Top Data Engineer Jobs in Toronto

The Founding Data Engineer will manage the company's data models, ensure metric integrity, and work with various teams to deliver reliable metrics and reporting systems.

The Senior Backend Engineer will design and build scalable backend systems for SaaS products, integrate ML/AI capabilities, and lead technical direction across product areas.

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.

The role involves leading projects in AEC data modeling and machine learning, mentoring junior engineers, and collaborating to enhance design workflows.

Design and build software components for a distributed system, ensuring uptime and reliability while collaborating on project discussions and adhering to quality standards.

As a Full-Stack Engineer at Labelbox, you will develop and maintain AI tools, focusing on data training systems, intermediate user interfaces, scalable architectures, and work in a collaborative, fast-paced environment.

As a Senior Data Engineer, you will enhance the data lakehouse, optimize data workloads, perform complex transformations, and develop frameworks to improve delivery velocity, focusing on cybersecurity solutions.

The Senior Data Platform Engineer at 1Password will design, build, and maintain data systems and streaming architectures, ensuring data quality and governance for real-time access.

Lead the design and ownership of Jane's customer data infrastructure: event collection, pipelines, CDP tooling, schema governance, identity resolution, and attribution. Define instrumentation standards, ensure consent-compliant tracking in a healthcare context, evaluate/migrate CDP tooling, and collaborate cross-functionally with marketing, BI, product, and engineering.

The Senior Software Developer will design and build scalable APIs and distributed systems, improve operational efficiency, and mentor other engineers, focusing on automation and data infrastructure.

The Senior Data Developer will enhance the scheduling system, building pipelines for ML models, ensuring reliability, and facilitating improvements for operational decision-making.

Build and maintain a near real-time financial dashboard by integrating market and forecast APIs, automating financial models, and crafting clear visual narratives using Flourish and Canva. Collaborate with design and marketing partners, ensure data accuracy and performance, and optimize data flows across multiple feeds.

As a founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.

Design and build operational data systems, including pipelines, storage layers, and APIs for near real-time enforcement and insights, balancing streaming and batch paradigms.

The Staff Software Engineer will design, develop, and maintain scalable cloud-based solutions, manage data ingestion and retrieval, and lead architectural innovation while collaborating with cross-functional teams.

Build and automate large-scale ML data pipelines and tooling for autonomous trucking. Improve dataset curation, deduplication, labeling, evaluation, and metrics infrastructure. Collaborate with robotics, autonomy, and infra teams to support continuous learning, deployment, and scalable AI infrastructure for Kodiak's fleet.

The Senior Data Engineer will lead the design and development of scalable data infrastructure for analytics and AI capabilities, ensuring compliant data processing systems and improving the data platform.

As a Senior Data Engineer, you'll build and manage data pipelines, ensure data quality, collaborate with teams, and uphold data governance at Mozilla.

Lead a team to deliver analytics solutions, transforming data into actionable insights, building AI/ML models, and collaborating across business units to drive analytics adoption.

The role involves analyzing software requirements, contributing to software development, mentoring developers, and leading design/code activities in a big data context.

The role requires developing solutions using IBM DataPower, with a focus on creating WSP, XFW, MPGW, and managing certificates and encryption. Candidates should have strong skills in troubleshooting and working with various DataPower devices.

Seeking experienced Data Engineers to design and optimize real-time and batch data pipelines, leveraging cloud technologies for scalable data solutions.

Responsible for database administration, data engineering, and operations within the Data Lake and Data Warehouse. Lead ETL design, troubleshoot production issues, and mentor junior engineers.

The Senior Data Platform Engineer will design and operate a unified data platform, ensuring reliable data flows and collaborating across teams to shape data strategy and architecture.

The Staff Data Engineer will architect scalable data systems, enforce engineering standards, mentor teams, and drive real-time analytics at Life360.