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Mainframe Batch Jobs in Texas (NOW HIRING)

Vytwo

Sr Mainframe Developer / Engineer

Dallas, TX · On-site

$48.75 - $62.50/hr

Experience analyzing relational databases, mainframe data structures, files, batch jobs, APIs, and downstream data consumers. LOCATION: Minneapolis, MN 55343 Key Responsibilities * Partner with ...

Infosys

Mainframe Developer

Richardson, TX · On-site

$44.50 - $57.25/hr

... execute batch jobs on the mainframe. Preferred Skill and Experience • Experience in DB2 - IBM's relational database management system used to store, retrieve, and manage application data. • ...

Infojini Inc

Mainframe programmer/Analyst

Austin, TX · On-site

Development of new batch or online programs and modifications of existing programs including ... enabling mainframe Natural programs Additional Information All your information will be kept ...

Thinkfind

COBOL IMS/DB2 Programmers

Dallas, TX

$40 - $45/hr

You should have experience working with DB2 databases and IMS for both batch and transactional systems. Familiarity with job scheduling tools, system utilities, and mainframe security practices is ...

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Mainframe Batch information

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How much do mainframe batch jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for mainframe batch in Texas is $49.73, according to ZipRecruiter salary data. Most workers in this role earn between $43.89 and $56.44 per hour, depending on experience, location, and employer.

What is a mainframe batch?

A Mainframe Batch job is a process that runs on a mainframe system without direct user interaction, typically executing a series of predefined tasks. These jobs are submitted using JCL (Job Control Language) and can involve data processing, report generation, or system maintenance. Batch jobs are scheduled to run at specific times or triggered by certain events, ensuring efficient resource utilization. They are critical for automating repetitive tasks and handling large-scale data processing in enterprise environments.

What does a mainframe batch do?

As a Mainframe Batch professional, your daily tasks generally include monitoring scheduled batch jobs, identifying and resolving job failures, and ensuring all processes complete within specified time windows. You may also be responsible for making schedule changes, updating job scripts, performing routine maintenance, and coordinating with application support or development teams to implement new jobs. Regular documentation and reporting of batch job statuses, along with participating in incident management, are also key parts of the role. These responsibilities require precision and strong collaboration skills, as your work directly impacts the overall efficiency and reliability of critical business operations.

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

To thrive as a Mainframe Batch professional, you need a solid understanding of mainframe operations, JCL (Job Control Language), batch job scheduling, and experience with tools like IBM z/OS and job schedulers such as CA-7 or Control-M. Familiarity with scripting, troubleshooting batch job failures, and certifications like IBM Certified System Programmer can be beneficial. Strong attention to detail, effective communication, and problem-solving skills help you proactively resolve issues and coordinate with support teams. These competencies are vital for ensuring business-critical batch processes run smoothly and efficiently within high-availability enterprise environments.

Is mainframe batch still in demand?

Mainframe batch processing remains in demand in industries such as finance, insurance, and government, where large-scale data processing and transaction management are critical. Professionals with skills in COBOL, JCL, and mainframe environments are valued for maintaining and optimizing legacy systems, though the overall demand has decreased with the rise of cloud and distributed computing. However, specialized knowledge in mainframe batch jobs continues to be a niche skill set with steady job opportunities.

What are popular job titles related to Mainframe Batch jobs in Texas?

For Mainframe Batch jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Mainframe Batch jobs in Texas look for?

The top searched job categories for Mainframe Batch jobs in Texas are:

What cities in Texas are hiring for Mainframe Batch jobs?

Cities in Texas with the most Mainframe Batch job openings:

Mainframe Batch jobs near you
Infographic showing various Mainframe Batch job openings in Texas as of September 2026, with employment types broken down into 86% Full Time, 7% Part Time, 1% Temporary, 3% Contract, and 3% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $103,438 per year, or $49.7 per hour.

Sr Mainframe Developer / Engineer

Dallas, TX • On-site

Vytwo
See more jobs at Vytwoexternal

$48.75 - $62.50/hr

Other

Re-posted 26 days ago

Key responsibilities

  • Partner with stakeholders to understand business processes, data requirements, source systems, data mappings, and data consumption needs.

  • Translate business requirements and rules into data models, source-to-target mappings, and data integration specifications.

