Top Data Engineer Jobs in Toronto

The Senior Finance Data Engineer will lead finance data architecture, automate workflows, and build AI-driven insights systems to enhance financial operations and reporting.

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

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

This role involves designing and developing scalable data solutions, automating tasks, and collaborating with teams to deliver business value. Responsibilities include strong database development using SQL and Python, as well as leading innovative projects and ensuring compliance.

The Data Engineer will manage data pipelines, ensure data quality, collaborate on data models, and optimize processing performance using SQL and Python.

Build and scale batch and real-time data pipelines, automate cloud infrastructure and CI/CD, develop ETL and analytics, create reports and dashboards, and partner with stakeholders to deliver data-driven insights.

The Data Engineer will build scalable data processing tools, collaborate with teams, enhance developer experience, and support AI interactions with data infrastructure.

The Intermediate Data Engineer designs and builds scalable data solutions, manages data ingestion and pipelines, and supports BI initiatives. Responsibilities include collaborating with stakeholders, ensuring data integrity, and mentoring team members while adhering to best practices in data engineering.

Own Venn's data infrastructure, build reliable data pipelines, design trusted data models, and improve data quality across the organization to support business decisions.

Design and build scalable data ingestion pipelines and modernize Block's CDC platform while collaborating cross-functionally to ensure data flows reliably for analytics and ML initiatives.

Lead Full Stack Data Engineer responsible for architecting, developing, and optimizing data solutions, mentoring teams, and driving AI integration in data processes.

The Full Stack Data Engineer will design and implement scalable data solutions, optimize data pipelines, and leverage AI tools to enhance productivity. Collaboration with teams and engagement with data stakeholders is key.

The Principal Data Engineer at RAVL will design and implement enterprise-grade data and AI platforms, mentor engineers, and influence architectural standards across teams.

As a Data Engineer, you'll design, build, and maintain data pipelines, ensure data quality, and collaborate with stakeholders to deliver data solutions.

The Senior Pyspark Data Engineer will manage large-scale data processing systems, conduct feasibility studies, provide user support, and develop security measures while acting as a subject matter expert in applications development.

Responsible for systems analysis, programming, and managing application development projects. It involves data processing management and consulting with users. Must ensure compliance with regulations while supporting business units and mentoring junior staff.

As a Data Engineer, you will design and implement scalable data pipelines and solutions, collaborate with teams, and apply new technologies in an Agile environment.

The Data Engineer will design scalable data pipelines, manage data solutions, collaborate with teams, and ensure project delivery on time while applying new technologies.

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 develop and maintain data platforms on Google Cloud, optimize data pipelines, and support Data Science teams in model training and analytics, collaborating closely across departments.

As a Data Developer, you will create and optimize data pipelines, collaborate with teams to meet business data needs, and apply advanced technical skills in data engineering and automation.

As a Data Developer, you will create enterprise data solutions, build data pipelines, and collaborate with teams to meet business needs using intermediate to advanced technical skills.

Seeking a Data Engineer to design SQL pipelines, develop Python applications, implement real-time analytics with RisingWave, and build Kafka architectures. Responsibilities include optimizing data workflows and mentoring team members.