Top Data Engineer Jobs in Toronto

Lead technology initiatives in data lifecycle management, drive technology vision and architecture, and serve as a mentor within Equinix and the industry.

Design, develop, and maintain high-performance low-latency streaming systems for critical applications, while leading projects and collaborating with teams.

Develop and maintain data processing pipelines, support data-driven experimentation, mentor junior engineers, and ensure data quality for product teams.

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

Join Provectus as a Senior Data Engineer, working on ML infrastructure, data engineering projects, and collaborating with a multidisciplinary team to resolve technical challenges.

As a Senior Data Engineer, you'll maintain data integrations, resolve technical issues, communicate with stakeholders, and improve support processes.

The Senior Software Engineer will develop and manage data and analytics projects, ensuring data integrity and system performance while mentoring team members.

As a Senior Data Engineer, you'll develop and deliver technical projects, manage data pipelines and infrastructure, and mentor team members at Faire.

This role involves designing, building, and maintaining data integration and analytics infrastructure using Microsoft Azure, focusing on hands-on engineering and solution architecture.

The Sr. Data Engineer will develop data infrastructure, maintain data pipelines, enforce data governance, and integrate data to enhance product performance and decision-making.

The role involves designing, developing, and delivering secure data pipelines while providing technical leadership and implementing best practices in data engineering.

The Senior Data Engineer will build and maintain data processing pipelines, ensure data quality, and support analytics needs for various product verticals while mentoring junior engineers.

As a Senior Software Engineer on the Data Platform team, you will develop data storage layers, handle scalable data pipelines, collaborate across teams, and ensure solution quality.

As a Senior Data Acquisition R&D Engineer, you'll drive research and development for advanced web data extraction techniques and mentor team members, tackling complex problems in data processing at scale.

Join an AI-driven research project as a Frontend Developer, designing and building user-friendly web applications using modern JavaScript frameworks and strong UI/UX principles.

As a Staff Data Engineer, you'll design, develop, and maintain data systems, tackle data challenges, lead projects, and mentor engineers, driving innovation and data integrity at NerdWallet.

The Data Operations Engineer will optimize and maintain data labeling workflows, automate tasks, and ensure quality in data annotation processes.

Design and improve data pipelines for machine learning in AdTech, collaborate on data solutions, manage large data sets, and mentor junior engineers.

As a Senior Software Engineer, you will create data pipelines for training and evaluating Waabi's autonomous platform, ensuring quality code and collaborating with a multidisciplinary team.

The role involves designing and implementing data ingestion pipelines, developing components for data transformation, improving platform observability, and collaborating with data consumers.

The Senior Data Engineer will lead the design and implementation of data architecture solutions, develop data pipelines, and optimize database performance while ensuring integration and adherence to governance standards.

As a Senior Data Engineer, you will build scalable data pipelines, manage cloud infrastructure, and support analytics and data science teams, leveraging various technologies to deliver impactful solutions for clients.

The Data & ML Platform Engineer will design and implement data and ML components, optimize data ingestion, support architecture transformation, and drive automation and improvement of workflows.

The Sr. AI Engineer will deploy and manage machine learning models, integrate AI with BI systems, and transform data into actionable business insights, impacting strategic decisions.

Responsible for building and maintaining reliable infrastructure, automating processes, ensuring security compliance, and participating in incident response as a Staff Site Reliability Engineer (SRE).