Top Data Engineer Jobs in Vancouver

As a Full-Stack Engineer at Labelbox, you will develop and maintain AI tools, focusing on data training systems, intermediate user interfaces, scalable architectures, and work in a collaborative, fast-paced environment.

As a Senior Data Engineer, you will build scalable data pipelines, manage cloud infrastructure, and support analytics and data science teams, leveraging various technologies to deliver impactful solutions for clients.

Lead the design and development of scalable data acquisition systems, mentor engineers, and integrate diverse internal and external data sources. Architect platform components for high-volume data processing with a focus on reliability and governance.

The Data Conversion Engineer will manage ETL processes, develop data scripts, ensure data quality, and collaborate with teams to migrate data into utilities' systems.

As a Software Engineer 2 - Data Acquisition, you'll design and build data ingestion pipelines, ensuring quality and performance across multiple data domains while participating in code reviews and collaborating with data consumers.

As a Data Engineer at Northbeam, you will develop and maintain scalable data pipelines, optimize data ingestion, and provide technical leadership in a cross-functional team.

As a Staff Data Engineer, you'll lead the design and optimization of data infrastructure, mentor teams, and drive strategic data solutions for analytics and operational workloads.

As a Staff Data Engineer, you will design and build large-scale data processing systems, ensuring data integrity and reliability while collaborating with cross-functional teams to influence architecture and technical roadmap.

As a Senior Data Engineer at Wave, you will design and deploy components of a modern data platform, enhance AWS infrastructure, build data pipelines, and ensure data reliability and accessibility across teams, all while maintaining engagement with cross-functional stakeholders.

The Staff Data Engineer will design data pipelines, optimize ETL processes, and collaborate with various teams to enhance data-driven solutions for senior living technology.

Design, build, and support cloud infrastructure for real-time and batch data pipelines and ML workloads on Google Cloud. Lead architectural decisions, implement IaC (Terraform), manage CI/CD, participate in on-call support, troubleshoot production issues, and mentor data engineers to ensure secure, highly available, and governed data platform operations.

Design, build, and maintain scalable data systems and pipelines; ensure SLOs and reliability; partner with Product, Sales Ops, and Finance to deliver analytics; support self-service tooling; contribute to data architecture, testing, and documentation.

The Junior Data Infrastructure Engineer will manage and optimize AWS infrastructure, automate workflows, and support data engineering tasks to enhance BESS site performance.

Design and build data architectures, oversee ETL/ELT pipelines, collaborate with stakeholders to optimize data usage, and implement data quality frameworks.

Design and manage distributed data systems for processing and transforming datasets for AI model training, ensuring data quality and scalability.

As a Forward Deployed Engineer, you will design scalable data pipelines, optimize code for data processing, and collaborate with AI teams to meet their data needs.