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 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.

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, you'll architect and optimize data pipelines using Azure Databricks, ensuring data quality and collaboration with analytics teams to support advanced initiatives.

The Data Engineer will design, develop, and maintain data pipelines in the banking domain, ensuring data quality and compliance while collaborating with stakeholders.

The Data Engineer will design and maintain data models and ETL pipelines, support data strategy initiatives, and ensure data quality within an Azure environment.

The Data Engineer will build and maintain data pipelines, improve data models, and support internal users in analytics, collaborating cross-functionally to meet business goals.

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.

Join CrowdStrike as a UI engineer to build an advanced data visualization framework, collaborating with interdisciplinary teams and enhancing user experiences in cybersecurity.

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.

The Data Engineer will design and implement SQL pipelines, develop Python applications for data processing, and manage real-time streaming data with RisingWave and Apache Kafka, while optimizing database performance and orchestrating workflows on GCP.

As a Data Engineer, you'll design and implement end-to-end conversational solutions using Google LLMs, lead Dialogflow CX deployments, and integrate technology with client systems. Your role will involve hands-on development and working in a collaborative environment to tackle complex challenges.

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 Data Engineer will design, develop, manage data pipelines, automate infrastructure using Terraform, collaborate with teams for compliance, and improve data solutions.

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, you will design and implement scalable data pipelines, support AI solutions, optimize performance, and collaborate with stakeholders for data provisioning.

As a Data Engineer II, you'll perform data analysis, manage data lifecycle, develop ETL frameworks, and support stakeholders with data insight while coordinating with various technology teams.

Design and build data integration pipelines using Informatica and AWS. Collaborate with teams to translate business needs into data solutions while maintaining cloud-based applications and participating in all development phases.

The role involves managing analytics platforms, providing technical guidance, collaborating with teams, executing capacity planning, and supporting cloud initiatives.

The Data Engineer will provide technical support and deployment expertise, review data designs, and ensure code quality while collaborating with international teams on a strategic data initiative.

The Data Engineer II will perform data engineering functions such as data modeling, ETL, and data quality management while collaborating with various teams and maintaining compliance with data standards.

The Data Engineer will develop and maintain applications for tax reporting, modernize data systems, and ensure data integrity while collaborating with various teams.

Design, build, and scale cloud-first data pipelines, manage ELT/ETL workflows, ensure data quality and security, optimize performance, and enable Analytics/Product teams through robust data infrastructure.

As a Data Engineer at CIBC, you'll collaborate on BI services, design infrastructure, automate processes, and deliver impactful BI solutions to support business intelligence efforts.