Top Data Engineer Jobs in Toronto

The Data and ML Engineer will work on building AI products, developing data and ML solutions, maintaining data pipelines, and collaborating with cross-functional teams to deliver impactful data-driven solutions.

As a Data Engineer at Afresh, you will develop data pipelines, improve integrations, and streamline data processing to combat food waste.

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.

The role involves designing, developing, and maintaining scalable low latency streaming solutions using technologies like Apache Flink and Kafka, while leading projects and enhancing team practices.

The Data and ML Engineer will gather, transform data, develop ML solutions, optimize pipelines, ensure data quality, and collaborate on AI product design while participating in a two-year catalyst program.

As a Data and AI Engineer Catalyst, you will design and build data engineering solutions, maintain data pipelines, collaborate with teams, and apply best practices in data quality while engaging with the AI community.

The Senior Data Science Engineer develops tools for AI, enhances analytics solutions, and educates others on data best practices, collaborating with teams for improved data utilization.

The role involves building and maintaining data processing tools on Google Cloud Platform, collaborating to improve the data ecosystem, and ensuring scalability for Spotify’s data needs.

The Senior Data Engineer will design and maintain scalable data systems, optimize workflows, ensure data quality, and mentor other engineers while collaborating across teams to enhance data access and product performance.

Lead the development and maintenance of scalable data pipelines and enterprise data systems, ensuring data quality and governance while collaborating with cross-functional teams.

As a Data Engineer, you will develop and maintain Enterprise Data systems, optimize data flows, and ensure data quality and reliability. Collaborate with stakeholders and contribute to enhancing data products for investment decision-making.

As a Senior Software Engineer, Data, you will design scalable data pipelines, collaborate with cross-functional teams, and enhance data quality frameworks to support our CRM platform.

The Senior Data Developer will design and maintain pipelines, optimize ML models, and support scheduling intelligence for healthcare appointments.

The Principal ML Data Engineer will analyze data, build models, and deploy algorithms while collaborating with engineering teams and managing ML infrastructure.

The Senior Data Engineer will design, build, and maintain data integration and analytics solutions, optimize data pipelines, and ensure data quality across platforms.

As a Software Engineer II in Data Engineering, you will develop APIs, data pipelines, and tools to support data-driven operations across various teams.

The role involves providing data engineering support, managing data operations, enhancing data pipelines, and administering Snowflake, while adhering to KPIs and improving processes.

As a Senior Fullstack Engineer, you'll develop and maintain core data browsing features, collaborate with teams, and mentor engineers while contributing to the Sentry stack.

The Lead Data Platform Solutions Engineer will design and implement cloud-native infrastructure, manage data governance solutions, mentor teams, and ensure compliance with data quality initiatives.

Join an AI-driven research project as a Frontend or Fullstack Developer, designing user-friendly features and delivering polished interfaces.

The Data Engineer develops and maintains data pipelines, supports analysts, and builds solutions for data processing and analysis in a collaborative environment.

The (Senior) Analytics Engineer will develop SQL transformations, design data models, and collaborate with cross-functional teams to support business analytics.

The Senior Frontend Engineer will drive initiatives in data engineering, mentor junior teammates, and contribute to product vision using various technologies.

Lead architect and development of AI-driven data infrastructures. Design data pipelines and systems for ML model training and semantic search capabilities.

Design and develop data pipelines and applications for Growth, Sales, and Marketing functions at Stripe, ensuring data integrity and influencing project outcomes.