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.

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 develop scalable data models, build data pipelines, automate ETL processes, collaborate with stakeholders, and ensure data integrity and governance.

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

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

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.

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

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

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.

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.

Lead a data development team to enhance data products using cloud-based data warehouses. Collaborate with various teams to meet data needs and maintain code quality.

Lead data engineering efforts for user platform and recommendation engine, ensuring data accuracy and performance across various pipelines while mentoring junior engineers.