Top Data Engineer Jobs in Toronto

The Staff Data Engineer will design and implement scalable data pipelines and systems to solve complex problems involving data, machine learning, IoT, and cloud infrastructure. This role includes contributing to enterprise architecture and collaborating with engineers to propose technical solutions that integrate with ecobee’s broader systems.

Design, build, and maintain scalable ETL/ELT pipelines for data ingestion and transformation. Implement solutions to support analytics and machine learning, integrating diverse data sources and developing data warehousing solutions. Optimize data workflows and monitor infrastructure performance while collaborating with teams to ensure high-quality data solutions.

As a Senior Data Engineer, you'll design and maintain ETL pipelines for healthcare data, optimizing architecture, ensuring data quality, and implementing security measures. You will mentor junior engineers, troubleshoot data issues, and document processes while collaborating with various teams to meet data requirements.

Develop event-driven distributed systems, build internal tools and libraries, create streaming data pipelines, oversee data systems design and maintenance, collaborate with team for SLOs, maintain and expand systems infrastructure.

As a Senior Data Engineer (Reasoning ML) at a company specializing in autonomous vehicles, you will be responsible for creating and curating datasets for training and evaluating ML planner components. You will build effective data analysis tools, work on ML model development, and actively participate in operational support for the team. Responsibilities also include developing data pipelines, implementing metrics, leveraging the Oxa Metadriver™ platform, and contributing to hiring and onboarding new team members.