Top Data Engineer Jobs in Toronto

The Data Analytics Engineer will design and maintain scalable data pipelines, implement data orchestration tools, work with AI processes, support predictive model development, manage ETL workflows, and collaborate with cross-functional teams for data governance, ensuring analytics solutions are production-ready.

The Data Engineer will build certified data pipelines and views for data sourcing, lineage, quality, transformation, and storage. Responsibilities include engaging with business partners, developing use cases, improving data platforms, and maintaining ETL processes using Azure technologies.

As a CDP Data Engineer, you'll design and manage end-to-end customer data platform architecture, develop and optimize data pipelines, and ensure data quality and compliance. You'll collaborate with cross-functional teams to enhance data integration and support business decisions through effective data engineering solutions.

As a Lead Python Data Engineer, you'll design, build, and optimize data pipelines for ingestion, transformation, and loading of data. You will ensure data integrity through quality checks, mentor junior developers, and collaborate closely with teams to deliver efficient data solutions.

As a Data Engineer at Travelers, you will construct data pipelines, build and deploy data solutions to support AI and ML initiatives, and ensure data quality. Key responsibilities include designing complex data solutions, analyzing data sources, and collaborating with teams to enhance data accessibility and governance.

The Senior Data Engineer is responsible for developing event-driven distributed systems, building streaming data pipelines, and collaborating with data teams to enhance data platforms. The role requires overseeing data systems, maintaining infrastructure, and ensuring best practices in data processing and software design. Candidates should have a strong background in computer science and significant experience in data or software engineering.

As a Data Engineer at J.D. Power, you will enhance automotive industry data processes, collaborating with various teams to develop and maintain data products that solve complex client challenges. Your responsibilities include troubleshooting ETL processes, implementing data engineering best practices, and contributing to new product development.

The Data Engineer will develop and maintain data infrastructure for the Marketing team, ensuring accurate data flows for analytics and reporting. This role involves collaborating with various teams to create efficient ETL processes, manage data pipelines, and support business intelligence needs.

As a Data Engineer at Clover, you'll develop data pipelines, tools for analytics and machine learning, and work on data governance and ETL processes. Collaboration with various teams and external parties is essential to ensure data accessibility and improve healthcare outcomes.

As a Data Engineer, you will be responsible for managing data from various sources, building data processing pipelines, and creating machine learning models. You'll ensure the efficient storage and retrieval of data, maintain systems to ensure security, and collaborate with teams to meet data needs.

The Data Engineer will design and maintain scalable data pipelines and infrastructures using Databricks and/or Snowflake, ensure data quality and compliance with regulations, collaborate with cross-functional teams, and develop data governance policies.

The ML Data Engineer will develop and manage robust feature engineering ETL pipelines for machine learning applications. Responsibilities include optimizing low-latency data pipelines, supporting the ML lifecycle, and ensuring compliance and data governance. Close collaboration with data scientists and other teams is essential to align data efforts with business needs.

As a Data Architect/Principal Data Engineer at Scribd, the role involves leading the design and development of data architecture, guiding data modeling, integration, processing, and delivery standards for modern data products. This position requires expertise in building robust data systems, developing data pipelines, and collaborating with cross-functional teams to enhance data strategies for customer satisfaction.

As a Senior Data Engineer at Lyft, you will build and scale data infrastructure, evolve data models, improve data processing performance, and ensure data quality. You will collaborate with cross-functional teams to support data-driven decision-making and enhance mapping's data pipelines.

The Data Engineer will architect, design, and implement advanced analytics capabilities, build large-scale data processing pipelines, develop self-service dashboards, and provide insights from complex data sets to tackle business challenges.

As a Senior Data Engineer, you will collaborate with teams to develop data pipelines and maintain data infrastructure. You will enhance and oversee the data engineering architecture, optimize processes, and work with emerging technologies, including streaming and cloud platforms.

As a Data Engineer at StackAdapt, you will design modular, scalable real-time data pipelines, implement custom machine learning algorithms, and work on microservice architectures for training and monitoring ML models. Collaboration with data scientists and engineers is key to solving complex data challenges in a rapidly evolving digital advertising space.