Top Data Engineer Jobs in Toronto

As a Senior Data Engineer, you will develop and maintain end-to-end data pipelines, manage data integration, and enhance data architecture while collaborating across teams in a fast-paced environment.

The Staff Data Engineer will build and maintain large-scale data pipelines, define data models, and establish data quality and governance frameworks, collaborating with business units and engineering teams.

The Data Engineer will collaborate with the Client Reporting team to develop and maintain reporting processes, enhance applications for client reporting, and assist in the transformation of legacy applications for cloud adoption.

The Data Engineer will build and optimize data pipelines, partner with teams to ensure infrastructure supports health outcomes, maintain data integrity, and mentor others in a growing team.

Design and maintain scalable ELT/ETL data pipelines to process large volumes of data, ensuring quality, integrity, and efficiency across platforms.

The Azure Data Engineer will design, build, and maintain data solutions using Azure technology, optimizing data processes and collaborating with stakeholders to develop data extraction and transformation pipelines.

As a Data Engineer at Lyft, you will build and manage scalable data pipelines, improve data models, ensure data quality, and enhance data processing performance while collaborating with analytics teams.

As a Senior Data Engineer, you will build and maintain a cloud-based data stack, develop analytics products, and ensure data integrity.

As a Data Engineer at Travelers, you will build and operationalize data solutions, analyze complex data sources, and ensure data quality to support AI and ML projects.

The Data Engineer will develop and maintain ML data pipelines, manage ETL workflows, ensure data quality, and collaborate with ML teams.

As a Data Engineer at Tiger Analytics, you will design, build, and maintain data pipelines and data infrastructure. You will work closely with data scientists and analysts to enable data-driven decision-making and ensure efficient data flow across the organization.

The Data Engineer will architect and implement analytics capabilities, manage complex datasets, build pipelines, and generate business insights.

A Data Engineer position responsible for building data pipelines, harmonizing data sources, and extracting insights using Azure technologies and strong programming skills.

The Data Engineer will gather, curate, and analyze large datasets, ensuring quality and integrity, while communicating insights to stakeholders through visualizations and reports.

As a Data Engineer, collaborate on data pipeline development, design scalable architectures, manage ETL processes, and ensure data system reliability.

Design and develop data models in Snowflake, implement ETL processes, and support Guidewire Claims workflows with SQL querying and cloud integration.

The Quantitative Data Engineer will maintain investment content, develop data products, and build data pipelines to support investment teams.