{"schemaVersion":"jobsearcher.job.v1","id":"e1ea0b995e1dcf758d895659","url":"https://jobsearcher.com/jobs/e1ea0b995e1dcf758d895659","canonicalUrl":"https://jobsearcher.com/jobs/e1ea0b995e1dcf758d895659","title":"Sr Mainframe Developer / Engineer","description":"Banking Experience is must\nCredit Card experience is huge plus\n10+ years experience is a must\nMainframe Automation experience is a plus\n\nTECHNICAL SKILLS\nMust Have:\nCOBOL, CICS, DB2, DB2 utilities, SQL JCL, MVS Utilities, Experience doing Production Support Use of CA7 Scheduling tool.\nNeed to be able to do analysis on the as-is and come up with design of the to be, Use of Jira.\n\nWork Locations: Dallas, TX / Denver, CO / Minneapolis, MN\n\nNice To Have\nBanking 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.\n\nKey Responsibilities\nPartner with business stakeholders, Product Owners, SMEs, analysts, and development teams to understand business processes, data requirements, source systems, data mappings, and data consumption needs.\nTranslate business requirements, processes, and rules into logical and physical data models, source-to-target mappings, and data integration specifications.\nDefine and implement test data strategies that support functional, regression, integration, performance, automation, and modernization testing needs.\nDesign and govern reusable test data patterns, test data provisioning approaches, masking strategies, synthetic data solutions, and environment refresh processes.\nDemonstrate strong understanding of data modeling principles, including entities, attributes, relationships, schemas, primary and foreign keys, indexes, constraints, and overall database design.\nRead, interpret, and analyze Entity Relationship Diagrams, database schemas, data dictionaries, and end-to-end data flow diagrams to identify data dependencies and business impact.\nPerform data discovery, analysis, and data mining across multiple databases, tables, files, and source systems using SQL, Easytrieve, and other data query and extraction tools.\nValidate data quality, integrity, consistency, and accuracy by analyzing data relationships, transformation logic, reconciliation results, and business rules across systems.\nDevelop 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.\nCollaborate with architecture, development, testing, and operational teams to support data analysis, problem resolution, impact assessments, test automation enablement, and system modernization initiatives.\nEnsure test data solutions comply with data privacy, data protection, retention, classification, and regulatory requirements for sensitive customer and financial data.\nDocument data models, test data design patterns, source-to-target mappings, provisioning processes, standards, and best practices for repeatable enterprise use.\nRequired Qualifications\nBachelor's degree in Computer Science, Information Technology, Data Management, Engineering, or a related field, or equivalent practical experience.\nStrong experience in data analysis, data architecture, database design, test data management, quality engineering, or software delivery.\nProficiency writing and optimizing SQL queries for data discovery, validation, reconciliation, and troubleshooting.\nExperience analyzing relational databases, mainframe data structures, files, batch jobs, APIs, and downstream data consumers.\nAbility to translate business rules and system behavior into clear data requirements, mappings, and test data needs.\nStrong communication skills with the ability to explain complex data concepts to technical and non-technical stakeholders.\nExperience working in Agile delivery environments and collaborating across product, engineering, quality, architecture, and operations teams.\nPreferred Skills & Technologies Databases\nPreferred Skills & Technologies\nDatabases\nDB2\nSQL Server\nOracle\nPostgreSQL\nData Analysis & Query Tools\nSQL\nEasytrieve\nSPUFI\nBasic understanding of COBOL, JCL, and VSAM datasets\nBanking Domain Knowledge (Preferred)\nExperience working within banking, payments, credit card, deposits, lending, or customer/account data domains.\nUnderstanding of core banking platforms, transaction processing flows, customer and account hierarchies, and regulatory reporting requirements.\nAbility to trace, analyze, and map data across upstream and downstream applications, databases, files, APIs, and enterprise data platforms.\nFamiliarity with batch and real-time processing architectures and the movement of data across interconnected banking systems.\nExperience with enterprise test data management platforms, data masking, synthetic data generation, data subsetting, and automated data provisioning is preferred.\nUnderstanding of data governance, data classification, retention requirements, and regulations governing the storage, transmission, and protection of sensitive customer and financial data.