Top Data Engineer Jobs in Toronto

The Data Engineer will architect and implement advanced analytics capabilities, manage data pipelines, and optimize data processing using AWS cloud and various analytical tools.

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

As an AI Data Engineer, you'll build and operate data foundations for AI/ML products, manage data operations, create pipelines, and mentor juniors.

The Senior Data Engineer will own and evolve data pipelines, collaborate with teams for data models and pipelines, optimize ETL processes, and implement data storage solutions.

Build and maintain end-to-end ELT pipelines, design scalable data models, create APIs for data/ML serving, and collaborate with engineering, data, and business teams to deliver core data infrastructure.

The Data Engineer designs and builds data pipelines and models, collaborates with teams to ensure quality data delivery, implements AI-driven automation, and ensures compliance with governance standards.

The Senior Software Engineer will manage data systems, develop scalable pipelines, ensure data security, and build self-service applications for users at Coinbase.

As a Senior Data Science Engineer, you will lead modeling projects, build and optimize machine learning models, and mentor junior data scientists while collaborating with various teams to drive business outcomes.

The Google Cloud Data Engineer will design, build, and improve partner-facing web portals, contribute to the full software development lifecycle, and collaborate with cross-functional teams for high-quality software delivery.

The Data Developer designs data pipelines and optimizes workflows using AWS and GCP, integrating various data sources and developing visualizations to support analytics initiatives.

The Senior Data Engineer will lead the design and development of applications and data pipelines for cybersecurity, using tools like Microsoft Power Platform and Azure. Responsibilities include backend engineering, AI implementation, automation, and stakeholder support through data modeling and dashboards.

Seeking an experienced Data Engineer to design and maintain data pipelines and infrastructure, collaborating with data scientists and stakeholders.

The Data Engineer will design, develop, and deploy data solutions emphasizing automation, performance, and collaboration. Key responsibilities include data development, workflow optimization, and system documentation, while ensuring compliance and risk management. Strong experience in software and database development is required.

As a Junior Data Engineer, you will develop data pipelines on Databricks, optimize ETL processes, and collaborate with stakeholders to transform data into insights within a cloud environment.

The Senior Data Platform Engineer will oversee Databricks and AWS infrastructure, collaborate with teams to optimize data workflows, and mentor junior engineers.

As a Data Engineer Intern at Spin Master, you will automate data processes, assist on projects, and support team efficiency in a collaborative environment.

Design, build, and optimize cloud-based data platform components: ingest and transform varied datasets, create metadata-driven pipelines and data APIs, support AI/ML infrastructure, implement monitoring and metrics, and improve data processes to enable analytics and operational systems.

The Guidewire Data Engineer will design schemas in Snowflake, develop ETL processes, optimize SQL queries, and integrate Guidewire with data platforms.

As an Intermediate Data Engineer, you will develop data infrastructure and products, collaborate with diverse teams, and enhance technical quality across the data team.

As a Sr. Data Engineer, you'll design and manage data pipelines, enhance data quality, and leverage AI to streamline operations, driving the success of our AI growth platform for real estate.

As a Data Engineer at Lyft, you will develop data infrastructure, build scalable data pipelines, and support analytics initiatives for various teams.

As a Data Engineer, you will develop and maintain data pipelines and architecture, ensuring data quality and governance while collaborating with data professionals.

As a Data Engineer, you'll develop storage infrastructure, collaborate with teams, implement data systems, and contribute to product strategy. You'll work with advanced AI systems and process production-grade data.

As a Data Engineer, you will design and build data infrastructure, ensuring data continuity, modernizing data systems, and collaborating with teams to optimize data workflows.