Top Data Engineer Jobs in Toronto

As a Staff Software Engineer, you will develop and maintain data pipelines on a scalable SaaS platform, focusing on performance and analytics related to large datasets and ETL processes.

As a Staff Data Engineer, you will design distributed data systems, build scalable data pipelines, and ensure performance optimization and data governance.

As a Staff Data Engineer at Cloudbeds, you will design and implement scalable data systems using various technologies, optimizing performance and ensuring data security while collaborating with cross-functional teams to drive innovation.

The Staff Data Engineer will design large-scale data systems, create data pipelines, and implement performance optimizations using distributed systems and various technologies, while collaborating with a remote team.

In this role, you'll design and implement large-scale distributed data processing systems, creating robust data pipelines while ensuring scalability and security for processing billions in bookings.

Build and optimize data pipelines for user vote data, ensuring data quality and scalability to advance AI model evaluations. Collaborate with teams to deliver insights and analytics.

The Senior Data Platform Engineer will manage and develop the data infrastructure on Databricks and AWS, ensuring scalable and efficient data capabilities while collaborating across teams.

The Staff Data Engineer will lead the technical vision and architecture of data engineering, develop pipelines, and mentor junior engineers while working with cloud environments and various data tools.

Lead a data development team to enhance data products using cloud-based data warehouses. Collaborate with various teams to meet data needs and maintain code quality.

The role requires developing solutions using IBM DataPower, with a focus on creating WSP, XFW, MPGW, and managing certificates and encryption. Candidates should have strong skills in troubleshooting and working with various DataPower devices.

As a Senior Engineer on the Data Platform team, you will design and build data pipelines and optimize storage systems to enhance analytics and machine learning capabilities.

The Senior Software Engineer will develop the data platform, build services, improve operational excellence, and mentor other engineers in a data-intensive environment.

Collaborate with teams to build data pipelines, maintain infrastructure, oversee data integrity, and adapt to new technologies as part of the Data Engineering team.

The Senior Software Engineer will design and maintain data infrastructure, optimize data systems, and work with cross-functional teams to deliver innovative solutions.

As a Full-Stack Engineer at Labelbox, you will develop and maintain AI tools, focusing on data training systems, intermediate user interfaces, scalable architectures, and work in a collaborative, fast-paced environment.

As a Senior Data Engineer, you will build scalable data pipelines, manage cloud infrastructure, and support analytics and data science teams, leveraging various technologies to deliver impactful solutions for clients.

As a Forward Deployed Engineer, you will design scalable data pipelines, optimize code for data processing, and collaborate with AI teams to meet their data needs.

The Senior Reliability Engineer will enhance the reliability of data and cloud platforms, monitor workloads, optimize ETL workflows, and automate processes to support retail operations.

As a Data Engineer at Northbeam, you will develop and maintain scalable data pipelines, optimize data ingestion, and provide technical leadership in a cross-functional team.

As a Staff Software Engineer, you'll scale datastores, manage data migrations, ensure query performance, and design systems for event-driven architecture, while mentoring engineers and improving the data stack.

The role involves designing scalable data architectures, improving system efficiency, modeling data, promoting best practices, and participating in on-call rotations to resolve reliability incidents.

The Data Operations Engineer will optimize and maintain data labeling workflows, automate tasks, and ensure quality in data annotation processes.

The Staff Data Engineer will design data pipelines, optimize ETL processes, and collaborate with various teams to enhance data-driven solutions for senior living technology.