\nFlexible work from home options available.","company":"Vytwo","rawCompany":"vytwo","city":"Dallas","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-08-03T21:29:24.507Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Sr Mainframe Developer / Engineer","description":"Banking Experience is must\nCredit Card experience is huge plus\n10+ years experience is a must\nMainframe Automation experience is a plus\n\nTECHNICAL SKILLS\nMust Have:\nCOBOL, CICS, DB2, DB2 utilities, SQL JCL, MVS Utilities, Experience doing Production Support Use of CA7 Scheduling tool.\nNeed to be able to do analysis on the as-is and come up with design of the to be, Use of Jira.\n\nWork Locations: Dallas, TX / Denver, CO / Minneapolis, MN\n\nNice To Have\nBanking 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.\n\nKey Responsibilities\nPartner with business stakeholders, Product Owners, SMEs, analysts, and development teams to understand business processes, data requirements, source systems, data mappings, and data consumption needs.\nTranslate business requirements, processes, and rules into logical and physical data models, source-to-target mappings, and data integration specifications.\nDefine and implement test data strategies that support functional, regression, integration, performance, automation, and modernization testing needs.\nDesign and govern reusable test data patterns, test data provisioning approaches, masking strategies, synthetic data solutions, and environment refresh processes.\nDemonstrate strong understanding of data modeling principles, including entities, attributes, relationships, schemas, primary and foreign keys, indexes, constraints, and overall database design.\nRead, interpret, and analyze Entity Relationship Diagrams, database schemas, data dictionaries, and end-to-end data flow diagrams to identify data dependencies and business impact.\nPerform data discovery, analysis, and data mining across multiple databases, tables, files, and source systems using SQL, Easytrieve, and other data query and extraction tools.\nValidate data quality, integrity, consistency, and accuracy by analyzing data relationships, transformation logic, reconciliation results, and business rules across systems.\nDevelop 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.\nCollaborate with architecture, development, testing, and operational teams to support data analysis, problem resolution, impact assessments, test automation enablement, and system modernization initiatives.\nEnsure test data solutions comply with data privacy, data protection, retention, classification, and regulatory requirements for sensitive customer and financial data.\nDocument data models, test data design patterns, source-to-target mappings, provisioning processes, standards, and best practices for repeatable enterprise use.\nRequired Qualifications\nBachelor's degree in Computer Science, Information Technology, Data Management, Engineering, or a related field, or equivalent practical experience.\nStrong experience in data analysis, data architecture, database design, test data management, quality engineering, or software delivery.\nProficiency writing and optimizing SQL queries for data discovery, validation, reconciliation, and troubleshooting.\nExperience analyzing relational databases, mainframe data structures, files, batch jobs, APIs, and downstream data consumers.\nAbility to translate business rules and system behavior into clear data requirements, mappings, and test data needs.\nStrong communication skills with the ability to explain complex data concepts to technical and non-technical stakeholders.\nExperience working in Agile delivery environments and collaborating across product, engineering, quality, architecture, and operations teams.\nPreferred Skills & Technologies Databases\nPreferred Skills & Technologies\nDatabases\nDB2\nSQL Server\nOracle\nPostgreSQL\nData Analysis & Query Tools\nSQL\nEasytrieve\nSPUFI\nBasic understanding of COBOL, JCL, and VSAM datasets\nBanking Domain Knowledge (Preferred)\nExperience working within banking, payments, credit card, deposits, lending, or customer/account data domains.\nUnderstanding of core banking platforms, transaction processing flows, customer and account hierarchies, and regulatory reporting requirements.\nAbility to trace, analyze, and map data across upstream and downstream applications, databases, files, APIs, and enterprise data platforms.\nFamiliarity with batch and real-time processing architectures and the movement of data across interconnected banking systems.\nExperience with enterprise test data management platforms, data masking, synthetic data generation, data subsetting, and automated data provisioning is preferred.\nUnderstanding of data governance, data classification, retention requirements, and regulations governing the storage, transmission, and protection of sensitive customer and financial data.\nFlexible work from home options available.","datePosted":"2026-08-03T21:29:24.507Z","dateModified":"2026-08-03T21:29:24.507Z","hiringOrganization":{"@type":"Organization","name":"Vytwo","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e1ea0b995e1dcf758d895659"},"url":"https://jobsearcher.com/jobs/e1ea0b995e1dcf758d895659"}}