  • Define and implement test data strategies, including data provisioning, masking, synthetic data solutions, and environment refresh processes.

Job description

Banking Experience is must. Credit Card experience is huge plus. 10+ years experience is a must. TECHNICAL SKILLS Must Have:
  • COBOL
  • CICS
  • DB2
  • DB2 utilities
  • SQL JCL
  • MVS Utilities
  • Experience doing Production Support Use of CA7 Scheduling tool
Nice To Have:

Banking Domain Knowledge, Strong experience in data analysis, data architecture, database design, test data management, quality engineering, or software delivery. Proficiency writing and optimizing SQL queries for data discovery, validation, reconciliation, and troubleshooting. Experience analyzing relational databases, mainframe data structures, files, batch jobs, APIs, and downstream data consumers.

LOCATION: Minneapolis, MN 55343 Key Responsibilities
  • Partner with business stakeholders, Product Owners, SMEs, analysts, and development teams to understand business processes, data requirements, source systems, data mappings, and data consumption needs.
  • Translate business requirements, processes, and rules into logical and physical data models, source-to-target mappings, and data integration specifications.
  • Define and implement test data strategies that support functional, regression, integration, performance, automation, and modernization testing needs.
  • Design and govern reusable test data patterns, test data provisioning approaches, masking strategies, synthetic data solutions, and environment refresh processes.
  • Demonstrate strong understanding of data modeling principles, including entities, attributes, relationships, schemas, primary and foreign keys, indexes, constraints, and overall database design.
  • Read, interpret, and analyze Entity Relationship Diagrams, database schemas, data dictionaries, and end-to-end data flow diagrams to identify data dependencies and business impact.
  • Perform data discovery, analysis, and data mining across multiple databases, tables, files, and source systems using SQL, Easytrieve, and other data query and extraction tools.
  • Validate data quality, integrity, consistency, and accuracy by analyzing data relationships, transformation logic, reconciliation results, and business rules across systems.
  • Develop an understanding of data movement and integration patterns, including real-time and batch processing, event-driven architectures, APIs, messaging queues, data pipelines, and file- based interfaces.
  • Collaborate with architecture, development, testing, and operational teams to support data analysis, problem resolution, impact assessments, test automation enablement, and system modernization initiatives.
  • Ensure test data solutions comply with data privacy, data protection, retention, classification, and regulatory requirements for sensitive customer and financial data.
  • Document data models, test data design patterns, source-to-target mappings, provisioning processes, standards, and best practices for repeatable enterprise use.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Data Management, Engineering, or a related field, or equivalent practical experience.
  • Strong experience in data analysis, data architecture, database design, test data management, quality engineering, or software delivery.
  • Proficiency writing and optimizing SQL queries for data discovery, validation, reconciliation, and troubleshooting.
  • Experience analyzing relational databases, mainframe data structures, files, batch jobs, APIs, and downstream data consumers.
  • Ability to translate business rules and system behavior into clear data requirements, mappings, and test data needs.
  • Strong communication skills with the ability to explain complex data concepts to technical and non-technical stakeholders.
  • Experience working in Agile delivery environments and collaborating across product, engineering, quality, architecture, and operations teams.
Preferred Skills & Technologies Databases
  • DB2
  • SQL Server
  • Oracle
  • PostgreSQL
Data Analysis & Query Tools
  • SQL
  • Easytrieve
  • SPUFI
  • Basic understanding of COBOL, JCL, and VSAM datasets
Banking Domain Knowledge (Preferred)
  • Experience working within banking, payments, credit card, deposits, lending, or customer/account data domains.
  • Understanding of core banking platforms, transaction processing flows, customer and account hierarchies, and regulatory reporting requirements.
  • Ability to trace, analyze, and map data across upstream and downstream applications, databases, files, APIs, and enterprise data platforms.
  • Familiarity with batch and real-time processing architectures and the movement of data across interconnected banking systems.
  • Experience with enterprise test data management platforms, data masking, synthetic data generation, data subsetting, and automated data provisioning is preferred.
  • Understanding of data governance, data classification, retention requirements, and regulations governing the storage, transmission, and protection of sensitive customer and financial data.

Flexible work from home options available.

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