Top Data Engineer Jobs in Toronto

As a Senior Data Quality Engineer, you will ensure data integrity across trading systems by implementing automated data quality checks and collaborating with various teams. You'll analyze data quality issues, optimize pipelines and utilize AI for anomaly detection, contributing to compliance and operational efficiency.

The Senior Data Engineer will design and manage scalable data architectures, optimize databases, and ensure data accuracy while collaborating with various teams to support data-driven strategies.

The role involves gathering and organizing data, developing ML engineering solutions, optimizing data pipelines, and collaborating with teams to translate requirements into technical solutions.

The role involves designing scalable applications and microservices, requiring extensive experience in Java and big data tools. A strong background in Capital Markets and Agile teams is necessary.

As a Senior Data Migration Engineer, you will oversee data migration to GCP, analyze data structures, design strategies, ensure data integrity, and support stakeholders.

Lead Data Engineers in designing and managing scalable data architectures, implementing BI solutions, and maintaining cloud infrastructure while guiding team members in data-driven approaches.

The Senior Business Intelligence Developer will implement data analytics strategies, design visualizations, perform data analysis, and collaborate with stakeholders.

The Senior Data Protection-Storage Engineer will design and manage storage solutions, ensure smooth transitions to new technologies, and lead project teams while focusing on capacity planning and performance analytics.

The Senior Data Visualization Engineer collaborates with teams to design dashboards, analyzes datasets, mentors juniors, and improves operations in the supply chain.

As a Staff Data Engineer, you will design and optimize data pipelines, enhance ingestion architectures, and collaborate with enterprise customers and platform teams.

Design and maintain secure, scalable data pipelines, ensuring data quality and collaborating with teams to optimize performance. Mentor engineers and stay updated with industry standards.

The Senior Data Engineer will design and build scalable data pipelines, provide technical guidance, and solve complex challenges within a remote, collaborative team.

The Data Operations Engineer will optimize and maintain data labeling workflows, automate tasks, integrate tools, and ensure data quality for AI projects.

As a Research Engineer, you'll innovate machine learning solutions, develop scalable data pipelines for LLM training, and collaborate with global teams.

As a Sr. Data Engineer, you'll design and maintain data integration solutions, ensuring data flow across systems, monitoring performance, and troubleshooting issues.

As a Staff Data Scientist, you'll improve product listing quality using ML techniques, mentor junior team members, and lead strategy execution.

The Senior Data Engineer will design and maintain scalable data pipelines, implement data warehousing solutions, ensure data quality, and guide engineering processes. Collaborative leadership is key, along with innovation in data technology.