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Batch Processing Jobs in California (NOW HIRING)

RZR Global Inc.

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 ...

RZR Global Inc.

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 ...

Walmart

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 ...

Walmart

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 ...

Walmart

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 ...

Walmart

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 ...

Walmart

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 ...

Walmart

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 ...

Walmart

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 ...

Walmart

Senior, Software Engineer

Mountain View, 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 ...

Jobsbridge

PHP Engineer

San Francisco, CA

... 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 ...

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Batch Processing information

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How much do batch processing jobs pay per hour?

As of Jul 22, 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 the Batch Processing position, 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 a batch processing job?

A batch processing job is a type of task in which data or tasks are collected, processed, and completed together in groups or batches, often scheduled to run automatically at specific times. It is commonly used in data management, accounting, and large-scale data analysis environments, requiring knowledge of scripting or automation tools. Batch jobs typically run without user interaction and are suitable for processing large volumes of data efficiently.

What jobs in the US pay 300,000 a year?

In the field of batch processing and related IT roles, senior software engineers, data architects, and IT managers can earn $300,000 or more annually, especially with extensive experience, specialized skills, and leadership responsibilities. High-paying positions often require advanced certifications, expertise in cloud platforms, and managing large-scale data systems or infrastructure.

What is an example of a batch job?

A batch job in batch processing involves executing a series of tasks or data processing jobs automatically without user interaction, often scheduled to run during off-peak hours. Examples include processing payroll, generating reports, or data backups, typically managed using tools like cron or job schedulers. These jobs handle large volumes of data efficiently and are common in data management and enterprise environments.

What is a Batch Processing job?

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.

Is batch processing still used?

Batch processing is still used in various industries for handling large volumes of data efficiently, especially in data warehousing, financial transactions, and manufacturing environments. It remains relevant alongside real-time processing, with many organizations integrating both methods based on their needs.
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 job categories do people searching Batch Processing jobs in California look for? The top searched job categories for Batch Processing jobs in California are:
What cities in California are hiring for Batch Processing jobs? Cities in California with the most Batch Processing job openings:
Batch Processing jobs near you
Infographic showing various Batch Processing job openings in California as of July 2026, with employment types broken down into 84% Full Time, 8% Part Time, 1% Temporary, 5% Contract, and 2% Nights. Highlights an 93% Physical, 2% 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

Posted 3 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.

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