Top Data Engineer Jobs in Toronto

Responsible for building and maintaining reliable infrastructure, automating processes, ensuring security compliance, and participating in incident response as a Staff Site Reliability Engineer (SRE).

Join an AI-driven research project as a Frontend Developer, designing and building user-friendly web applications using modern JavaScript frameworks and strong UI/UX principles.

The Sr. AI Engineer will deploy and manage machine learning models, integrate AI with BI systems, and transform data into actionable business insights, impacting strategic decisions.

This role involves designing, building, and maintaining data integration and analytics infrastructure using Microsoft Azure, focusing on hands-on engineering and solution architecture.

The Senior Data DevOps Engineer will design and maintain automated pipelines, support reliable operations of data platforms, and ensure system stability and compliance. Collaboration with various teams is essential to improve practices and communicate risks effectively.

The Software Engineer II will design and optimize distributed systems for processing metadata, collaborating closely with cross-functional teams to integrate machine learning models into production pipelines.

As a Software Engineer on the Semantic Data Modeling team, you'll develop data models, collaborate on data transformations, and improve data standardization and schema enforcement.

As a Senior Software Engineer, you will own data framework integrations, contribute to high-performance database engineering, and enhance developer experience in JVM-based environments.

The Developer will design, develop, and maintain interactive dashboards, manage data integration, and analyze performance metrics to provide actionable insights.

As a Senior Data Engineer, you will design and operate data systems, mentor engineers, and optimize data pipelines using cloud technologies.

The Senior DevOps Developer will design and manage infrastructure and CI/CD pipelines to enhance development processes. A focus on innovative solutions is required.

The Senior Data Engineer will design and expand data infrastructure, create data pipelines, and integrate diverse data sources while mentoring junior engineers and collaborating with teams on scalable data solutions.

The Senior Data Engineer will build and maintain the data platform, develop data pipelines, improve observability, and collaborate with teams in a cloud-based data environment.

This role involves designing and implementing scalable data architectures, optimizing data systems, and collaborating with various teams on data-related projects.

As a Senior Data Solution Architect, you'll design and implement scalable data solutions, manage key data domains, and ensure data quality while collaborating with stakeholders to meet business needs.

As a Data Engineer, you will manage data pipelines, optimize data models and ETL processes, and collaborate across teams to enhance data-driven decision-making for Lyft's Urban Solutions.

The Senior Data Engineer will design data infrastructure, oversee data processing, maintain data quality, and collaborate with teams to enhance our data management capabilities.

The Senior Data Engineer will design, build, and maintain scalable data pipelines and infrastructure, ensuring secure systems and data integrity while mentoring others.

As a Senior Data Engineer, you will design and maintain data pipelines, support teams through data access, and enhance data infrastructure and analytics processes to drive business growth.

The Staff Data Engineer will design and maintain scalable data pipelines, lead a team of engineers, and ensure data integrity and governance at Jobber.

Lead the design and development of a data platform, integrating data sources, driving architecture migration, and ensuring robust data governance and API development.

As a Senior Data Developer, you will create infrastructure-as-code pipelines, automate file processing, develop ETL solutions, and generate reports and analytics to support various departments.

The role involves designing data pipelines and models for Stripe's Growth and Marketing teams, ensuring data integrity and performance metrics. Collaboration with various teams to enhance data visibility and support is crucial.

Collaborate with engineers to build AI design systems, optimize data infrastructure, and manage large-scale distributed systems for model development.

As a Staff Data Engineer, you'll design data models and pipelines, mentor engineers, and lead initiatives to enhance Scribd's data platform, ensuring quality and scalability.