Top Data Engineer Jobs in Montreal

As a Senior Data Engineer, you will design and implement scalable systems, build data pipelines, ensure data quality, and improve data processing workflows.

As an Entry-Level Data Engineer, you'll help build and maintain data pipelines, optimize data infrastructure, and support analytics across the company.

Design, build, and maintain data pipelines and infrastructure for data-driven decision-making. Collaborate with teams to ensure data accuracy and develop scalable data systems.

Design and develop data pipelines and tools to analyze nELISA data, collaborating with science and engineering teams to improve data processing algorithms.

As a Senior Data Engineer, you will design and manage ETL pipelines, create data models, and ensure data quality for compliance efforts.

As a Data Engineer, you'll build and maintain data pipelines, ensuring data integrity and accessibility while collaborating across teams.

The role involves building and operating a data platform for managing crypto exchange data, collaborating with teams, and mentoring peers, focusing on high-quality and scalable solutions.

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.

The Senior Data Engineer will design, build, and maintain data pipelines and infrastructure using Snowflake and collaborate with teams for data-driven decisions.

The Analytics Engineer will design data models, develop ETL pipelines, ensure data quality, and enhance reporting solutions for People Analytics.

The Guidewire Data Engineer will design schemas in Snowflake, develop ETL processes, optimize SQL queries, and integrate Guidewire with data platforms.

The role involves designing scalable data pipelines for machine learning, collaborating with cross-functional teams, managing datasets, and ensuring adherence to data privacy standards.

The Junior Data Developer will create scalable big data applications, engage with mixed engineering roles, and contribute to data-driven ad campaign features.

The Senior Data Engineer will build scalable data infrastructure, maintain data pipelines, support data governance, and collaborate with teams to prioritize data needs.

As a Data Engineer at Nascent, you will identify novel data sources, develop pipelines, conduct exploratory analyses, and collaborate across teams to enhance trading strategies.

The Senior/Staff Data Engineer will develop and maintain a data platform on Databricks, establish best practices, and mentor other engineers.

The Staff Data Engineer will design and implement data ingestion and transformation solutions on cloud platforms while providing technical leadership and support to product teams.

As a Staff Data Engineer, you will enhance and modernize data platform infrastructure, manage data processing platforms, and mentor junior engineers.

Lead the design and implementation of a modern data architecture, manage ETL pipelines, ensure data quality, and collaborate with cross-functional teams.

The Senior Data Engineer will design and implement data pipelines, maintain data warehouses, and collaborate with teams on best practices, while mentoring junior engineers.

The Senior Data Engineer will design, develop, and test software applications, focusing on APIs, SQL Server tools, and cloud technologies, while mentoring junior staff and improving performance.

As a Software Engineer for Data Infrastructure, you will enhance our data ingestion pipeline, collaborating with scientists to optimize model training operations and manage cloud infrastructure.

Design, scale, and maintain a cloud-native infrastructure for electricity trading operations, focusing on data pipelines, automation, and AI integration.

As a Senior Data Engineer, you will design and develop scalable data pipelines, collaborate with teams on data projects, ensure data quality and security, and optimize CI/CD processes.

As a Senior Data Engineer II, you will enhance and maintain data pipelines for analytics and machine learning while collaborating with various teams at Life360.