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Batch Processing Jobs in California (NOW HIRING)

Senior Data Engineer

San Francisco, CA · On-site

$124K - $169K/yr

Architect, design, and own highly scalable, fault-tolerant data pipelines for real-time and batch processing of large-scale event and campaign data. * Lead the development of data processing systems ...

Senior Data Engineer

San Francisco, CA

$124K - $169K/yr

Architect, design, and own highly scalable, fault-tolerant data pipelines for real-time and batch processing of large-scale event and campaign data. * Lead the development of data processing systems ...

Senior, Software Engineer

San Mateo, CA · On-site

$117K - $234K/yr

Drive large-scale Apache Spark batch processing jobs on cloud infrastructure to identify and fan out impacted entities across millions of records following rule changes * Implement simulation and ...

Senior, Software Engineer

San Jose, CA · On-site

$117K - $234K/yr

Drive large-scale Apache Spark batch processing jobs on cloud infrastructure to identify and fan out impacted entities across millions of records following rule changes * Implement simulation and ...

Senior, Software Engineer

Cupertino, CA · On-site

$117K - $234K/yr

Drive large-scale Apache Spark batch processing jobs on cloud infrastructure to identify and fan out impacted entities across millions of records following rule changes * Implement simulation and ...

Senior, Software Engineer

Hayward, CA · On-site

$117K - $234K/yr

Drive large-scale Apache Spark batch processing jobs on cloud infrastructure to identify and fan out impacted entities across millions of records following rule changes * Implement simulation and ...

Senior, Software Engineer

Milpitas, CA · On-site

$117K - $234K/yr

Drive large-scale Apache Spark batch processing jobs on cloud infrastructure to identify and fan out impacted entities across millions of records following rule changes * Implement simulation and ...

Senior, Software Engineer

Sunnyvale, CA · On-site

$117K - $234K/yr

Drive large-scale Apache Spark batch processing jobs on cloud infrastructure to identify and fan out impacted entities across millions of records following rule changes * Implement simulation and ...

Senior, Software Engineer

Fremont, CA · On-site

$117K - $234K/yr

Drive large-scale Apache Spark batch processing jobs on cloud infrastructure to identify and fan out impacted entities across millions of records following rule changes * Implement simulation and ...

Drive large-scale Apache Spark batch processing jobs on cloud infrastructure to identify and fan out impacted entities across millions of records following rule changes * Implement simulation and ...

Responsibilities : • Manage, support, and enhance Autosys job scheduling and batch processing environments. • Design, implement, and maintain reliable, scalable, and secure cloud-based ...

Senior Mainframe COBOL Developer

Los Angeles, CA · On-site

$52.75 - $68/hr

Experience supporting production environments, batch processing, and application maintenance. * Background in Automotive Finance, Consumer Lending, Commercial Lending, Banking, or Financial Services

Sr. Manager, Automation Engineer

Vista, CA · On-site

$107K - $141K/yr

Lead and manage the automation engineering team responsible for automation systems supporting batch processing tanks, solvent recovery systems, filter dryers, HPLCs, filtration systems, lyophilizers ...

... and other batch processing, knowledge of relational databases, XML, JSON, REST, SQL MySQL experience is desirable Proficient with Linux systems JQuery, Javascript, Ajax, Visualization libraries ...

... batch processing, including Batch Monitor, Batch Scheduler, and custom batch development. • Expert level Facets custom interface, extension and REST API development Experience utilizing C#.Net and ...

Showing results 21-40

Batch Processing information

See California salary details

$12

$20

$33

How much do batch processing jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for batch processing in California is $20.07, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $20.87 per hour, depending on experience, location, and employer.

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

To excel in a Batch Processing role, strong analytical skills, attention to detail, and experience with data processing or IT systems are essential, often supported by a degree in computer science or a related field. Familiarity with scheduling tools (like Control-M or AutoSys), mainframe environments, scripting languages, and database management is typically required. Effective communication, time management, and problem-solving abilities help professionals in this role interface with multiple teams and handle workflow interruptions. These skills ensure smooth, efficient, and accurate processing of high-volume data or transactions, minimizing errors and downtime.

What are the typical daily responsibilities for someone working in batch processing?

