Top Data Engineer Jobs in Toronto

Prepare and manage data, build ETL/ELT pipelines, and ensure data privacy and compliance for banking systems and related projects.

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

As a Senior Software Engineer, you will architect and maintain data infrastructure, build scalable data pipelines, and collaborate with cross-functional teams to support business goals.

The role focuses on building out and expanding Cloudflare's global network, managing datacenter installations, improving infrastructure processes, and facilitating technical deployments.

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.

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

The Data Engineer will architect and implement advanced analytics capabilities while dealing with large datasets and building data processing pipelines.

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

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

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 Data Engineering Lead oversees the design and implementation of data systems, ensuring performance and governance while mentoring junior engineers.

Design, build, and maintain scalable data pipelines and models on Databricks/Spark; create dashboards; enable AI-powered features; troubleshoot data quality and performance; drive automation and end-to-end project ownership.

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 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.

Responsible for developing and maintaining infrastructure for deploying, monitoring, and optimizing ML models, collaborating with teams to enhance data-driven initiatives.

The Data Engineer will design and manage data pipelines, optimize ETL processes, ensure data quality, and collaborate across teams to enhance data capabilities.

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'll design and implement end-to-end conversational solutions using Google LLMs, lead Dialogflow CX deployments, and integrate technology with client systems. Your role will involve hands-on development and working in a collaborative environment to tackle complex challenges.

The Data Engineer is responsible for developing data pipelines, integrating data sources, managing databases, ensuring data quality, optimizing performance, and collaborating with teams to fulfill data needs.

As a Data Engineer, you will focus on deploying and managing ML models, developing ETL pipelines, ensuring data quality, and automating processes in collaboration with data scientists.

As a Data Engineer, you will manage ML models in production, develop ETL pipelines, collaborate with data scientists, and ensure robust data stability.

The Data Engineer will design, develop, manage data pipelines, automate infrastructure using Terraform, collaborate with teams for compliance, and improve 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.