Remote Mainframe Batch information
See salary details
$10.10 - $15.76
2% of jobs
$15.76 - $21.42
0% of jobs
$21.42 - $27.08
0% of jobs
$27.08 - $32.74
0% of jobs
$32.74 - $38.40
2% of jobs
$38.40 - $44.06
12% of jobs
$46.59 is the 25th percentile. Wages below this are outliers.
$44.06 - $49.72
20% of jobs
The median wage is $52.66 / hr.
$49.72 - $55.38
27% of jobs
$59.44 is the 75th percentile. Wages above this are outliers.
$55.38 - $61.04
17% of jobs
$61.04 - $66.70
12% of jobs
$66.70 - $72.36
9% of jobs
How much do remote mainframe batch jobs pay per hour?
As of Aug 21, 2026, the average hourly pay for remote mainframe batch in the United States is $53.38, according to ZipRecruiter salary data. Most workers in this role earn between $47.12 and $60.58 per hour, depending on experience, location, and employer.
A Remote Mainframe Batch job involves managing, scheduling, and monitoring batch processing tasks on mainframe computer systems from a remote location. Professionals in this role are responsible for ensuring that large volumes of data processing jobs run smoothly, troubleshooting any issues, and optimizing job performance. They use specialized software to automate and oversee workloads, often working with legacy systems critical to large enterprises. Remote work allows for flexibility while maintaining the same level of responsibility and technical expertise as on-site roles.
To thrive as a Remote Mainframe Batch Operator, you need expertise in mainframe environments, batch job scheduling, and troubleshooting, often supported by experience with IBM z/OS and related systems. Familiarity with tools like JCL (Job Control Language), CA-7/CA-11 job schedulers, and mainframe monitoring software is typically required. Strong attention to detail, problem-solving abilities, and effective communication are crucial soft skills in this role. These skills ensure reliable batch processing, minimize downtime, and facilitate seamless coordination in remote operational settings.
Professionals in a Remote Mainframe Batch role often face challenges such as troubleshooting job failures without direct access to physical hardware, coordinating with distributed teams across time zones, and managing large volumes of critical batch jobs with tight deadlines. To address these challenges, clear communication protocols, robust documentation, and strong problem-solving skills are essential. Leveraging remote monitoring tools and automation can also help streamline processes and minimize the risk of errors.
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