12 month contract
Hybrid 2x per week in office
Pay: $49/hr T4 $56/hr incorp
Required Skills & Experience
- 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 in 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.
