Top Data Engineer Jobs in Toronto

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

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.

Architect and maintain marketing databases and pipelines, implement data infrastructure for AI/ML, and manage data integration in a collaborative environment.

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

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

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

The Senior Data Engineer will develop data strategies, design data pipelines, support data scientists, and deploy ML solutions to mitigate cyber vulnerabilities.

As a Data Engineer at AIR MILES, you will optimize data architecture, enhance data flows, and support analytical platforms for decision-making using big data technologies.

As a Junior Data Engineer, you will design and implement data pipelines, optimize workflows, and support analytics using AWS and GCP, along with data visualization tools like Google Looker and Tableau.

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.

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

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.

As a Data Engineer, you will design and implement scalable data pipelines and solutions, collaborate with teams, and apply new technologies in an Agile environment.

The Data Engineer will design scalable data pipelines, manage data solutions, collaborate with teams, and ensure project delivery on time while applying new technologies.

Design, develop, and maintain scalable data pipelines using Snowflake and Pyspark, ensuring data quality and compliance in banking operations.

As a Data Engineer, you'll build and maintain data pipelines, optimize infrastructure, and ensure data accuracy, collaborating with data scientists and analysts.

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

The Senior Associate Data Engineer designs, builds, and maintains data systems, focusing on efficient data processing and architecture. Responsibilities include optimizing ETL processes, ensuring data quality, and providing technical guidance to junior engineers while collaborating with cross-functional teams.

The Data Engineering Lead oversees the design and implementation of data systems, ensuring performance and governance while mentoring junior engineers.

The AI Data Engineer Intern will support applied AI projects, focusing on automation and workflows, utilizing NLP techniques and data engineering methods. Responsibilities include developing AI workflows, working with data sources, and collaborating with teams on AI applications.

The Principal Data Engineer will lead the design and implementation of streaming data pipelines, drive technical direction, mentor engineers, and ensure best practices in data governance and observability, focusing on real-time and batch data solutions.

The Senior AI Data Engineer will design and implement AI agents, develop scalable systems, integrate machine learning models, and collaborate with cross-functional teams to enhance AI capabilities and automate tasks.