SAS / Python Developer at Iris Software Inc. — NeverHard

SAS / Python Developer - T4 only Location: Toronto ON (Hybrid - 3 Days/Week) Primary Skills SAS, Python, Migration Primary Experience 7+ years of Experience in SAS, Python Seeking an experienced SAS / Python Developer to join data modernization and migration team. In this role, you will be responsible for analyzing, converting, optimizing, and modernizing legacy SAS-based analytical workflows, data steps, macros, and reports into scalable, production-ready Python environments. You will work closely with data architects, business stakeholders, and infrastructure teams to ensure code accuracy and parity during the transition. Key Responsibilities Key ResponsibilitiesCode Migration & Translation: Interpret and convert legacy SAS programs (including Base SAS, DATA steps, SAS macros, and PROC SQL) into modular, efficient Python scripts. Data Processing & Pipelines: Build, maintain, and optimize data ingestion, transformation, and processing pipelines using Python data manipulation libraries (pandas, NumPy) and SQL. Validation & Testing: Perform side-by-side output validation and debugging between legacy SAS outputs and new Python implementations to ensure statistical and logical parity. Automation & Infrastructure: Support Unix/Linux-based automation, schedule jobs via CRON or enterprise orchestrators, and work within containerized or cloud-based Anaconda/JupyterHub environments. Code Quality & Documentation: Maintain clean version control using Git/GitHub, write unit tests, and produce thorough technical documentation for migrated pipelines. Required Qualifications Required QualificationsEducation: Bachelor's or master's degree in computer science, Data Engineering, Statistics, or a related quantitative field. SAS Experience: 3+ years of hands-on development with Base SAS, SAS Macros, and PROC SQL. Python Experience: 2+ years of production Python development, with strong proficiency in pandas, data wrangling, and relational SQL. Environment & Tools: Experience working in Anaconda environments, Git/GitHub, and Linux/Unix shell scripting. Analytical Skills: Strong debugging, root-cause analysis, and side-by-side data validation capabilities. #J-18808-Ljbffr