Top Data Engineer Jobs in Toronto

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.

As a Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.

The AI Data Engineer will build scalable data pipelines, design systems for data processing, and manage the lifecycle of AI agents, focusing on unstructured data such as video and audio.

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

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 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 at LiveKit, you will manage the analytics infrastructure, develop scalable GCP-based data pipelines, and ensure effective data movement and transformation processes, while collaborating with the Analytics and engineering teams.

As a Senior Data Engineer, you'll design scalable data models, manage cloud pipelines using Google Cloud services, and optimize data architecture while collaborating with cross-functional teams.

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.

Design, develop, and optimize big data solutions using Databricks, Apache Spark, and cloud platforms. Collaborate with teams to ensure high-performance data architectures.

The Data Engineer will develop and optimize data infrastructure, maintaining data pipelines and ETL processes using Snowflake and AWS, while collaborating with stakeholders to ensure data quality and compliance.

The Data Engineer will design and manage data pipelines and architectures, ensuring data quality and security while collaborating with cross-functional teams for effective analytics and reporting.

The Data Engineer will design, develop, and maintain data pipelines, optimize SQL queries, and collaborate on data requirements in the banking domain.

The Data Engineer II will design and scale a modern data platform, focusing on building scalable data pipelines, support AI use cases, and ensure data quality.

As a Senior Data Engineer, you will define and own data pipelines, design schemas, partner with scientists, and improve data infrastructure for Merge Labs' molecular optimization platform.

The Data Engineer II will perform data engineering functions such as data modeling, ETL, and data quality management while collaborating with various teams and maintaining compliance with data standards.

The Data Engineer will provide technical support and deployment expertise, review data designs, and ensure code quality while collaborating with international teams on a strategic data initiative.

The AI-Native Data Engineer will build data pipelines, architect databases, design GCP infrastructure, and automate workflows for energy management using AI.

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 maintain data pipelines, transform data, and support analytics for investment and client reporting in a cloud environment.

As a Senior Software Engineer, you will develop and maintain software for healthcare applications, utilizing big data technologies and programming languages, ensuring high-quality code and system performance.

Lead and mentor a team of developers, oversee cloud product delivery, drive engineering practices, and ensure high-quality standards while contributing to cross-functional initiatives.