Professionals in Batch Processing are usually responsible for scheduling, monitoring, and troubleshooting large-scale data or transaction jobs that run in batches, often outside of normal business hours. They ensure that jobs are executed on time, errors are identified and resolved promptly, and all data processing meets organizational standards for accuracy and security. Collaboration with IT, database administrators, and business analysts is common to update or optimize batch processes. Additionally, they may generate reports and maintain logs for compliance or auditing purposes. The role requires keen attention to detail and flexibility to respond quickly to issues or changing workloads.

What is batch processing?

A Batch Processing job is a type of computing task that processes large volumes of data in groups (or batches) without user interaction. These jobs are typically scheduled to run at specific times or triggered by certain conditions. Batch processing is commonly used for tasks such as payroll processing, data transformation, and report generation. It is efficient for handling repetitive, high-volume data operations while optimizing system resources.

What are popular job titles related to Batch Processing jobs in California? For Batch Processing jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Batch Processing jobs? Cities in California with the most Batch Processing job openings:
Infographic showing various Batch Processing job openings in California as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $41,750 per year, or $20.1 per hour.

Senior Data Engineer

RZR Global Inc.

San Francisco, CA • On-site

$124K - $169K/yr

Full-time

Re-posted 24 days ago


Job description

Who are we?RZR Global is an AI-driven company specializing in mobile advertising solutions designed to fuel revenue growth. We leverage AI to discover audiences in a privacy-first environment through trillions of contextual bidding signals and proprietary behavioral models. Our audience engagement platform includes creative strategy and execution. We handle 5 million mobile ad requests per second from over 10 billion devices, driving performance for both publishers and brands. We are headquartered in San Francisco, CA, with a global presence across the United States, EMEA, and APAC.
Role Overview
RZR Global is seeking a talented Data Engineer to join our growing engineering team. This role is ideal for an engineer with a strong background in building and operating large-scale, high-performance data pipelines. As a Data Engineer, you will design, develop, and maintain the data infrastructure that powers our programmatic Demand-Side Platform (DSP), enabling real-time and batch processing of massive volumes of event, log, and campaign data. You will work with technologies such as ClickHouse, Kafka, Spark, HDFS, and Fluentd to ensure data is reliable, scalable, and accessible for analytics, reporting, and machine learning. You will collaborate closely with backend engineers, data scientists, and product teams to deliver high-quality data solutions that support real-time bidding (RTB), optimization, and business insights.
Key Responsibilities
  • Architect, design, and own highly scalable, fault-tolerant data pipelines for real-time and batch processing of large-scale event and campaign data.
  • Lead the development of data processing systems using Kafka, Spark, ClickHouse, HDFS, and Fluentd, with a strong focus on performance, reliability, and data correctness.
  • Partner closely with backend engineers, data scientists, and product teams to define data models, SLAs, and end-to-end data flows that support real-time bidding (RTB), analytics, and machine learning use cases.
  • Drive performance optimization, capacity planning, and cost efficiency across streaming and batch data platforms.
  • Establish and enforce best practices around data quality, monitoring, alerting, testing, and operational readiness.
  • Conduct design and code reviews, mentor junior engineers, and provide technical leadership across data engineering initiatives.
  • Evaluate and introduce new data technologies, frameworks, and architectural improvements to evolve the data platform at scale.
Required Skills / Experience
  • 6+ years of experience in data engineering, backend engineering, or distributed systems development.
  • Strong proficiency in building and operating large-scale data pipelines using technologies such as Kafka, Spark, ClickHouse, HDFS, and Fluentd.
  • Solid understanding of distributed systems concepts, including data partitioning, fault tolerance, consistency, and scalability.
  • Experience designing efficient data models and schemas for analytical and real-time workloads.
  • Strong experience with streaming and batch processing architectures.
  • Experience with performance tuning, capacity planning, and troubleshooting production data systems.
  • Familiarity with data quality, monitoring, alerting, and operational best practices.
  • Knowledge of real-time systems, ad tech, programmatic advertising, RTB, or large-scale analytics platforms is a plus.
  • Excellent problem-solving skills, strong ownership mindset, and ability to operate effectively in a fast-paced, high-scale environment.
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.