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Data Processing Manager Jobs in California (NOW HIRING)

Solomon Page

Manager Data Engineer

San Francisco, CA · On-site

$90/hr

We're looking for a Manager, Data Engineering with deep Big Data expertise to design, develop, and ... Design and implement large-scale data processing systems using Big Data technologies such as Hadoop ...

Kanak Elite Services Inc

Data Engineer

Bay Point, CA · On-site

$125K - $151K/yr

Build and manage data workflows with Databricks Jobs, Notebooks, and Workflows * Optimize Spark ... Document data pipelines, datasets, and operational processes * Ensure compliance with data ...

Pwc

Data Engineer - Manager

Irvine, CA · On-site

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... data processing and analysis. You will be responsible for developing and implementing data ...

Pwc

Data Engineer - Manager

Sacramento, CA · On-site

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... data processing and analysis. You will be responsible for developing and implementing data ...

Pwc

Data Engineer - Manager

Los Angeles, CA · On-site

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... data processing and analysis. You will be responsible for developing and implementing data ...

Pwc

Data Engineer - Manager

San Diego, CA · On-site

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... data processing and analysis. You will be responsible for developing and implementing data ...

AllSTEM Connections

Data Engineer

San Francisco, CA · On-site

$120K - $133K/yr

... processing and Python for automation. • Domain experience within retail, apparel, supply chain data platforms, logistics, transportation, or Warehouse Management Systems (WMS). • Familiarity with ...

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All JobsData Processing JobsData Processing Manager JobsData Processing Manager Jobs in California

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 Aug 29, 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?

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 analysis of data within an organization. They coordinate data workflows, ensure data quality, and implement processing systems using tools like SQL, Python, or data management software. Strong leadership, technical skills, and understanding of data security are essential for this role.

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 are popular job titles related to Data Processing Manager jobs in California?

For Data Processing Manager jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Processing Manager jobs in California look for?

The top searched job categories for Data Processing Manager 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:

Data Processing Manager jobs near you
Infographic showing various Data Processing Manager job openings in California as of August 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $51,812 per year, or $24.9 per hour.

Manager Data Engineer

Solomon Page

San Francisco, CA • On-site

$90/hr

Contractor

Medical, Dental, Retirement

Re-posted 9 days ago

Job description

We're looking for a Manager, Data Engineering with deep Big Data expertise to design, develop, and maintain scalable data pipelines and analytics solutions. In this role, you'll partner with cross-functional teams to ensure data quality, availability, and performance - while leading and mentoring a team of data engineers to drive data-driven decision-making across the organization.
  • Pay range :$80/hr on w2 to $90/hr on w2

Responsibilities:
  • Design and implement large-scale data processing systems using Big Data technologies such as Hadoop, Spark, Kafka, and Flink
  • Develop and optimize data pipelines, ensuring high performance, reliability, and scalability
  • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver actionable insights
  • Implement best practices for data governance, security, and compliance
  • Automate data workflows and ETL processes to improve efficiency and reduce manual effort
  • Troubleshoot and resolve performance issues, ensuring smooth data operations
  • Stay updated on emerging Big Data technologies and recommend innovative solutions to enhance data capabilities
  • Lead and mentor a team of data engineers, fostering a culture of collaboration and continuous learning

Qualifications
Required:
  • 8+ years of experience in data engineering, with a focus on Big Data technologies
  • Strong expertise in Hadoop, Spark, Kafka, Flink, and related frameworks
  • Proficiency in SQL, NoSQL databases, and data warehousing solutions
  • Experience with cloud-based data platforms such as AWS, GCP, or Azure
  • Strong programming skills in Python, Scala, or Java
  • Hands-on experience with data modeling, ETL processes, and real-time data processing
  • Knowledge of data governance, security, and compliance best practices
  • Proven ability to lead and manage data engineering teams in an Agile environment
  • Excellent problem-solving, communication, and stakeholder management skills

Preferred (Set Yourself Apart With):
  • Experience with machine learning pipelines and AI-driven data solutions
  • Certifications in Big Data technologies (e.g., Cloudera, Databricks, AWS Big Data)
  • Knowledge of DevOps practices for data engineering and CI/CD pipelines
  • Strong understanding of data architecture and distributed computing

If you meet the required qualifications and are interested in this role, please apply today.
The Solomon Page Distinction
Solomon Page offers a comprehensive benefit program for hourly employees. We pride ourselves on offering medical, dental, 401(k), direct deposit and commuter benefits to our employees, including freelancers - which sets us apart in the industries we serve.
About Solomon Page
Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage.com and connect with us on Facebook , and LinkedIn .
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