Top Data Engineer Jobs in Toronto

As a Data Engineer, you will own and deliver data engineering projects, ensure code quality, and collaborate with cross-functional teams to meet data needs.

As a Data Engineer, you'll develop and manage ETL/ELT pipelines, build an analytical data warehouse, ensure data integrity, and collaborate with teams to create reliable data models for ad tech reporting and ML optimization.

The Data Engineer will develop and manage data pipelines, collaborate cross-functionally, support project execution, and adhere to cloud governance practices in a hybrid work environment.

As a Senior Data Engineer, you'll develop and maintain end-to-end data pipelines, work with various data sources, and enhance data architecture at Samsara. You'll also mentor junior members and engage with stakeholders to meet their data needs.

The Senior Data Engineer will design and maintain data solutions, build ETL pipelines, and create data models to support customer operations, driving data-driven decisions and optimizing data infrastructure.

The Senior Data Engineer develops data strategies, designs data pipelines, ensures data accuracy, and provides support for ML engineers. They collaborate across teams to enhance cybersecurity and mitigate vulnerabilities.

As a Data Engineer, you'll design, build, and maintain scalable data platforms and pipelines, collaborating with analysts and scientists to ensure reliable data solutions.

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 Data Engineer will build a creative intelligence pipeline, connecting ad data to ETL processes, enabling time-series queries, and documenting the setup for handoff.

As a Data Engineer at Influur, you will build and optimize data infrastructure, design ETL and ELT pipelines, and ensure data quality while collaborating with cross-functional teams.

As Tempo's first data engineer, you'll design and build data infrastructure, develop ETL pipelines, and optimize data systems for blockchain analytics.

The Data Engineer at Butter Payments will architect data systems, ensure high-quality data ingestion and transformation, and collaborate with ML teams to optimize workflows.

As a Data Engineer, you will design and maintain data pipelines, ensure data quality, collaborate with teams, and automate workflows in a cutting-edge AI platform.

As a Senior Data Engineer for Customer Operations, you will develop and maintain data models, pipelines, and visualizations to support decision-making within cross-functional teams and improve customer support experiences.

As a Data Engineer, you will set the technical direction for a streaming data processing engine, implement it, ensure best practices, and work with teams to prioritize tasks and improve processes.

Responsible for designing, building, and maintaining scalable data pipelines, optimizing data systems for analytics, and ensuring data quality. Collaborates with cross-functional teams to enable data-driven decision making and develops integrations with various systems.

As a Data Engineer at Homebase, you'll design, develop, and optimize data pipelines, manage data models, and enable AI-powered features, ensuring scalable and reliable data processes. You'll also partner with teams to drive continuous improvement and own projects from planning to execution.

The Freelance Data Engineer will analyze data, design databases, manage data operations, and collaborate on data-driven projects to optimize data infrastructure.

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

Lead application systems analysis and programming activities, manage data processing systems, and mentor mid-level developers in Big Data Engineering.

The Senior Big Data Engineer leads the analysis and programming activities for application systems, collaborates with management teams, and develops scalable ETL/ELT pipelines while providing expertise and guidance to developers.

As a Senior Data Platform Developer, you'll build and maintain Geotab's machine learning and generative AI platforms, ensure system health, and support data processing initiatives.

The Data Transfer Engineer manages, operates, and optimizes Axway Managed File Transfer services while migrating these services to Kubernetes and implementing IaC principles.

The Senior Data Engineer will design and manage data pipelines, work with diverse teams on data solutions, and engage in R&D initiatives.