Top Data Engineer Jobs in Toronto

As a Principal Data Engineer at Movable Ink, you will lead the development of the Data Warehouse and manage data pipelines across various business systems, ensuring high performance and compliance with data regulations. Your role includes mentoring team members and optimizing data processing for seamless data access.

As a Data Engineer, you will help drive the direction of our Data Warehouse, implement and test data pipelines, document data lineage, create data products, and collaborate with Analysts and Engineers to build reports and dashboards, leveraging massive amounts of collected campaign data.

As a Data Engineer at Fluent, you will build and manage data products on the Databricks platform, focusing on creating robust data pipelines and ensuring quality and integration with machine learning models. Your role will involve collaborating with various teams to understand data requirements and keep up with emerging technologies in the Databricks ecosystem.

The Data Engineer will design and develop data integration pipelines using Azure Data Factory, implement ETL/ELT processes, leverage Azure Databricks for data processing, optimize data pipelines, collaborate with teams, troubleshoot issues, and participate in data governance and security.

The Data Engineer will develop and maintain data pipelines, monitor production data, analyze sustainability data, and ensure data integrity. Responsibilities include collaborating with various departments, creating reports, and presenting findings to stakeholders to support sustainability initiatives.

As a Senior Data Engineer, you will design and maintain data infrastructure for Square's Marketing team, focusing on web event data. Responsibilities include building data pipelines, translating requirements for ETL processes, analyzing data sources, monitoring pipeline performance, and improving data quality and efficiency. Your work will significantly influence business decisions and reporting accuracy.

As a Sr. Data Engineer at Fluent, you will develop and manage scalable pipelines in the Databricks environment, focusing on high-impact data solutions. You'll work on integrating machine learning models and ensure data observability standards. Collaboration with data science and reporting teams is essential to translate requirements into effective data models.

The Senior Platform/Data Engineer will design, implement, and maintain a secure data platform using Snowflake, optimizing performance and leading projects. Responsibilities include data integration, mentoring junior engineers, ensuring compliance, and collaborating with stakeholders on data requirements.