Top Data Engineer Jobs in Vancouver

The Principal Engineer will lead the architecture and implementation of AI-powered systems for data analytics, collaborating with teams to create closed-loop systems and driving engineering excellence while measuring business outcomes.

The Senior Data Engineer will design, develop, and maintain data pipelines, implement cloud-based solutions, and enhance data platform capabilities while collaborating with cross-functional teams.

Lead and mentor a team of developers, oversee cloud product delivery, drive engineering practices, and ensure high-quality standards while contributing to cross-functional initiatives.

Design, build, and optimize cloud-based data platform components: ingest and transform varied datasets, create metadata-driven pipelines and data APIs, support AI/ML infrastructure, implement monitoring and metrics, and improve data processes to enable analytics and operational systems.

The Senior Data Engineer is responsible for architecting and delivering scalable data infrastructure and pipelines while collaborating across teams, integrating AI capabilities, and mentoring other engineers.

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

The Data Engineer II will design and scale a modern data platform, focusing on building scalable data pipelines, support AI use cases, and ensure data quality.

The Senior Data Engineer will design, build, and maintain reliable data pipelines, ensuring data quality and performance while collaborating with cross-functional teams to enhance the data platform.

As a Software Engineer on Glean's Data Foundations team, you'll build and scale data ingestion connectors, transforming unstructured content into structured data while ensuring system reliability and security throughout the data processing pipeline.

As a Data Engineer, you will design and build data infrastructure, ensuring data continuity, modernizing data systems, and collaborating with teams to optimize data workflows.

As a Senior Data Engineer, you'll design and maintain cloud-native data infrastructure, develop data pipelines, and ensure high-quality data solutions while mentoring teammates and influencing strategy across the data ecosystem.

The Senior Data Engineer will develop and deploy machine learning models, build end-to-end ML pipelines, optimize performance, and collaborate across teams to enhance AI capabilities at ClickUp.

As a Founding Senior Data Engineer, you will build the analytics foundation, design data pipelines, track metrics, and collaborate with teams for data-driven decisions.

The Senior Software Engineer will develop the data platform, build services, improve operational excellence, and mentor other engineers in a data-intensive environment.

Lead the design and development of scalable data acquisition systems, architect core components, and mentor engineers while collaborating across teams to fulfill data integration needs.

As a Senior Software Engineer, you will own data framework integrations, contribute to high-performance database engineering, and enhance developer experience in JVM-based environments.

The Staff Data Engineer role involves architecting and optimizing data systems, ensuring high-volume pipeline management, and mentoring other engineers while setting the standard for data engineering excellence in healthcare.

Design and build scalable distributed ingestion services; maintain event pipelines and collaborate with multiple teams. Ensure system reliability and improve code practices.

Build and maintain backend services, APIs, and data platform components; contribute to ELT/ETL pipelines (real-time and batch), integrations with data providers, testing, and cross-functional engineering projects with high ownership.

Design and deploy scalable data infrastructure and models, maintain CDC pipelines, build reporting tools and dashboards, write high-performance SQL, partner with product and engineering to enable enterprise-wide analytics and data-driven decision making.

The role involves deep troubleshooting, root cause analysis, and architectural optimization in the Data and AI ecosystem to enhance platform reliability and supportability.

As a Senior Engineer on the Data Platform team, you will design and build data pipelines and optimize storage systems to enhance analytics and machine learning capabilities.

Design and maintain scalable data pipelines, manage Kubernetes environments, ensure operational excellence and security in data infrastructure solutions.

The Staff Data Engineer will design and maintain scalable data pipelines, lead a team of engineers, and ensure data integrity and governance at Jobber.

Lead and optimize data engineering efforts to create scalable ETL processes ensuring reliable data for business intelligence and analytics.