Job Details

Senior SAS Software Engineer IV (Modernization & Discovery Focus)
Remote (MST, CST, EST)
6- month contract
Pay Rate: $80.00 - $85.00per hr.

Our client needs a Senior SAS Software Engineer to support and modernize a long-standing SAS environment within a large financial services organization. This is not simply a maintenance role. This position will lead deep discovery efforts across a 20+ year legacy SAS ecosystem, document business and technical workflows, and provide recommendations for modernization and potential migration to more sustainable technologies. The ideal candidate brings strong hands-on SAS expertise, experience navigating legacy systems, and the ability to make thoughtful architectural recommendations.

SAS Environment Stabilization

• Analyze and maintain 20+ years of legacy SAS jobs
• Read and interpret complex SAS code
• Support batch processing workflows and mainframe file ingestion
• Assist with production support as needed

Discovery & Documentation (Major Deliverable)

• Identify system owners and stakeholders
• Engage business and technology partners to understand job purpose
• Map dependencies, integrations, and reporting outputs
• Document job flows, data movement, and business logic
• Clarify why processes exist and who consumes outputs

Modernization & Recommendations

• Evaluate replacement options using existing enterprise tools
• Provide technology recommendations aligned to corporate standards
• Identify opportunities to migrate SAS processes to modern platforms
• Contribute to architectural direction and transition planning

Required Skills:

• 5-7+ years of hands-on SAS programming experience (Statistical Analysis System)
• Experience maintaining and interpreting legacy SAS environments
• Strong background in batch processing and data transformation
• Ability to work independently in lightly documented systems
• Strong analytical and documentation skills
• .NET / C# or C++ development experience

Bonus Skills:

• Experience migrating from SAS to another technology stack
• SQL Server and/or Oracle exposure
• Experience with SSRS or Power BI reporting
• Familiarity with data lakes or AWS/cloud platforms
• Financial services or banking industry experience (preferred, not required)
• Bachelor's degree preferred (experience may substitute)