Intermediate to senior-level development experience; Lead-level experience for designated openings considered.
Proficiency in Python (including Anaconda), SQL, and SAS.
Experience with relational databases like Netezza and Redshift.
Strong Linux/Unix scripting skills.
Experience with CRON scheduling and automation.
Familiarity with unit testing, debugging, and code optimization.
Strong analytical and problem-solving abilities.
Responsibilities
Analyze business and technical requirements to design scalable solutions.
Interpret and migrate SAS programs, datasets, and processes to Python-based environments.
Develop, test, and maintain high-quality Python applications and scripts.
Build and support Unix-based automation and data processing pipelines.
Optimize applications for performance, scalability, and reliability.
Maintain technical documentation and source code repositories using Git.
Collaborate with business stakeholders, developers, and infrastructure teams to achieve migration and modernization goals.
Benefits
Opportunity for advancement and career progression.
Successful referral program.
Work with one of Canada's 50 Best Managed Companies.
Satisfaction of working for a reputable company.
Flexible, dynamic, and diverse workplace.
Full Job Description
Overview
Adastra is seeking a SAS/Python Developer to support a large-scale modernization initiative focused on migrating legacy SAS-based workloads to Anaconda/Python. In this role, you will support SAS decommissioning through application migration, automation development, governance activities, and modernization of analytical processes. You will work across technical and business teams to migrate or retire active SAS workloads while improving the scalability, reliability, and maintainability of analytical solutions.
Primary Location: Across Canada or USA (must be able to work Central (CST) hours)
Work Model: Fully Remote
Employment Type: Contractor or Full-Time
Vacancy Status: New
RESPONSIBILITIES
Analyze business and technical requirements to design scalable solutions
Interpret and migrate SAS programs, datasets, and processes to Python-based environments
Develop, test, and maintain high-quality Python applications and scripts
Build and support Unix-based automation and data processing pipelines
Optimize applications for performance, scalability, and reliability
Maintain technical documentation and source code repositories using Git
Collaborate with business stakeholders, developers, and infrastructure teams to deliver migration and modernization objectives
QUALIFICATIONS, SKILLS & EXPERIENCE
Intermediate to senior-level development experience, with Lead-level experience considered for designated Lead openings
Proficiency in Python, including Anaconda, as well as SQL and SAS
Experience with relational databases, including Netezza and Redshift
Strong Linux/Unix scripting experience
Experience with CRON scheduling and automation
Experience with unit testing, debugging, and code optimization
Strong analytical and problem-solving skills
Effective written and verbal communication skills
Ability to collaborate across technical and business teams
Commitment to code quality, accuracy, and continuous improvement
Ability to work within CST hours is preferred
NICE TO HAVE
Familiarity with GitHub and GitHub Copilot
Working knowledge of SAS Enterprise Guide
Working knowledge of JupyterHub
Experience supporting SAS-to-Python migration or SAS decommissioning initiatives
WHAT WE OFFER
Opportunity for advancement and career progression
Competitive compensation
Successful referral program
The opportunity to work with one of Canada's 50 Best Managed Companies
