1

Data Processing Manager Jobs in California (NOW HIRING)

Payment Processing Manager and Vice President of Programs & Services GENERAL SUMMARY: Under the ... Complete all data entry as necessary for provider reimbursement download process. * Assist the ...

Data Engineer

San Francisco, CA · On-site

$111K - $196K/yr

Around 4+ years of experience in data engineering, software engineering, or database management . * Proficiency in SQL, Python, or Scala for data processing and automation. * Hands-on experience with ...

Payment Processing Clerk

Montebello, CA · On-site

$19.99 - $20.61/hr

Payment Processing Manager GENERAL SUMMARY: Under the direction of the Payment Processing Manager ... data on vouchers against the attendance sheets and/or PPR logs. MAOF has a first come first serve ...

Data Engineer

Bay Point, CA · On-site

$125.90K - $151.10K/yr

You will work with cross-functional teams to enable scalable data processing using the Databricks ... manage data workflows with Databricks Jobs, Notebooks, and Workflows • Optimize Spark jobs for ...

next page

Showing results 1-20

Data Processing Manager information

See California salary details

$34K

$51.8K

$67.6K

How much do data processing manager jobs pay per year?

As of May 31, 2026, the average yearly pay for data processing manager in California is $51,812.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,900.00 and $61,700.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Processing Manager, you need expertise in data management, analysis, and process optimization, typically supported by a degree in computer science, information systems, or a related field. Familiarity with database management systems (DBMS), ETL tools, and data governance frameworks, along with certifications like Certified Data Management Professional (CDMP), is often required. Strong leadership, problem-solving, and communication skills help you effectively lead teams and collaborate across departments. These skills are crucial for ensuring data integrity, efficient workflows, and informed decision-making within an organization.

What are the typical challenges faced by a Data Processing Manager when overseeing large-scale data projects?

Data Processing Managers often encounter challenges such as ensuring data quality and consistency across multiple sources, managing tight project deadlines, and coordinating with cross-functional teams like IT, analytics, and compliance. They must stay updated on evolving data processing technologies while maintaining security and privacy standards. Effective communication and adaptability are essential, as priorities may shift quickly based on organizational needs or data integrity issues.

What does a Data Processing Manager do?

A Data Processing Manager oversees the collection, organization, and processing of data within an organization. They are responsible for managing teams that handle data entry, quality control, and the maintenance of databases. Their role includes ensuring data integrity, optimizing processing workflows, and implementing data security protocols. They may also collaborate with IT departments to select appropriate software and hardware for data management. Ultimately, their goal is to ensure accurate and efficient handling of large volumes of data to support business operations.
What are the most commonly searched types of Data Processing jobs in California? The most popular types of Data Processing jobs in California are:
What cities in California are hiring for Data Processing Manager jobs? Cities in California with the most Data Processing Manager job openings:
Infographic showing various Data Processing Manager job openings in California as of May 2026, with employment types broken down into 1% As Needed, 92% Full Time, 5% Part Time, and 2% Contract. Highlights an 90% Physical, and 10% Remote job distribution, with an average salary of $51,812 per year, or $24.9 per hour.
Senior / Staff Product Manager - Ray Data

Senior / Staff Product Manager - Ray Data

Anyscale, Inc

San Francisco, CA • On-site

$219.25K - $250K/yr

Full-time

Posted 23 days ago


Job description

About the Role
Anyscale is seeking a Senior / Staff Product Manager to lead Ray Data, our scalable data processing library for ML and AI workloads.
This is a uniquely challenging role that requires balancing open source growth with commercial differentiation - driving rapid adoption in the open source Ray Data ecosystem while building compelling proprietary features for Anyscale RunTime, our high-performance commercial engine.
You'll own the entire Ray Data product roadmap in a competitive landscape, working closely with the engineering team, the field team, enterprise customers, and the open source community. Success requires:
  • Deeply ingraining yourself into the end-user experience to understand the nature of the product and its gaps and tradeoffs
  • Working closely with customers and open source users to draw the subtle line between growth and commercialization
  • Strategic thinking about which parts of the ML/Data lifecycle to focus on, identifying opportunities where our architectural strengths create the most value.
  • Thinking deeply about and clearly articulating the product strategy to stakeholders
Key Responsibilities
  • Drive the Ray Data product roadmap - Balance open source Ray Data feature development with Anyscale Runtime commercial differentiation to ensure that both Ray Data becomes the open source standard for AI data processing and Anyscale Runtime remains sufficiently compelling.
  • Drive open source Ray Data adoption - Focus on community growth, developer experience, and ecosystem integrations
  • Market Positioning & Enablement - Work closely with Product Marketing on strategic market positioning, field enablement, and competitive analysis to maintain differentiation.
  • Customer engagement - Drive key customer engagements assisting sales and field engineering teams.
Required Qualifications
  • 4+ years of product management experience with technical products
  • Strong technical background in distributed systems, ML infrastructure, or data processing
  • Experience working with developer and enterprise audiences
  • Strategic thinking with ability to balance competing priorities and stakeholder needs
  • Located in or willing to relocate to the Bay Area
Preferred Qualifications
  • Prior experience with open source products and commercial monetization strategies
  • Background in ML tooling, data infrastructure, or developer tools
About Ray Data
Ray Data is a scalable data processing library built on Ray Core that provides flexible and performant APIs for distributed data processing. It enables offline batch inference and data preprocessing for ML training, scaling data processing to large clusters while maintaining ease of use for developers.