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 Data Developer will design and implement data pipelines, manage storage infrastructure, ensure data quality, and automate data management tasks, collaborating closely with analysts to provide high-quality data solutions.

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.

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

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

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

Design, develop and maintain interactive data visualizations and dashboards, analyze data for insights, and ensure data quality and integration.

The role involves developing data pipelines, creating BI dashboards, and collaborating with marketing and technical teams to improve decision-making and business performance through data insights.

The role involves developing efficient data pipelines, implementing best practices in data engineering, and leading the data engineering practice in a cross-functional team.

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.

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

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

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

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

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.

Lead the evolution of decentralized data infrastructure, design and maintain ETL/ELT pipelines, and collaborate across teams to derive insights from data.

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

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