Software Engineer – Legacy Modernization (COBOL / SAS to Python / R) 

Position Title: Software Engineer – Legacy Modernization (COBOL / SAS to Python / R) 
Location: Remote (U.S.) with Occasional Travel 
Client: Federal / Public Sector Programs 
Work Authorization: Candidates must be authorized to work in the United States. U.S. Citizenship may be required based on client assignment. 
📩 To apply, please submit your resume to careers@wintrio.com or complete the application form below. 

Job Summary 

WINTrio LLC is seeking an experienced Software Engineer – Legacy Modernization to support Federal digital transformation initiatives by modernizing legacy applications, statistical programs, and enterprise systems into secure, scalable, and maintainable modern software solutions. 

This role focuses on analyzing legacy codebases, documenting business logic, validating existing functionality, and converting legacy applications developed in technologies such as COBOL, SAS, FoxPro, PowerBuilder, and similar platforms into modern programming languages including Python, R, and cloud-native application frameworks. 

The successful candidate will collaborate with business analysts, subject matter experts (SMEs), Data Engineers, Software Developers, Cloud Engineers, and program stakeholders to preserve business functionality while improving maintainability, performance, scalability, and long-term sustainability of mission-critical Federal systems. 

The ideal candidate possesses strong analytical skills, experience working with both legacy and modern technologies, and the ability to translate complex business rules into modern application architectures. 

Job Responsibilities 

• Analyze legacy applications developed using COBOL, SAS, FoxPro, PowerBuilder, mainframe systems, and other legacy technologies. 

• Document business logic, workflows, processing rules, system architecture, data dependencies, and functional requirements. 

• Convert legacy software, statistical programs, and batch processing applications into modern programming languages such as Python, R, or equivalent technologies. 

• Develop modular, maintainable, reusable, and scalable software components supporting long-term modernization objectives. 

• Ensure functional equivalence between legacy and modernized applications through comprehensive validation and testing. 

• Optimize application performance, scalability, reliability, and maintainability throughout the modernization lifecycle. 

• Develop and execute automated unit testing, regression testing, and validation processes to ensure conversion accuracy. 

• Integrate modernized applications with enterprise databases, APIs, cloud services, and microservices architectures. 

• Support data migration, transformation, validation, reconciliation, and quality assurance activities. 

• Collaborate with Data Engineers, Data Scientists, Business Analysts, Software Developers, and subject matter experts to validate business rules and system outputs. 

• Prepare technical documentation, system mapping, conversion specifications, data lineage documentation, and implementation guides in accordance with Federal documentation and Plain Writing standards. 

• Support Agile software development, sprint planning, code reviews, and continuous modernization initiatives. 

Required Qualifications 

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, Computer Engineering, or a related field. 

• Minimum five (5) years of experience in software engineering, application modernization, or legacy system modernization. 

• Experience working with legacy technologies such as COBOL, SAS, FoxPro, PowerBuilder, or comparable enterprise systems. 

• Strong programming experience using Python, R, SQL, or modern programming languages. 

• Strong understanding of batch processing systems, statistical processing, data transformation, and business logic implementation. 

• Experience translating complex legacy business rules into modern software architectures. 

• Experience supporting enterprise application modernization initiatives. 

• Strong written and verbal communication skills. 

• Strong analytical, troubleshooting, and problem-solving abilities. 

Technical Areas 

Legacy Application Modernization 

• Legacy System Analysis 

• Legacy Code Conversion 

• Application Modernization 

• Software Refactoring 

• Business Logic Migration 

• System Reengineering 

• Digital Transformation 

Legacy Technologies 

• COBOL 

• SAS 

• FoxPro 

• PowerBuilder 

• Mainframe Applications 

• z/OS (Preferred) 

Modern Development 

• Python 

• R 

• SQL 

• Modern Software Architecture 

• Modular Application Design 

• Cloud-Native Development 

Data Engineering & Processing 

• ETL Processes 

• Data Transformation 

• Data Validation 

• Batch Processing 

• Statistical Processing 

• Data Reconciliation 

Enterprise Integration 

• REST APIs 

• Microservices 

• Enterprise Databases 

• Data Pipelines 

• Cloud Integration 

Tools & Platforms 

Legacy Technologies 

• COBOL 

• SAS 

• FoxPro 

• PowerBuilder 

• IBM Mainframe 

• z/OS 

Programming Languages 

• Python 

• R 

• SQL 

Data Processing 

• Pandas 

• NumPy 

• Statistical Libraries 

• Batch Processing Frameworks 

Cloud Platforms 

• Microsoft Azure 

• Amazon Web Services (AWS) 

Databases 

• Microsoft SQL Server 

• Oracle Database 

• PostgreSQL 

• IBM Db2 

Version Control 

• Git 

• GitHub 

• GitLab 

Testing & Validation 

• Unit Testing 

• Regression Testing 

• Data Validation Frameworks 

• Automated Testing 

Documentation & Analysis 

• Technical Documentation 

• System Mapping 

• Data Lineage 

• Functional Specifications 

Integration & DevSecOps 

• REST APIs 

• Microservices 

• CI/CD Pipelines 

• Deployment Automation 

Preferred Certifications 

• AWS Certified Data Analytics – Specialty 

• Microsoft Azure Data Engineer Associate 

• Certified Data Management Professional (CDMP) 

• SAS Certified Specialist 

Preferred Qualifications 

• Experience supporting Federal legacy modernization initiatives within agencies such as USDA, Census Bureau, IRS, or similar organizations. 

• Experience modernizing statistical processing applications or analytical systems. 

• Experience supporting large-scale enterprise data migration and transformation initiatives. 

• Experience working with high-volume, sensitive, or mission-critical Federal datasets. 

• Experience supporting cloud migration, application modernization, and enterprise digital transformation programs. 

• Familiarity with Federal software development standards, accessibility requirements, and secure coding practices. 

Work Environment 

• Full-time position. 

• Remote within the United States. 

• Standard business hours Monday through Friday. 

• Occasional travel may be required in support of customer meetings, technical workshops, modernization assessments, and program activities. 

WINTrio Benefits 

• Healthcare (Medical, Dental, and Vision) 

• Flexible Spending Account (FSA) and Health Savings Account (HSA) 

• 401(k) and Retirement Savings Plan 

• Annual Bonus and Profit Sharing Opportunities 

• Paid Time Off (PTO) and Vacation 

• Employee Assistance Program (EAP) 

• Life, Personal, and Voluntary Disability Insurance 

Growth Opportunities 

There is ample opportunity to grow in multiple dimensions, including application modernization, cloud migration, data engineering, artificial intelligence (AI), machine learning (ML), enterprise software engineering, cloud architecture, and business development. We are a completely employee-driven company, and our continued success is built on the talent, dedication, and innovation of our team members. 

Equal Opportunity Employer 

WINTrio LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.