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Data Processing Manager Jobs in Hercules, CA (NOW HIRING)

Data Engineer

San Francisco, CA · On-site

$120 - $180/hr

Manage project priorities, deadlines, and deliverables across multiple initiatives. * Build and optimize data pipelines using Spark and other distributed processing frameworks. * Develop software ...

Cloud Data Engineer

Napa, CA · On-site

$115K - $151K/yr

... and managing data solutions on Microsoft Azure and other cloud platforms. Oversee the creation and maintenance of data pipelines, storage solutions, processing, analysis, and integration to ...

Initiate model training processes using internal tools and command-line interfaces. * Evaluate the performance of trained models to gauge their efficacy and readiness for deployment. Data Management ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Manager you lead large projects, innovate processes, and maintain operational ...

You will manage organizational data protection and oversee our GDPR compliance. * Train the staff involving in data processing. * Develop and execute relevant compliance projects. * Conduct regular ...

You will manage organizational data protection and oversee our GDPR compliance. * Train the staff involving in data processing. * Develop and execute relevant compliance projects. * Conduct regular ...

Showing results 41-60

Data Processing Manager information

See Hercules, CA salary details

$38.1K

$58K

$75.6K

How much do data processing manager jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data processing manager in Hercules, CA is $57,965.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,900.00 and $69,000.00 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 Hercules, CA?

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

What are popular job titles related to Data Processing Manager jobs in Hercules, CA?

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

What job categories do people searching Data Processing Manager jobs in Hercules, CA look for?

The top searched job categories for Data Processing Manager jobs in Hercules, CA are:

What cities near Hercules, CA are hiring for Data Processing Manager jobs?

Cities near Hercules, CA with the most Data Processing Manager job openings:

Infographic showing various Data Processing Manager job openings in Hercules, CA as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $57,965 per year, or $27.9 per hour.

Data Engineer

NexDimension

San Francisco, CA • On-site

$120 - $180/hr

Other

Posted 4 days ago


Job description

We have a full-time job opportunity of Data Engineer in San Francisco, California (Hybrid).

Location: San Francisco, California (Hybrid, 3 times a week at client’s office in the Bay Area)

Responsibilities
  • Design, develop, test, deploy, and maintain scalable Big Data solutions.
  • Manage project priorities, deadlines, and deliverables across multiple initiatives.
  • Build and optimize data pipelines using Spark and other distributed processing frameworks.
  • Develop software using modern programming languages such as Java or Scala.
  • Work with both relational (e.g., MySQL, Postgres) and NoSQL databases.
  • Integrate and manage data workflows using tools like Hive, Impala, OOZIE, Airflow, NIFI, and Kafka.
  • Write shell scripts and manage deployments in Linux/Unix environments.
  • Collaborate with cross-functional teams in agile ceremonies including daily stand-ups, story pointing, and retrospectives.
  • Mentor junior engineers and foster a culture of continuous improvement and technical excellence.
Skills/Experience
  • Extensive experience as a Big Data engineer, with expertise in cloud or on-premise data platforms.
  • Proficient in at least one modern programming language (Java, Scala, or Python).
  • Strong foundation in computer science principles including object-oriented design, data structures, algorithms, and complexity analysis.
  • Deep experience with Spark and distributed data processing.
  • Hands-on experience with both SQL and NoSQL databases.
  • Familiarity with data orchestration and streaming tools (Kafka, Airflow, NIFI, etc.).
  • Comfortable working in Linux/Unix environments with basic shell scripting skills.
  • Proven ability to design and develop software systems at scale.
  • Strong understanding of Agile methodologies, with the ability to drive iterative delivery and cross-team collaboration.
  • Strong communicator with the ability to explain complex concepts to both technical and non-technical audiences, and to influence stakeholders across product, engineering, and acquisition teams.

Bachelor’s degree in Computer Science, Data Analytics, Mathematics, Software Engineering, or a related field or equivalent practical experience

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