Python & Sas Developer

3-5 years of SAS/Python development experienceAdvanced SAS:
Data Steps, Macros,
SAS SQL, and advanced SAS assetsStrong Python:
DataFrames, data manipulation, and production-ready codeCloud:
Hands-on
Python development i n a cloud/server-based environmentGitHub Copilot:
Practical experience with AI-assisted developmentData:
Strong understanding of data transformation and processingDocumentation:
Able to document technical work and provide clear status updatesIndependence : Able to work effectively in a heads-down development environmentCommunication:
Able to clearly explain technical progress to stakeholdersNice to Have Skills & ExperienceExperience with agentic prompting and advanced GitHub Copilot capabilitiesExperience troubleshooting development environment, server connectivity, architecture, or engineering-related issuesExperience working in Visual Studio or similar development environmentsExperience supporting large-scale migration or modernization initiativesPrevious experience working with teams where SAS remains a primary technology used across the organizationBanking or financial services experience is considered an asset but is not requiredJob DescriptionInsight 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 ResponsibilitiesConvert SAS Enterprise Guide programs into Python (Anaconda-based) equivalentsTranslate SAS data steps, macros, and SAS SQL logic into Python/pandasRefactor and optimize code for performance (compute-efficient processing)Write efficient queries and transformations;
avoid compute-heavy approachesApply 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 outputsLead/own migration delivery for a large, code-heavy initiative from the team’s portfolioProduce clear technical documentation (in-code comments and supporting documentation) so the broader team can maintain the migrated assetsProvide regular, concise status updates and communicate progress/blockers clearlySupport connectivity and environment-related needs (e.G., connecting to servers, navigating architectural/engineering constraints) as requiredLeverage GitHub Copilot where helpful to accelerate development, while ensuring correctness, clarity, and maintainabilityArtificial 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.
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