Top Data Engineer Jobs in Toronto

As a Senior Finance Data Engineer, you will design AI-powered finance infrastructure, automate processes, and create self-service data tools for Finance, leveraging your data architecture and engineering expertise.

As a Data Engineer II at Braze, you'll develop and maintain data pipelines, work with stakeholders to understand requirements, and ensure data quality and reliability.

As a Data Engineer at Zapier, you'll build scalable data systems, enhance product functionality through data, and collaborate with teams to improve data access and usability.

As a Senior Data Engineer, you'll build scalable data pipelines, optimize data models, and ensure pipeline performance using Databricks, PySpark, and Kafka while collaborating cross-functionally with Architects and Scientists.

The Data Engineer will develop and manage data pipelines, collaborate cross-functionally, support project execution, and adhere to cloud governance practices in a hybrid work environment.

Prepare and manage data, build ETL/ELT pipelines, and ensure data privacy and compliance for banking systems and related projects.

As a Senior Software Engineer, you will architect and maintain data infrastructure, build scalable data pipelines, and collaborate with cross-functional teams to support business goals.

Develop and maintain scalable data pipelines using Python and SQL, manage Snowflake, deploy applications on OpenShift, and ensure data quality.

As a Data Developer, you will design and maintain scalable ETL pipelines, manage databases, ensure data quality, and collaborate with teams to support business goals.

As a Data Engineer at Lyft, you will develop and scale data pipelines, manage data quality, and support analytics needs while collaborating with teams.

The role involves designing and developing scalable data solutions, ETL processes, and AI functionalities, utilizing strong engineering skills to optimize performance and efficiency in data platforms.

Lead the planning, design, and development of data and AI products, support infrastructure, guide teams, and ensure alignment with business needs.

The Data Engineer will develop and optimize ingestion pipelines, ensure data accuracy, and support automation initiatives for high-volume data workflows.

The Data Engineer designs, builds, and maintains scalable data systems while ensuring data quality and facilitating integration from various sources.

As a Data Engineer at ODAIA, you'll design and implement scalable data solutions, manage customer data integration, and support analytics capabilities while collaborating with cross-functional teams.

The role focuses on building out and expanding Cloudflare's global network, managing datacenter installations, improving infrastructure processes, and facilitating technical deployments.

The Data Engineer is responsible for designing and optimizing data pipelines, ensuring data integration, and collaborating with teams on AI-driven applications.

The Data Engineer will design and maintain ETL pipelines, work with Snowflake for data warehousing, ensure data quality, and collaborate on analytics initiatives.

The Senior Data Engineer will build scalable data systems, optimize data workflows, and collaborate with teams to enhance data-driven decisions.

The Data Engineer will design and maintain data infrastructure and scalable platforms for data processing, collaborating with AI engineers and scientists to support advanced analytics.

As a Data Engineer at Homebase, you'll design, develop, and optimize data pipelines, manage data models, and enable AI-powered features, ensuring scalable and reliable data processes. You'll also partner with teams to drive continuous improvement and own projects from planning to execution.

As a Data Engineer, you will design and maintain data pipelines, ensure data quality, collaborate with teams, and automate workflows in a cutting-edge AI platform.

As a Principal Consultant, you will lead client engagements in data engineering, manage projects, mentor junior engineers, and implement data solutions using Databricks, AWS, and Azure.

This role involves developing and maintaining data pipelines, collaborating with various teams, and leveraging AI for data-driven insights to support business operations.

The Manager, Data Engineer will lead and advise on data strategy and architecture, oversee data transformation projects, and mentor teams while ensuring delivery of robust data solutions.