Job Description
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer (AI Native) in Canada.
Join a high-impact data engineering team responsible for building and scaling modern data infrastructure that powers products used by millions of people globally. In this role, you will design and maintain large-scale data platforms handling billions of events daily, enabling analytics, product innovation, and strategic decision-making. Working in a fully remote, AI-native environment, you will leverage cutting-edge tools and technologies to accelerate development and improve operational efficiency. You'll collaborate closely with analytics, data science, and product teams to transform complex datasets into reliable, actionable insights. This is an excellent opportunity for an experienced engineer who thrives in distributed systems, cloud-native architectures, and AI-enhanced engineering workflows. Your contributions will directly influence platform reliability, data accessibility, and the future evolution of data engineering practices.
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer (AI Native) in Canada.
Join a high-impact data engineering team responsible for building and scaling modern data infrastructure that powers products used by millions of people globally. In this role, you will design and maintain large-scale data platforms handling billions of events daily, enabling analytics, product innovation, and strategic decision-making. Working in a fully remote, AI-native environment, you will leverage cutting-edge tools and technologies to accelerate development and improve operational efficiency. You'll collaborate closely with analytics, data science, and product teams to transform complex datasets into reliable, actionable insights. This is an excellent opportunity for an experienced engineer who thrives in distributed systems, cloud-native architectures, and AI-enhanced engineering workflows. Your contributions will directly influence platform reliability, data accessibility, and the future evolution of data engineering practices.
