Iris Software Inc. is looking for a Data Engineer with expertise in designing, building, and optimizing scalable data pipelines. In this hybrid role, you will work 3 days onsite per week in Toronto, collaborating closely with cross-functional teams, including Data Scientists and Analysts, to ensure efficient data flow across systems. Key responsibilities include developing data processing pipelines using PySpark and Databricks, orchestrating workflows with Apache Airflow, and ensuring compliance with data security standards. Candidates should have a degree in Computer Science or a related field, alongside 7 years of experience in data engineering, with a strong understanding of data governance and excellent communication skills.