Top Data Engineer Jobs in Vancouver

As a Senior Data Engineer, you will develop and maintain end-to-end data pipelines, manage data integration, and enhance data architecture while collaborating across teams in a fast-paced environment.

As a Data Engineer, you will build and maintain ETL pipelines, analyze requirements, develop databases, and mentor junior team members while collaborating with other engineers to support customer implementations.

As a Data Engineer at Clio, you will build data pipelines and warehouses, implement data ingestion, and collaborate with engineers to enhance data integrity and documentation.

The Staff Data Engineer will build and maintain large-scale data pipelines, define data models, and establish data quality and governance frameworks, collaborating with business units and engineering teams.

The role involves managing BI tools, developing ETL pipelines, creating documentation, training team members, and ensuring compliance with standards.

Design and develop data models in Snowflake, implement ETL processes, and support Guidewire Claims workflows with SQL querying and cloud integration.

The Senior Data Engineer will design and implement large-scale data solutions, collaborate with stakeholders, mentor team members, and ensure efficient data processing and governance.

As a Data Engineer, you will design, build, and maintain data pipelines and ETL processes, ensuring data quality and optimizing workflows for performance.

As a Data Engineer at Sporty, you will design and maintain data pipelines, ensure data quality, and work on data applications and architectures for machine learning initiatives.

The Senior Data Engineer will build data pipelines and warehouses, collaborate on data system creation, and lead projects while mentoring junior engineers.

Lead the design and development of scalable data architecture and optimization of data pipelines while mentoring junior engineers.

The Senior Data Engineer will design and manage scalable data architectures, optimize databases, and ensure data accuracy while collaborating with various teams to support data-driven strategies.

As a Customer Data Engineer, you will deploy data models, optimize the data warehouse, and collaborate with cross-functional teams to enhance customer data utilization.

Seeking an experienced Data Engineer to design ETL pipelines, maintain data infrastructure, and collaborate with data scientists to deploy ML models.

Develop high-quality curated data products, ensure data quality and governance, collaborate with technical stewards, and follow Agile methodology.

Lead data ingestion activities on the Databricks platform, manage ETL/ELT pipelines, optimize data flows, and ensure compliance with guidelines. Mentor the ingestion team and oversee integration processes for scalability and speed.

Develop high-quality curated data products, ensure alignment with business needs, and follow data governance standards while working in a remote Agile environment.