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Mainframe Testing Jobs in Dallas, TX (NOW HIRING)

Vytwo

Sr Mainframe Developer / Engineer

Prosper, TX · On-site

$44.75 - $57.75/hr

Mainframe Automation experience is a plus TECHNICAL SKILLS Must Have: COBOL, CICS, DB2, DB2 ... Collaborate with architecture, development, testing, and operational teams to support data analysis ...

TriOptus LLC

Mainframe Security Engineer

Plano, TX · On-site

* Security Engineer: EZ Mainframe Security Tooling Team * Client is a leading global financial ... testing, application releases, and ongoing monitoring and support for over 3,000 production ...

Broadcom, Inc.

Senior Mainframe Software Engineer

Plano, TX · On-site

$117K - $154K/yr

Performing validation and verification testing. * Mentor junior engineers and guide them in their ... Proven Mainframe knowledge and skills. * IBM Assembler Language (HLASM) proficiency. * z/OS ...

Broadcom, Inc.

Mainframe QA Engineer

Plano, TX · On-site

... testing methodologies. o Identify areas for process improvement; drive initiatives to enhance QA ... Work Experience: 5+ or more years of experience in Mainframe software development or a related ...

Broadcom, Inc.

Senior Mainframe DevOps Architect

Plano, TX · On-site

$123K - $168K/yr

Proficient with REXX scripting and JCL, alongside modern mainframe DevOps tools - including Zowe (Zowe CLI, API/ML, Code4z extensions like Explorer for Endevor and Zowe Explorer) and testing suites ...

NTT DATA Services

Mainframe Developer

Dallas, TX · On-site

$96K - $145K/yr

We are currently seeking a Mainframe Developer to join our team in Dallas, Texas (US-TX), United ... Participating in code review and unit testing and providing support on issues in non-prod or ...

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How much do mainframe testing jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for mainframe testing in Dallas, TX is $52.80, according to ZipRecruiter salary data. Most workers in this role earn between $46.59 and $59.90 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working in mainframe testing?

Professionals in Mainframe Testing often encounter challenges such as understanding legacy code, dealing with limited documentation, and adapting to the evolving integration of mainframe and modern systems. Testers must also effectively validate large volumes of data, ensure compatibility across interconnected applications, and manage tight release deadlines. Collaborating closely with developers, business analysts, and operations teams is essential for clarifying requirements and troubleshooting issues. Successfully overcoming these challenges requires persistence, a willingness to learn, and strong teamwork skills.

Are mainframe testing jobs in demand?

Mainframe testing jobs are in steady demand due to the continued reliance of large organizations on mainframe systems for critical operations. Professionals with skills in mainframe environments, testing tools, and scripting are sought after, especially in finance, insurance, and government sectors. The role often requires knowledge of COBOL, JCL, and testing frameworks, with opportunities available for experienced testers and those with certifications.

How to be a mainframe tester?

To become a mainframe tester, you should have a strong understanding of mainframe environments, including COBOL, JCL, and DB2, along with testing tools like IBM Rational or CA Test Data Manager. Gaining experience in software testing, scripting, and understanding mainframe architecture is essential, and certifications such as IBM Certified Mainframe Application Developer can enhance your credentials.

What are the key skills and qualifications needed to thrive in mainframe testing?

To thrive in Mainframe Testing, you need strong analytical abilities, a solid understanding of mainframe environments and programming languages like COBOL, JCL, and experience with testing methodologies. Familiarity with tools such as IBM Mainframe, CA7/Endevor, and mainframe testing frameworks, as well as ISTQB certification, is highly valuable. Attention to detail, strong problem-solving skills, and effective communication are essential soft skills in this role. These competencies help ensure that complex mainframe systems are thoroughly tested, reliable, and meet business requirements.

What is mainframe testing?

A Mainframe Testing job involves validating and verifying applications running on mainframe systems to ensure they function correctly, efficiently, and securely. Testers perform various types of testing, including functional, integration, regression, and performance testing, using tools like JCL, COBOL, DB2, and CICS. They analyze test results, identify defects, and collaborate with developers to resolve issues. Mainframe testers need knowledge of batch processing, databases, and system interactions to ensure seamless operations. The role is critical in industries like banking, insurance, and healthcare, where mainframes handle high-volume transactions.

What are popular job titles related to Mainframe Testing jobs in Dallas, TX? For Mainframe Testing jobs in Dallas, TX, the most frequently searched job titles are:
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Mainframe Testing jobs near you
Infographic showing various Mainframe Testing job openings in Dallas, TX as of August 2026, with employment types broken down into 66% Full Time, and 34% Contract. Highlights an 100% In-person job distribution, with an average salary of $109,831 per year, or $52.8 per hour.

Sr Mainframe Developer / Engineer

Vytwo

Prosper, TX • On-site

$44.75 - $57.75/hr

Full-time

Posted 22 days ago

Job description

* Banking Experience is must
*Credit Card experience is huge plus*10+ years experience is a must*Mainframe Automation experience is a plus
TECHNICAL SKILLS
Must Have:
COBOL, CICS, DB2, DB2 utilities, SQL JCL, MVS Utilities, Experience doing Production Support Use of CA7 Scheduling tool. 
Need to be able to do analysis on the as-is and come up with design of the to be, Use of Jira.
*Work Locations: Dallas, TX / Denver, CO / Minneapolis, MN
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.
 
 
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
 
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.