SAS/Python Developer (Contract/FTE, Remote)

Adastra Corporation; Markham; Remote; CAD 90,000 - 130,000; Full time

Benefits offered by this job

Career progression

Competitive compensation

Referral program

One of Canada's 50 Best Managed Firms

Job summary

Adastra Corporation is seeking a SAS/Python Developer to support a modernization initiative migrating legacy SAS workloads to Python. The role is fully remote with the option of contractor or full-time employment across Canada or USA, aligned to CST hours.

You will design scalable solutions, migrate SAS programs, develop Python apps, and build automation pipelines while collaborating across tech and business teams. Strong Python/Anaconda, SQL and SAS skills are required.

Qualifications

• Intermediate to senior development level with lead opportunities.
• Proficiency in Python/Anaconda, SQL and SAS.
• Experience with relational databases such as 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; good communication.
• Ability to collaborate across technical and business teams.
• Willingness to work CST hours is preferred.

Responsibilities

• Analyze business and technical requirements to design scalable solutions.
• Migrate SAS programs, datasets, and processes to Python-based environments.
• Develop, test, and maintain Python applications and scripts.
• Build and support Unix-based automation and data pipelines.
• Optimize applications for performance, scalability, and reliability.
• Maintain technical documentation and Git repositories.
• Collaborate with stakeholders, developers, and infrastructure teams to meet migration objectives.

Skills

Python/Anaconda

SQL

SAS

Linux/Unix scripting

CRON automation

Unit testing

Debugging

Code optimization

Cross-team collaboration

Tools

Netezza

Redshift

Git

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 optimizationStrong 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 GuideWorking knowledge of JupyterHub
• Experience supporting SAS-to-Python migration or SAS decommissioning initiatives

ABOUT ADASTRA

Adastra is a global leader in AI and data-driven transformation, helping organizations lead with artificial intelligence - responsibly, strategically, and at scale. With over 25 years of experience, Adastra empowers enterprise clients to unlock business value through data innovation, operational excellence, and smart customer engagement.

Trusted by some of the world's most prominent brands, Adastra delivers end-to-end solutions grounded in thoughtful strategy, robust governance, and deep technical expertise. From defining vision to ensuring execution, Adastra guides organizations through every stage of their AI, data and cloud journey - building future-ready capabilities and delivering measurable, lasting impact.

Adastra serves clients across key industries including financial services, automotive, manufacturing, technology, media and telecom (TMT), healthcare, retail, and professional services. The company employs more than 2,000 professionals across North America, Europe, and Asia.

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
• Satisfaction of working for a reputable company
• A flexible, dynamic, and diverse workplace

EQUAL OPPORTUNITY EMPLOYER

In our commitment to promote fair and equitable treatment of all employees and applicants, Adastra Corporation provides equal employment opportunities for all individuals regardless of age, sex, disability, race, ethnic origin, citizenship, creed, sexual orientation, marital status, or any other ground as described in the Ontario Human Rights Code.In addition, accommodation will be provided during the hiring process. Adastra Corporation's implementation and support of employment initiatives, encourage diversified labour force participation and equal access to opportunities based on merit and performance.