Top Data Engineer Jobs in Vancouver

As a Staff Data Engineer, you will lead the development of data infrastructure for marketing analytics at Square. This role involves building pipelines, translating stakeholder needs into ETL requirements, and analyzing data trends to support business reporting and decision-making.

As a Senior Data Engineer at Cash App, you will design, develop, and maintain data products, support analytics, and work on diverse projects involving AWS Cloud Infrastructure, ETL/data modeling, mentoring team members, and collaborating with various stakeholders. You will also manage secure and performant code and participate in after-hours support.

The Senior Data Engineer will design, develop, and maintain data products for Block, focusing on cloud infrastructure, ETL/data modeling, and collaboration with various stakeholders. The role requires coding in Python and SQL, maintaining an AWS cloud platform, and mentoring team members while handling complex data projects.

As a Senior Data Engineer, you will design and maintain data infrastructure for Square's Marketing team, focusing on web event data. Responsibilities include building data pipelines, translating requirements for ETL processes, analyzing data sources, monitoring pipeline performance, and improving data quality and efficiency. Your work will significantly influence business decisions and reporting accuracy.

As a Data Engineer at Tiger Analytics, you will design, build, and maintain data pipelines and infrastructure, supporting data integration and collaboration with data scientists and analysts to facilitate data-driven decision making.

The Data Engineer will design databases, manage complex data sets, and develop self-service dashboards. They will apply analytical skills to derive insights for solving business problems and enhance data analytics capabilities within the company.

As a Data Engineer, you will create and manage data pipelines, collaborate with data scientists, and ensure data quality for ML operations. Your role includes transforming data, providing insights, and documenting model validation, while employing best practices in data management and engineering.

The Senior Data Engineer is responsible for ingesting, cleansing, transforming, and loading large datasets into cloud infrastructure. This role involves designing complex data systems, maintaining data standards, and automating processes while ensuring the reliability and stability of these systems. Additional responsibilities include documentation, vendor coordination, and providing consultative support to business needs.