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 II at Braze, you'll develop and maintain data pipelines, work with stakeholders to understand requirements, and ensure data quality and reliability.

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 Data Engineer Intern, you'll support data teams by defining metrics, ingesting data, ensuring data quality, and generating insights while working under a Data Engineering Manager.

The Principal Data Engineer will lead modernization of data platforms, drive ETL development, ensure data governance, and collaborate with cross-functional teams.

As a Senior Data Engineer, you'll build scalable data pipelines, optimize data models, and ensure pipeline performance using Databricks, PySpark, and Kafka while collaborating cross-functionally with Architects and Scientists.

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

The Sr. Manager Data Engineer will lead the development of data products for marketing, maintaining data pipelines and collaborating with various teams.

The Manager Data Engineer will lead the creation and maintenance of data products for marketing, focusing on cloud ETL processes and data pipelines.

As an Azure Data Engineer, you will develop and integrate multi-platform applications, provide production support, collaborate with teams, and explore technologies to enhance data discovery processes.

As a Data Engineer, you'll develop and manage ETL/ELT pipelines, build an analytical data warehouse, ensure data integrity, and collaborate with teams to create reliable data models for ad tech reporting and ML optimization.

The Data Engineer will design, develop, and manage data pipelines, automate infrastructure, and collaborate on data solutions while ensuring compliance with data regulations.

The Azure Data Engineer designs and optimizes data solutions on the Azure platform, ensuring reliable pipelines and performing data integration, while collaborating across teams to fulfill business requirements.

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.

As a Data Engineer, you'll be integral to managing BI services, collaborating on infrastructure design, improving service functionality, and developing BI reports and dashboards, all while contributing to CIBC's digital transformation and cloud strategies.

As a Data Engineer, you'll design, build, and maintain scalable data platforms and pipelines, collaborating with analysts and scientists to ensure reliable data solutions.

The Data Engineer will develop and optimize ingestion pipelines, ensure data accuracy, and support automation initiatives for high-volume data workflows.

The Data Engineer will develop and maintain Azure data pipelines, collaborate with teams to enhance data utility, and implement Azure best practices while supporting business analytics and compliance.

The Data Engineer will create standardized data pipelines for real-time data access, focusing on ETL processes, database design, and collaboration with experts to develop scalable 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.

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.

Lead the planning, design, and development of data and AI products, support infrastructure, guide teams, and ensure alignment with business needs.

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