Top Data Engineer Jobs in Toronto

Design and build data integration pipelines using Informatica and AWS. Collaborate with teams to translate business needs into data solutions while maintaining cloud-based applications and participating in all development phases.

As a Data Engineer, you'll build complex data pipelines, design frameworks for data solutions, leverage AI in development, and set engineering standards for the team.

As a Senior Data Engineer, you'll design and manage ETL pipelines, optimize data models, monitor data quality, and collaborate with teams to support compliance operations.

As a Senior Software Engineer on the Data Integrations and Transformations Platform, you'll design and maintain backend services, mentor engineers, and enhance data access for business-critical applications.

As a Data Engineer, you'll build and maintain data pipelines, optimize infrastructure, and ensure data accuracy, collaborating with data scientists and analysts.

The Senior Data Platform Engineer will oversee Databricks and AWS infrastructure, collaborate with teams to optimize data workflows, and mentor junior engineers.

The Principal Data Engineer will lead the design and implementation of streaming data pipelines, drive technical direction, mentor engineers, and ensure best practices in data governance and observability, focusing on real-time and batch data solutions.

The AI Data Engineer Intern will support applied AI projects, focusing on automation and workflows, utilizing NLP techniques and data engineering methods. Responsibilities include developing AI workflows, working with data sources, and collaborating with teams on AI applications.

The contractor will finalize the implementation of the VIA system, integrate data from Concur, develop reporting dashboards in Power BI, and collaborate with stakeholders.

As a Data Engineer, you'll design and maintain data pipelines, ensuring data quality and efficiency while collaborating with cross-functional teams to support data-driven decisions.

As a Senior Software Engineer, you will design and build components for the Data Operations Platform, improve internal frameworks, and ensure data quality and governance while collaborating with various teams for scalable solutions.

As a Staff Data Engineer, you'll architect and model data, create ETL pipelines, and standardize datasets for compliance teams. You'll guide best practices and lead data solutions while collaborating with various stakeholders.

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 Data Engineer role involves developing and maintaining data pipelines, models, and reporting to support AI-driven insights for small businesses. Responsibilities include optimizing data architecture and collaborating with teams for effective analytics solutions.

As a Senior Software Engineer in the Vehicle Diagnostics team, you will design and develop vehicle telematics data products, lead technical discussions, collaborate with teams, and influence platform roadmaps.

The AI-Native Data Engineer will build data pipelines, architect databases, design GCP infrastructure, and automate workflows for energy management using AI.

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

The AI Data Engineer will ensure the reliability of Veeva AI Agents through evaluation, validation, and testing of data integrity and performance metrics.

The AI Data Engineer ensures the reliability and accuracy of Veeva AI Agents through evaluations, validation methodologies, and dataset generation, while using Python for automation and reporting.

As a Junior Data Engineer, you will design and implement data pipelines, optimize workflows, and support analytics using AWS and GCP, along with data visualization tools like Google Looker and Tableau.

As a Data Engineer - Quality, you'll ensure data integrity by managing testing activities, developing validation frameworks, and maintaining pipelines while working closely with various teams.

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

The Sr. Biometrics Data Engineer will architect, implement, and maintain scalable ETL pipelines, manage data ingestion, and collaborate across teams to ensure robust data infrastructure.

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.

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.