Top Data Engineer Jobs in Toronto

Lead and mentor a team of big data engineers while developing and maintaining robust big data applications and pipelines. Ensure high-quality solutions by optimizing data processing workflows and collaborating across teams.

Lead the design and architecture of scalable data systems, ensuring optimal performance while mentoring fellow engineers and setting engineering standards.

As a Senior Data Engineer, you will build and maintain data pipelines, collaborate with teams on best practices, and implement data ingestion techniques using AWS technologies.

Join Provectus as a Senior Data Engineer to design and implement data pipelines, collaborate with clients, manage data, and build APIs using Python and AWS.

Responsible for developing and maintaining data pipelines, monitoring data quality, and collaborating with teams to support decision-making processes at Lyft.

As a Data Engineer, you will develop data infrastructure, build data pipelines, and ensure data quality while supporting data-driven decisions.

The Data Engineer will provide technical support and deployment expertise, review data designs, and ensure code quality while collaborating with international teams on a strategic data initiative.

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

As a Senior Data Engineer, you will design and optimize data pipelines, mentor engineers, and ensure adherence to coding standards while collaborating with product teams.

You will collaborate on integrations, maintain high code quality, and troubleshoot to ensure reliable blockchain data for staking products.

Design and implement next-generation crypto data systems, manage project priorities, mentor team members, and write high-quality code for Coinbase's Asset Data Platform.

As a Data Engineer at Spotify, you will build data pipelines, improve data quality, and collaborate with teams to enhance productivity and insights.

Design, build, and maintain cloud infrastructure for AI services, working with C#, cloud technologies, and collaborating with various teams to optimize performance.

Design, implement, and own data-intensive scalable platform components, while mentoring engineers and debugging production issues in a fast-paced environment.

Lead the development and support of data and AI products, translating business requirements, directing technical designs, and mentoring teams.

Design and develop eBay's Core Data Platform, focusing on building scalable distributed systems for data ingestion, governance, and analytics. Collaborate across teams to ensure reliability and enhance data processing capabilities.

The Senior Data Engineer will design and maintain data pipelines, support data migration projects, and mentor team members in a transforming data environment.

As a Senior Full Stack Data Governance Engineer, you will build data governance solutions using Azure and Databricks, ensuring data quality and secure APIs.

The Senior Data Engineer at League will develop and support data services and software products, ensuring performance and security of data infrastructure while collaborating with cross-functional teams.

The role involves QA testing in Data Warehousing/Business Intelligence, executing ETL jobs, maintaining SQL queries, and data validation.

Lead the Listing Quality pod to improve product listings using machine learning, guide junior Data Scientists, and develop strategies.

The Senior Software Developer will automate cloud infrastructure and improve data platform reliability, collaborating with various teams to implement best practices.

As a Design Engineer on the Performance Team, you'll develop features focused on user experience and performance within Sentry's applications, collaborating with design and engineering teams to implement changes across the codebase.

The Senior Data Engineer will design and maintain data pipelines and models, optimize Snowflake, and ensure trusted datasets for analytics and reporting.

The Staff Data Engineer/Developer will lead data architecture improvements, develop data pipelines, and collaborate with teams to create data products.