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Iris Software Inc.

SAS / Python Developer

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 29, 2026
Posting language: English
Posted: Oct 30, 2026

Original job description

We have Immediate requirement with our Direct Client as SAS / Python Developer @ Toronto ON (Hybrid - 3 Days/Week). if you are interested, Please share your updated resume to nakka.prasad@irissoftware.com

Title: SAS / Python Developer - T4 only

Location: Toronto ON (Hybrid - 3 Days/Week)

Primary Skills: SAS, Python, Migration

Description:

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 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 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.

Satya Prasad Nakka

Iris Software

200 Metroplex Drive, Suite #300

Edison, NJ 08817

Mobile: 732-426-9380

www.irissoftware.com

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More about this job

Responsibilities

Convert and modernize legacy SAS programs, macros, data steps, and reports into efficient, production-ready Python workflows and data pipelines. Validate outputs for parity, support automation and scheduling, and maintain code quality, testing, version control, and technical documentation.

Requirements

The role requires 7+ years of SAS and Python experience, including hands-on Base SAS, SAS Macros, and PROC SQL development, as well as production Python skills with pandas, data wrangling, and relational SQL. Candidates should have a bachelor's or master's degree in a relevant quantitative field and experience with Anaconda, Git/GitHub, Linux/Unix scripting, debugging, and data validation.

Skills

SAS
Python
Data Migration
Base SAS
SAS Macros
PROC SQL
Pandas
NumPy
Data Pipelines
Relational SQL
Linux/Unix
Shell Scripting
Git/GitHub
Data Validation
Unit Testing
Anaconda

Visa sponsorship

Not detected in the job text

Hiring contact

Satya Prasad Nakka

Hiring contact email

nakka.prasad@irissoftware.com

Keywords

SAS
Python
Data Modernization
Data Migration
Base SAS
SAS DATA Steps
SAS Macros
PROC SQL
Pandas
NumPy
Data Ingestion
Data Transformation
Data Processing Pipelines
Relational SQL
Unix/Linux
CRON
Enterprise Orchestrators
Anaconda
JupyterHub
Git
GitHub
Unit Testing
Output Validation
Debugging
Root-Cause Analysis
Statistical Parity
Technical Documentation
Containerized Environments
Cloud-Based Environments

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