Lead SAS/Python Developer (Contract/FTE

Jobgether; Canada; Remote; CAD 140,000 - 200,000; Full time

Benefits offered by this job

Remote work

CST hours overlap

Job summary

Jobgether is seeking a Lead SAS/Python Developer to drive a major data modernization effort from SAS to Python in a fully remote Canada-based role. You will provide hands-on leadership, mentor teams, and guide migration strategies while delivering scalable data pipelines and maintainable analytics solutions.

You will collaborate with business stakeholders and infrastructure teams, align requirements with technical design, and ensure high-quality software across the full development lifecycle.

Qualifications

• Senior-level software development experience with leadership in modernization or migration projects.
• Proficiency in Python (Anaconda) and SAS with SQL.
• Experience migrating SAS programs, datasets, and workflows to Python.
• Experience with relational databases and data platforms.
• Strong Unix/Linux scripting and automation skills.
• Experience with CRON scheduling and automated data pipelines.
• Strong unit testing, debugging, and performance tuning.
• Ability to lead and mentor developers and set coding standards.
• Ability to work across CST hours while remote.

Responsibilities

• Provide technical leadership and hands-on development for SAS-to-Python migration.
• Analyze requirements, design scalable and reliable data solutions.
• Migrate SAS programs and workflows to Python-based environments.
• Develop, test, and maintain Python applications and data pipelines using Anaconda.
• Build Unix/Linux automation scripts and CRON-based workflows.
• Establish coding standards and review code and designs for quality.

Skills

Python

SAS

SQL

Unix/Linux

Leadership

Code reviews

CI/CD

Tools

Anaconda

GitHub Copilot

SAS Enterprise Guide

JupyterHub

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead SAS/Python Developer (Contract/FTE) based in the Canada.

Take a leading role in a large-scale data modernization initiative focused on transitioning legacy SAS workloads to modern Python-based environments. In this hands-on technical leadership position, you will guide migration strategies, modernize analytical workflows, and develop scalable, reliable solutions using Python, Anaconda, SQL, and Unix-based automation. You will work closely with business stakeholders, developers, and infrastructure teams to translate complex requirements into maintainable applications and efficient data pipelines. The role combines software development, technical governance, code quality improvement, and mentorship to ensure successful migration and decommissioning of legacy systems. This fully remote opportunity is available on a contract or full-time basis and requires the ability to collaborate during Central Standard Time (CST) working hours.

Accountabilities

• Provide technical leadership and hands-on development throughout SAS-to-Python migration, legacy system decommissioning, and modernization initiatives.
• Analyze complex business and technical requirements, define implementation strategies, and design scalable, reliable, and maintainable solutions.
• Assess, interpret, and migrate existing SAS programs, datasets, workflows, and analytical processes into Python-based environments.
• Develop, test, debug, and maintain high-quality Python applications, scripts, and data processing solutions using Anaconda and related technologies.
• Build and maintain Unix/Linux-based automation scripts and data pipelines, including scheduled processes using CRON.
• Establish and promote coding standards, development best practices, reusable patterns, and consistent approaches to software quality.
• Conduct code reviews and technical design reviews, provide constructive feedback, and guide developers on implementation decisions.
• Optimize applications and data workflows for performance, scalability, reliability, and long‑term maintainability.
• Identify technical risks, migration dependencies, compatibility challenges, and implementation obstacles, driving issues through to resolution.
• Maintain accurate technical documentation, source code repositories, and version control practices using Git.
• Collaborate with business stakeholders, developers, infrastructure teams, and other technical partners to align migration activities with business objectives.
• Serve as a technical point of contact for migration and development activities, supporting technical decisions and ensuring successful delivery from requirements through implementation.

Requirements:

• Significant senior-level software development experience, including demonstrated technical leadership in complex development, modernization, or migration initiatives.
• Strong hands‑on proficiency in Python, including the Anaconda environment, along with solid experience in SAS and SQL.
• Proven ability to understand, interpret, troubleshoot, and modernize complex SAS programs, datasets, and analytical workflows.
• Experience working with relational databases and data platforms, particularly Netezza and Amazon Redshift.
• Strong Linux/Unix scripting skills and experience building automated data processing workflows.
• Familiarity with CRON scheduling and automation of recurring jobs and processes.
• Strong experience in unit testing, debugging, code optimization, performance tuning, and software quality assurance.
• Experience conducting code reviews, defining development standards, establishing reusable coding practices, and providing technical direction to other developers.
• Ability to take ownership of technical solutions throughout the full development lifecycle, including requirements analysis, design, development, testing, and implementation.
• Excellent analytical thinking, troubleshooting, and problem‑solving skills, with the ability to identify root causes and deliver practical solutions.
• Strong written and verbal communication skills, including the ability to explain technical concepts and recommendations clearly to both technical and business stakeholders.
• Proven ability to collaborate across multidisciplinary teams, manage competing priorities, and maintain a strong focus on accuracy, maintainability, and continuous improvement.
• Ability to work remotely while coordinating effectively with teams operating on CST hours.

Preferred qualifications:

• Familiarity with GitHub and AI‑assisted development tools such as GitHub Copilot.
• Working knowledge of SAS Enterprise Guide and JupyterHub.
• Previous experience leading or contributing to large‑scale SAS-to-Python migration, legacy SAS decommissioning, or analytical platform modernization programs.
• Experience mentoring developers, coordinating technical implementation, and guiding teams through complex engineering challenges.

Benefits:

• Competitive compensation, with specific salary details dependent on the role and employment arrangement.
• Flexible employment options, including contract and full‑time opportunities.
• Fully remote work arrangement for candidates based in the United States or Canada who can support CST working hours.
• Opportunities for career advancement and professional development.
• Employee referral program.
• A flexible, dynamic, and diverse working environment.
• The opportunity to contribute to large‑scale data modernization initiatives and work with experienced professionals on complex technical challenges.