Top Data Engineer Jobs in Montreal

As a Data Engineer Intern, you'll support data teams by defining metrics, ingesting data, ensuring data quality, and generating insights while working under a Data Engineering Manager.

The Senior Analytics Engineer designs efficient data models, develops user-facing data products, optimizes BI layers, ensures data quality, and collaborates with stakeholders to meet business needs.

The Data Developer will optimize data warehouse models, design end-to-end data pipelines, and collaborate with teams to deliver data products.

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

The Data Analytics Developer will design and maintain data pipelines, ensure data quality, and collaborate with cross-functional teams to drive decision-making processes through analytics.

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

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

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

As a Data Engineer, you will develop and maintain data pipelines, build scalable data models, implement data security, and collaborate with teams to enhance data visibility and support AI initiatives.

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

As a Data Engineer II, you will build and maintain ETL pipelines, analyze requirements, and mentor junior colleagues while supporting customer implementations.

As a Senior Data Engineer, you will design and maintain data processing systems, manage high-volume data flows, and collaborate with various teams to enhance data insights and performance.

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 Staff Software Engineer on the Data Science team at Northbeam, you'll design and implement data-driven solutions, scale data products, and develop machine learning models, directly impacting the company's core product.

As a Senior Data Analytics Engineer, you'll develop data models, manage the data platform, mentor juniors, and ensure data quality for decision making.

As a Senior Data Developer, you will build data infrastructure, automate processes, develop ETL solutions, and create reports and analytics for various departments.

The Senior Data Engineer will architect scalable data pipelines, develop ETL processes, perform data analysis, and mentor juniors while ensuring data quality and governance.

As a Senior Data Engineer, design real-time data pipelines, improve data management solutions, and support data accessibility for blockchain applications.

The Senior Data Developer will design and develop scalable data pipelines, collaborate with cross-functional teams, and implement data governance best practices.

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

As a Senior Data Engineer, you'll design and implement data pipelines, architect AWS data infrastructure, ensure data quality, and support ML model training and inference for an AI-powered cybersecurity product.

Design and maintain Data Lakehouse solutions, develop ETL/ELT pipelines, optimize data storage, and collaborate with cloud and DevOps teams.

Design and improve data pipelines for machine learning in AdTech, collaborate on data solutions, manage large data sets, and mentor junior engineers.

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.