Top Data Engineer Jobs in Toronto

The Principal Data Engineer will lead global Master Data Management initiatives, ensuring data quality, implementing governance strategies, and analyzing data issues while building scalable solutions for enterprise data.

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

The Data Engineer 2 will build data integration pipelines, maintain data quality, and collaborate with stakeholders to meet data deliverables.

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

The contractor will finalize the implementation of the VIA system, integrate data from Concur, develop reporting dashboards in Power BI, and collaborate with stakeholders.

Looking for a Data Engineer experienced in Dataiku to design and maintain data pipelines and infrastructure, ensuring data flow and integration across teams.

Design and build scalable data systems and pipelines, migrate legacy systems, ensure data governance, and collaborate with cross-functional teams to enhance data accessibility and reliability.

As a Senior Software Engineer in Telematics, you will develop backend systems, lead projects, and enhance data insights for safety innovations at Lyft.

The Senior Full Stack Engineer will drive product improvements, lead technical projects, develop backend solutions, optimize performance, and mentor other developers while collaborating with cross-functional teams.

As a Data Engineer, you will develop data pipelines and services, evolve data models, and optimize data processing while collaborating with teams across Lyft.

As a Data Engineer at Lyft, you'll manage data modeling and pipelines for the Safety and Customer Care team, ensuring data quality and performance through collaboration with various departments.

The Sr. Principal Engineer will design, implement, and maintain data pipelines, ensuring data integrity and optimizing performance while collaborating with cross-functional teams.

As a Site Reliability Engineer for Data Services at iManage, you will ensure data durability, optimize performance, manage upgrades, and collaborate across teams, focusing on reliability and sustainability in cloud-native environments.

The Data Engineer will architect and implement advanced analytics capabilities, manage data pipelines, and optimize data processing using AWS cloud and various analytical tools.

The Data Engineer will design, develop, and support data and AI products, ensuring alignment with standards and business requirements while optimizing deployment capabilities and handling production issues.

The AI Engineer will design and develop enterprise-grade AI solutions, focusing on multi-agent workflows, integrating LLMs, and establishing observability for AI systems.

As an AI Data Engineer, you'll build and operate data foundations for AI/ML products, manage data operations, create pipelines, and mentor juniors.

The Senior Data Engineer will own and evolve data pipelines, collaborate with teams for data models and pipelines, optimize ETL processes, and implement data storage solutions.

Build and maintain end-to-end ELT pipelines, design scalable data models, create APIs for data/ML serving, and collaborate with engineering, data, and business teams to deliver core data infrastructure.

The Data Engineer designs and builds data pipelines and models, collaborates with teams to ensure quality data delivery, implements AI-driven automation, and ensures compliance with governance standards.

The Senior Software Engineer will manage data systems, develop scalable pipelines, ensure data security, and build self-service applications for users at Coinbase.

As a Senior Data Science Engineer, you will lead modeling projects, build and optimize machine learning models, and mentor junior data scientists while collaborating with various teams to drive business outcomes.

The Data Developer designs data pipelines and optimizes workflows using AWS and GCP, integrating various data sources and developing visualizations to support analytics initiatives.

The Senior Data Engineer will lead the design and development of applications and data pipelines for cybersecurity, using tools like Microsoft Power Platform and Azure. Responsibilities include backend engineering, AI implementation, automation, and stakeholder support through data modeling and dashboards.

Seeking an experienced Data Engineer to design and maintain data pipelines and infrastructure, collaborating with data scientists and stakeholders.