Sr Data Engineer - Toronto/Waterloo

Design and deploy comprehensive data architecture, build resilient ETL/ELT pipelines, implement data quality frameworks, and collaborate with data scientists to enable advanced analytics and predictive modeling.

Requirements

• 8+ years of hands-on ETL/ELT pipeline development across varied data sources
• Strong programming skills in Python, Scala, or Java
• Experience with modern data platforms — Snowflake, Databricks, Apache Spark, Kafka, Airflow
• Cloud platform experience — AWS, Azure, or GCP and their native data services
• Experience with real-time data processing and streaming architectures
• Solid data modeling, warehousing, and dimensional modeling fundamentals
• Knowledge of containerization and orchestration (Docker, Kubernetes)
• Practical knowledge of MCP and AI-assisted development tools
• Familiarity with DataOps and MLOps practices
• Experience managing sensitive/PII data with attention to compliance and governance
• Strong communication skills across technical and non-technical stakeholders

Benefits

• Full benefits
• Bonus
• Pension
• Medical/dental/vision
• Generous PTO
• Paid parental leave