Top Data Engineer Jobs in Toronto

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

Architect and maintain marketing databases and pipelines, implement data infrastructure for AI/ML, and manage data integration in a collaborative environment.

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.

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.

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.

Join CrowdStrike as a UI engineer to build an advanced data visualization framework, collaborating with interdisciplinary teams and enhancing user experiences in cybersecurity.

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.

As a Data Engineer, you will design and implement scalable data pipelines, support AI solutions, optimize performance, and collaborate with stakeholders for data provisioning.

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 role involves data engineering functions like data modeling, quality, profiling, ETL, and supporting partners in data management activities while ensuring compliance with enterprise standards.

The AI Data Engineer will ensure the reliability of Veeva AI Agents through evaluation, validation, and testing of data integrity and performance metrics.

The AI Data Engineer ensures the reliability and accuracy of Veeva AI Agents through evaluations, validation methodologies, and dataset generation, while using Python for automation and reporting.

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 Full Stack Data Engineer will build automated data feeds, develop regulatory reports, and maintain ETL/ELT pipelines, focusing on transforming business-ready data for enterprise functions.

The Data Engineer will design, develop, and maintain data pipelines, transform data, and support analytics for investment and client reporting in a cloud environment.

As a Data Engineer at CIBC, you'll collaborate on BI services, design infrastructure, automate processes, and deliver impactful BI solutions to support business intelligence efforts.

As a Junior Data Engineer, you will design and implement data pipelines, optimize workflows, and support analytics using AWS and GCP, along with data visualization tools like Google Looker and Tableau.

The PHP Data Developer will design, develop, and maintain data processing tools and ETL pipelines, while collaborating with a team and ensuring code quality.

As a Data Developer, you'll maintain and design data systems for billions of events daily, build ETL pipelines, optimize data warehouses, ensure data quality, and collaborate with teams to enhance customer acquisition and product performance.

Lead the MEI data strategy and run day-to-day operations for research-grade analytics environments. Design and operate Hadoop/Cloudera and Databricks lakehouse platforms, build ETL/ELT pipelines, implement data quality and governance, automate checks and CI/CD, liaise with central technology teams, and enable analysts with documentation, templates, and GenAI-enhanced data tooling.

The Principal Software Data Engineer will design, develop, and maintain data platforms and pipelines, mentor teams, and drive technical excellence in data solutions, focusing on microservices architecture and scalability.

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

Lead modeling projects to enhance customer engagement. Build and optimize machine learning models, mentor junior scientists, and communicate findings to stakeholders.

As a Software Data Engineer, you will develop data pipelines, collaborate with teams, and build maintainable code to support scientific research. You'll utilize LLMs and cloud technologies to enhance data processes.

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