Top Data Engineer Jobs in Vancouver

Lead data engineering efforts focused on building scalable ETL pipelines and data lake infrastructure to support analytics and business intelligence needs. Collaborate with cross-functional teams to ensure data integrity and contribute to the future of the data team.

The Senior Data Engineer at League will develop and support data services and software products, ensuring performance and security of data infrastructure while collaborating with cross-functional teams.

As a Senior Data Developer, you will create infrastructure-as-code pipelines, automate file processing, develop ETL solutions, and generate reports and analytics to support various departments.

Lead the design and development of a data platform, integrating data sources, driving architecture migration, and ensuring robust data governance and API development.

The Senior Backend Engineer will develop and maintain a data lake platform, write reliable code, and collaborate with other engineers on design and architecture.

The Data Visualization Engineer will design and implement data visualization solutions, ensuring high-quality data and user experience while enabling self-service insights across business functions.

Design and build platform services at Atlan, focusing on app lifecycle, distribution, and system architecture for reliability and scale.

Design and build scalable ETL/ELT pipelines for clinical data, optimize data architectures in AWS, support AI workflows and ensure compliance and data governance.

The Senior Software Engineer will design and build scalable data and ML platforms, ensuring high-quality data flow while improving system efficiency and supporting internal teams.

Join Quora's data infrastructure team to build and maintain data lakes, pipelines, query engines, and dashboards. Work on scalability, cost and performance improvements, participate in planning and on-call rotations, and contribute to tooling and reliability. Mentorship and training provided for new graduates.

The role involves data collection for model training, extending cloud infrastructure, and collaborating on the dataset roadmap to enhance product offerings.

As a Senior Data Engineer at nesto, you will design, build, and optimize data pipelines in Azure and GCP, manage databases, enable BI reporting, and ensure data security and compliance.

As a founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.

The Senior Software Engineer I will lead projects, mentor engineers, and design scalable solutions while developing features, APIs, and collaborating in an Agile environment.

In this role, you'll design and implement large-scale distributed data processing systems, creating robust data pipelines while ensuring scalability and security for processing billions in bookings.

The Staff Data Engineer will design large-scale data systems, create data pipelines, and implement performance optimizations using distributed systems and various technologies, while collaborating with a remote team.

As a Staff Data Engineer, you will design distributed data systems, build scalable data pipelines, and ensure performance optimization and data governance.

As a Staff Data Engineer at Cloudbeds, you will design and implement scalable data systems using various technologies, optimizing performance and ensuring data security while collaborating with cross-functional teams to drive innovation.

The Senior Data Engineer at ClickUp will design and maintain cloud-native data infrastructure, develop data pipelines, automate deployments, and work with cross-functional teams to enhance data solutions while mentoring peers.

The role involves designing data pipelines and models for Stripe's Growth and Marketing teams, ensuring data integrity and performance metrics. Collaboration with various teams to enhance data visibility and support is crucial.

The Staff Data Engineer will lead the technical vision and architecture of data engineering, develop pipelines, and mentor junior engineers while working with cloud environments and various data tools.

The Senior Data Platform Engineer will manage and develop the data infrastructure on Databricks and AWS, ensuring scalable and efficient data capabilities while collaborating across teams.

Responsible for database administration, data engineering, and operations within the Data Lake and Data Warehouse. Lead ETL design, troubleshoot production issues, and mentor junior engineers.

You will architect and develop new features for SELECT, focusing on cost management, UI components, data visualization, and improving application performance.

Design and build scalable backend services for a trading platform, focusing on data ingestion, processing pipelines, and APIs while ensuring system reliability and integrating with various teams.