Python & SAS Developer

• 3-5 years of SAS/Python development experience
• Advanced SAS: Data Steps, Macros, SAS SQL, and advanced SAS assets
• Strong Python: DataFrames, data manipulation, and production-ready code
• Cloud: Hands-on Python development i n a cloud/server-based environment
• GitHub Copilot: Practical experience with AI-assisted development
• Data: Strong understanding of data transformation and processing
• Documentation: Able to document technical work and provide clear status updates
• Independence : Able to work effectively in a heads-down development environment
• Communication: Able to clearly explain technical progress to stakeholders

Nice to Have Skills & Experience

• Experience with agentic prompting and advanced GitHub Copilot capabilities
• Experience troubleshooting development environment, server connectivity, architecture, or engineering-related issues
• Experience working in Visual Studio or similar development environments
• Experience supporting large-scale migration or modernization initiatives
• Previous experience working with teams where SAS remains a primary technology used across the organization
• Banking or financial services experience is considered an asset but is not required

Job Description

Insight Global is hiring for a SAS/Python Developer on a 12-month contract for a leading banking client. This is a hybrid role and requires 2x/week on site downtown Toronto (NO REMOTE FLEX).

This role will support the Marketing Analytics team’s migration from SAS Enterprise Guide to Python using Anaconda in a cloud environment (with development in Visual Studio). The focus is hands-on, heads-down coding to convert existing SAS programs (data steps, macros, SAS SQL) into efficient, maintainable Python code (pandas/dataframes), with strong attention to performance and documentation. No predictive modeling is required—this is primarily a migration and engineering-quality coding role.

Time Allocation (Target Split)

• 80%: Coding / migration work (SAS to Python conversion, refactoring, testing)
• 10%: Stakeholder communication (status updates, clarifications with lead/Director)
• 10%: Engineering/support work (documentation, environment/connectivity support, collaboration with team member)

Day-to-Day Responsibilities

• Convert SAS Enterprise Guide programs into Python (Anaconda-based) equivalents
• Translate SAS data steps, macros, and SAS SQL logic into Python/pandas
• Refactor and optimize code for performance (compute-efficient processing)
• Write efficient queries and transformations; avoid compute-heavy approaches
• Apply data engineering best practices (e.g., efficient querying, indexing concepts, runtime considerations)
• Partner with internal project owners to migrate their SAS-based workflows while they retain ownership of outputs
• Lead/own migration delivery for a large, code-heavy initiative from the team’s portfolio
• Produce clear technical documentation (in-code comments and supporting documentation) so the broader team can maintain the migrated assets
• Provide regular, concise status updates and communicate progress/blockers clearly
• Support connectivity and environment-related needs (e.g., connecting to servers, navigating architectural/engineering constraints) as required
• Leverage GitHub Copilot where helpful to accelerate development, while ensuring correctness, clarity, and maintainability

Artificial intelligence tools are used to assist in screening and assessing applicants for this position.

Vacancy: This posting is for a currently vacant role, and the successful candidate will be hired into an existing open position.