Sr Data Engineer - Toronto/Waterloo

Senior Data Engineer Hybrid | Waterloo or Toronto, ON (must be locally based) The Role Senior IC role on a data innovation team responsible for designing, building, and operating the data architecture that powers analytics, ML/AI initiatives, and business intelligence across a large-scale consumer software platform. You'll work at the intersection of data engineering, data science, and data quality — partnering closely with stakeholders, data scientists, and product teams. Responsibilities • Design and deploy comprehensive data architecture capturing structured and unstructured data from diverse internal and external sources • Build resilient ETL/ELT pipelines routing data across cloud structures, local databases, and other storage forms • Implement data quality frameworks — validation, monitoring, and automated recovery strategies • Collaborate with data scientists to enable advanced analytics, predictive modeling, and ML initiatives • Develop web-enabled, self-service analytics solutions that democratize data access company-wide • Apply AI/ML and big-data techniques to automate data cleansing, transformation, and enrichment • Leverage MCP (Model Context Protocol) to connect enterprise applications and automate data flows • Ensure secure, scalable, and compliant data ingestion with appropriate PII handling • Troubleshoot pipeline issues, optimize performance, and participate in on-call rotations • Mentor junior team members and contribute to data engineering practice growth Requirements • 8+ years of hands-on ETL/ELT pipeline development across varied data sources • Strong programming skills in Python, Scala, or Java (production-quality code) • 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 Preferred • Background in data science or analytics • Experience in client-facing or Professional Services roles Compensation $130,000 - $175,000 + ~15% bonus. Full benefits. The Company Well-established consumer software company with a large global footprint. Strong benefits: bonus, pension, medical/dental/vision, generous PTO, and paid parental leave. Compensation The base pay range for this role is CA$130,000 – CA$175,000 per year.

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