Build scalable customer data pipelines with SAS, Python, and SQL for Adastra across Canada in a hybrid, two-days-onsite model. Modernize enterprise data platforms supporting analytics and personalization.
As a SAS/Python Developer on Adastra’s Data Engineering team, you will develop and maintain ETL/ELT pipelines across multiple enterprise sources. You will use Base SAS, Macros, PROC SQL, pandas, PySpark, and SQL to transform customer data. The work supports customer analytics, marketing, risk, regulatory initiatives, and trusted Customer 360 assets.
Key Responsibilities: Design and maintain ETL/ELT customer data pipelines
Develop SAS programs for data marts and segmentation
Build Python processing and automation solutions




Migrate SAS processes to Python and Spark
Implement data quality, privacy, and lineage controls
Requirements: Bachelor’s or Master’s degree in a related field
Three-plus years of SAS development experience
Two-plus years of Python development with pandas and SQL
Experience with PySpark or distributed processing frameworks
Robust SQL and enterprise data warehouse experience
Apply SAS, Python, SQL, and data engineering expertise to create reliable customer data assets at Adastra.

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📌 SAS Python Data Engineer (Ontario)
🏢 Adastra
📍 Ontario