Senior SAS Python Data Modernization Lead

Transform legacy SAS workloads into scalable Python environments remotely from Canada, using Anaconda, SQL, and Linux automation. Strengthen analytical workflows through technical governance.

As a senior technical lead, you will modernize applications, data processes, and analytical workflows across a large-scale initiative. You will translate complex requirements, assess SAS assets, and build reliable solutions using Python, relational databases, and Unix-based automation. This contract or full-time position supports collaboration during CST hours.

Key Responsibilities:

• Assess and migrate SAS programs, datasets, and workflows
• Translate business requirements into maintainable applications
• Optimize workflows for performance and long-term reliability
• Establish coding standards and reusable development patterns
• Maintain documentation, Git repositories, and version control

Requirements:

• Hands-on Python development experience using Anaconda
• Solid SAS and SQL experience with complex analytical processes
• Relational database experience, including Netezza and Amazon Redshift
• Unit testing, debugging, optimization, and performance tuning experience
• Strong stakeholder communication and analytical problem-solving skills

Bring SAS modernization, Python engineering, database knowledge, and quality-focused governance to a remote data transformation initiative.