Top Data Engineer Jobs in Toronto

The Data Engineer will develop and maintain data pipelines, ensure data quality, and collaborate with business teams to implement insightful data solutions.

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

The Data Engineer will design and maintain ETL/ELT pipelines using various tools, support data infrastructure in cloud environments, and collaborate with BI teams for reporting and analytics.

The role involves building scalable analytics pipelines, defining data models, and optimizing data architectures while collaborating with cross-functional 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.

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

The Data Engineer will design SQL pipelines, develop Python applications, implement RisingWave streaming, and optimize workflows using Apache Airflow on Google Cloud Platform. They will also mentor others and manage CI/CD deployments.

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.

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 Junior Data Engineer will design ETL pipelines, support database development, ensure data quality, and present findings to stakeholders.

The Data Engineer will develop and deliver technical projects focused on data integrity, security, and scalable analytics solutions, working closely with team members and ensuring effective data pipelines and infrastructure.

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 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 role involves designing and developing data engineering solutions, managing data pipelines, ensuring data quality, and collaborating with various teams to meet business needs.

The Data Engineer will develop data pipelines, manage databases, ensure data quality, optimize performance, and collaborate with teams to meet business needs.

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 Associate Data Developer will build and maintain data pipelines, collaborate on data architecture, optimize processes, and ensure data quality and performance.

As a Data Developer, you'll build and optimize data pipelines, collaborate with cross-functional teams, support data architecture, and ensure data quality along with mentoring on best practices.

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

The Associate Data Engineer will perform data analysis, develop ETL jobs, support teams with data issues, and ensure data compliance with standards.

The Associate Data Engineer will analyze data, develop ETL processes, support testing, ensure compliance with data standards, and collaborate with teams to resolve data issues using Azure technologies and SQL.

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

As a Sr. Data Engineer, you'll design and manage data pipelines, enhance data quality, and leverage AI to streamline operations, driving the success of our AI growth platform for real estate.