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1d ago

Sr Mainframe Developer / Engineer

Vytwo Dallas, TX

Dallas, TX

1d ago

Full time Senior CICS COBOL

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Job Description

Vytwo is seeking a Sr Mainframe Developer / Engineer to support banking-focused work in a hybrid role based in Dallas, TX. You will help turn business needs into robust data and integration solutions, with a strong focus on test data strategy, data quality validation, and mainframe production support.

What you’ll do

Work 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 rules into logical and physical data models, source-to-target mappings, and data integration specifications.
Define and implement test data strategies for functional, regression, integration, performance, automation, and modernization testing.
Design and govern reusable test data patterns, including test data provisioning approaches, masking strategies, synthetic data solutions, and environment refresh processes.
Apply data modeling fundamentals, including entities, attributes, relationships, schemas, primary and foreign keys, indexes, and constraints.
Interpret Entity Relationship Diagrams, database schemas, data dictionaries, and end-to-end data flow diagrams to identify data dependencies and business impact.
Conduct data discovery and analysis across databases, tables, files, and source systems using SQL, Easytrieve, and other query and extraction tools.
Validate data quality, integrity, consistency, and accuracy through reconciliation results, transformation logic, and business rule checks across systems.
Support analysis of data movement patterns across real-time and batch processing, including event-driven approaches, APIs, messaging queues, pipelines, and file-based interfaces.
Collaborate with architecture, development, testing, and operational teams for impact assessment, problem resolution, and test automation enablement.
Ensure test data solutions align with data privacy, 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, and standards for repeatable enterprise use.

Requirements

Banking experience is required.
10+ years of experience is required.
Strong hands-on skills with COBOL, CICS, DB2, DB2 utilities, SQL, JCL, and MVS utilities, plus experience with production support.
Experience using CA7 scheduling tool.
Ability to assess the as-is and propose a to-be design.
Use of Jira.
Bachelor’s degree in Computer Science, Information Technology, Data Management, Engineering, or related field, or equivalent practical experience.
Strong experience across 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 data requirements, mappings, and test data needs.
Strong communication skills for explaining 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.

Technologies

COBOL, CICS, DB2, SQL, JCL, MVS Utilities, CA7, Jira
SQL JCL, Easytrieve, SPUFI, DB2 utilities
SQL Server, Oracle, PostgreSQL

Benefits

Flexible work from home options available.

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.

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 data movement across interconnected banking systems.
Experience with enterprise test data management platforms, data masking, synthetic data generation, data subsetting, and automated data provisioning.
Understanding of data governance, data classification, retention requirements, and regulations for sensitive customer and financial data (storage, transmission, and protection).

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