Top Data Engineer Jobs in Toronto

Design and develop scalable APIs, distributed systems, and backend services. Drive observability, optimize performance, and mentor engineers while implementing modern engineering practices.

The PHP Data Developer will design, develop, and maintain data processing tools and ETL pipelines, while collaborating with a team and ensuring code quality.

As a Data Developer, you'll maintain and design data systems for billions of events daily, build ETL pipelines, optimize data warehouses, ensure data quality, and collaborate with teams to enhance customer acquisition and product performance.

As a Data Engineer, you will design and implement scalable data pipelines and analytics systems to improve AI-powered legal products, ensuring data governance and quality while collaborating with cross-functional teams.

Design and implement scalable data architectures, collaborate with teams to optimize data pipelines, develop data models, and ensure data governance and quality.

As a Senior Data Scientist, you will enhance product listing quality for local retailers using machine learning and deep learning techniques. You will design ML solutions and collaborate with cross-functional teams to improve product discovery and evaluation processes.

The Data Governance Engineer will oversee data governance capabilities, ensure data quality, support technical deployments, and promote data literacy across organizations.

The Principal Software Data Engineer will design, develop, and maintain data platforms and pipelines, mentor teams, and drive technical excellence in data solutions, focusing on microservices architecture and scalability.

The Senior Data Platform Engineer will manage and develop the data infrastructure on Databricks and AWS, ensuring scalable and efficient data capabilities while collaborating across teams.

The Staff Software Engineer will lead the development of backend services and data pipelines for real estate MLS data, mentor teams, and work on AI integration.

The role involves designing and maintaining low latency streaming systems, enhancing data platforms, and collaborating with teams to improve architecture and operations.

As a Senior Software Engineer at Lyft, you'll manage and optimize production infrastructure, develop tooling for better reliability, and support teams with operational insights.

The Software Engineer will design, develop, and maintain data platforms using streaming technologies, collaborating with teams to enhance data architecture.

The role involves developing and supporting data processing pipelines, collaborating with ML Engineers, and improving infrastructure while mentoring team members.

Lead technical strategy and hands-on development for Faire's data platform and analytics. Design and operate scalable, secure data ingestion, storage, compute, orchestration, and governance. Mentor teams, define architecture and roadmaps, improve performance and cost-efficiency, and ensure monitoring, alerting, and data integrity across analytics workflows.

The Data Engineer will manage the full data stack, design database architecture, build ETL pipelines, create data integrations, and oversee reporting and data quality.

The Senior Data Engineer leads the implementation of application systems, manages data processing infrastructure, and provides solutions on complex technical issues. Responsibilities include overseeing development processes, user support, and ensuring adherence to security measures while mentoring junior analysts.

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.

As a Senior Data Engineer, you'll design and maintain data platforms and pipelines, optimize data workflows, and collaborate with stakeholders on data needs.

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

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

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.

The Data Integration Engineer will develop and maintain data connections between client sources and Prophix, focusing on cloud integration and automation, and mentoring team members.

The Data Platform Support Engineer will manage EDGE Data Platform support, automate tasks, troubleshoot data issues, and collaborate with Site Reliability Engineers to ensure data pipeline health.

As a Data Engineer, you will design database architecture, manage ETL/ELT pipelines, create financial reporting systems, and ensure data quality in collaboration with finance teams.