable modern data platforms and BI tools)
  • Knowledge of data warehousing concepts and ETL/ELT processes
  • Familiarity with SQL and data modeling principles
  • Understanding of data governance and quality management practices
  • Experience participating in enterprise system implementations

Mindset:

  • Willingness to learn new technologies and adapt to our specific stack
  • Comfort with "building the plane while flying it" - supporting current operations while constructing future capabilities
  • Growth-oriented perspective with commitment to professional development

What Makes This Role Unique

This position offers the rare opportunity to shape data strategy while delivering immediate business value. You won't be siloed in purely strategic work or buried exclusively in operational reportingโ€”you'll do both, gaining comprehensive exposure to how data drives insurance operations from ground level to executive decision-making.