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.

The Senior Data Engineer will design and maintain streaming data pipelines, develop analytical databases, and ensure data system reliability while collaborating with teams across the organization.

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

Design, build, and maintain scalable data platforms and pipelines. Collaborate with analysts and scientists, ensuring reliable data solutions while adhering to security and compliance standards.

As a Data Analyst, you will analyze user behavior, create interactive dashboards, and collaborate with teams to provide actionable insights for product improvement.

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.

Senior Data Engineer position focused on implementing secure data pipelines, collaborating with teams to meet data needs, and improving data solutions while leveraging cloud technologies and machine learning.

As a Data Analyst at Air Apps, you'll analyze user behavior and product performance, create reports and dashboards, and provide actionable insights using data visualization tools and programming languages.

The Data Engineer will analyze and interpret data to drive insights, create dashboards, and enhance product performance, collaborating with cross-functional teams.

As a Data Engineer, you will develop and implement data platforms and workflows, ensure data quality, and collaborate with product managers and data scientists to meet business requirements.

Lead applications systems analysis and programming activities, develop and maintain scalable data pipelines, and provide guidance to developers.

As a Data Engineer I, you'll perform data engineering tasks such as ETL, data modeling, support data management functions, and ensure compliance with enterprise standards while collaborating with teams on data initiatives.

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.

Lead design and implementation of shared, reusable data models and a certified metrics layer. Standardize pipeline patterns, CI/CD, and governance; modernize orchestration and observability; partner with Data Science, Infrastructure, and Product to deliver reliable analytics pipelines and enable AI-native data development.