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Added 9 hours ago
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Insight Global

SAS/Python Developer

Toronto, ON, Canada

Hybrid

$35 to $45 CAD / hour · Contract

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Job details

Pay: $35 to $45 CAD / hour
Job type: Contract
Workplace: Hybrid
Apply by: Dec 6, 2026
Experience: 3–5 years of SAS/Python development experience
Posting language: English
Posted: Nov 6, 2026

Original job description

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

Pay: $35 - $45/hr

Contract Duration: 12 months

Work Arrangement: Hybrid

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.

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More about this job

Responsibilities

Migrate SAS Enterprise Guide programs, including data steps, macros, and SQL, into efficient, maintainable Python and pandas code, with testing and performance optimization. Document the migrated assets, provide stakeholder updates, and support development environment and connectivity needs.

Requirements

Requires 3–5 years of SAS/Python development experience, advanced SAS skills, strong Python data manipulation capabilities, and hands-on cloud or server-based development experience. Candidates should be able to work independently, document technical work, communicate progress clearly, and use GitHub Copilot; banking experience is an asset but not required.

Skills

SAS
Python
Pandas
SAS Data Steps
SAS Macros
SAS SQL
Data Transformation
Data Processing
Code Refactoring
Performance Optimization
GitHub Copilot
Cloud Development
Technical Documentation
Data Engineering
Anaconda
Visual Studio

Visa sponsorship

Not detected in the job text

Keywords

SAS
Python
Pandas
SAS Enterprise Guide
SAS Data Steps
SAS Macros
SAS SQL
Anaconda
Visual Studio
GitHub Copilot
Cloud Environment
Server-Based Development
Data Migration
Code Refactoring
Performance Optimization
Data Transformation
Data Processing
Data Engineering
Efficient Querying
Indexing
Testing
Technical Documentation
Environment Troubleshooting
Server Connectivity
Marketing Analytics
Banking
Financial Services
Modernization

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