SAS Python Migration Developer
Iris Software Inc.
Modernize SAS workflows with Python and migration expertise as a Toronto-based hybrid developer working three days weekly onsite. Transform legacy analytics into production-ready environments. This experienced SAS Python Developer supports a data modernization and migration team. The work includes converting SAS programs, DATA steps, macros, PROC SQL, and reports into modular Python. You will collaborate with data architects, business stakeholders, and infrastructure teams to maintain accuracy and parity. Key Responsibilities:
Convert legacy SAS programs into efficient Python scripts Build and optimize ingestion, transformation, and processing pipelines Validate outputs between SAS and Python implementations Support Linux automation, CRON scheduling, and containerized environments Maintain Git documentation and unit tests Requirements:
Seven or more years of SAS and Python experience Three or more years developing Base SAS, macros, and PROC SQL Two or more years producing Python applications Proficiency with pandas, data wrangling, and relational SQL Bachelor’s or master’s degree in a related quantitative field Apply SAS, Python, validation, and migration skills while modernizing analytical workflows in Toronto’s hybrid development environment.
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Convert legacy SAS programs into efficient Python scripts Build and optimize ingestion, transformation, and processing pipelines Validate outputs between SAS and Python implementations Support Linux automation, CRON scheduling, and containerized environments Maintain Git documentation and unit tests Requirements:
Seven or more years of SAS and Python experience Three or more years developing Base SAS, macros, and PROC SQL Two or more years producing Python applications Proficiency with pandas, data wrangling, and relational SQL Bachelor’s or master’s degree in a related quantitative field Apply SAS, Python, validation, and migration skills while modernizing analytical workflows in Toronto’s hybrid development environment.
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Reference: WJ-3875_16151690 · Posted 11 Nov 2026, 08:18 PM