Top Data Engineer Jobs in Vancouver

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.

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.

The role involves combining data engineering with product management to enhance data products for various brands, ensuring accurate data flow and stakeholder communication while maintaining data best practices.

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

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.

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.

As a Senior Data Engineer at Afresh, you'll improve how customer data is integrated and processed, designing robust ETLs and enhancing platform tools to support scalability and accuracy in handling large datasets.

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

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

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.