Top Data Engineer Jobs in Toronto

As a Data Engineer, you will design and build data infrastructure, ensuring data continuity, modernizing data systems, and collaborating with teams to optimize data workflows.

The role involves providing remote technical support, diagnosing and resolving incidents, ensuring service levels are met, and maintaining technical documentation.

Lead the design and delivery of scalable data pipelines and AI workflows, collaborating with teams to integrate AI components and ensure data quality.

The role involves building scalable data platforms, designing ETL pipelines, collaborating with cross-functional teams, ensuring data quality, and mentoring others in data engineering best practices.

The Big Data and SQL Developer is responsible for designing and implementing scalable Big Data solutions, mentoring engineers, and engaging with stakeholders, balancing technical tasks with leadership duties.

As a Senior Data Engineer, you will design and maintain data pipelines, optimize data models, and collaborate with teams to support analytics initiatives, using Azure and Databricks.

Develop and manage full stack big data applications, provide technical leadership, and collaborate with cross-functional teams to ensure integrated system processes.

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.

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

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

Lead applications systems analysis and programming activities, design and maintain ETL processes, optimize data pipelines, and ensure data quality.

Lead the design and development of big data platforms using Scala and Spark, mentor engineers, and collaborate with teams to deliver scalable solutions.

The Senior Data Engineer will design and optimize data pipelines, lead technical initiatives, and collaborate with stakeholders to develop scalable data solutions.

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.

Design and build scalable distributed ingestion services; maintain event pipelines and collaborate with multiple teams. Ensure system reliability and improve code practices.

The Lead Data Engineering Developer oversees the design, development, and optimization of data solutions while ensuring data quality and governance, mentoring juniors, and implementing best practices in data engineering.

The Senior Data Engineer will build and optimize data pipelines, ensuring operational data excellence, supporting governance, and enabling analytics. This includes working with large datasets and cloud-native tools to enhance performance and governance of the data ecosystem.

The AWS Cloud Developer is responsible for designing, developing, and optimizing real-time and batch data platforms on AWS, collaborating with teams to ensure high-quality data pipelines and implementing best practices.

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

The AI Data Engineer will build scalable data pipelines, design systems for data processing, and manage the lifecycle of AI agents, focusing on unstructured data such as video and audio.

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

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

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