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Senior Data Engineer - Product

Snowflake · US-CA-Menlo Park

RemoteSeniorData and MLProduct ManagementProduct ManagementPosted 2 months ago

About this role

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are looking for a skilled Snowflake Data Engineer to join our Product and Data Science team. The ideal candidate brings a solid background in data engineering, with deep expertise in Snowflake and cloud technologies. In this role, you will design, build, and maintain robust data pipelines, ensuring our data infrastructure is scalable, reliable, and efficient. You will partner closely with product and data scientists, providing tools, automation, and best practices to accelerate their work, improve data quality, and ensure consistency across pipelines and dashboards. Additionally, you will play a critical role in cost optimization for data operations, owning efficient data modeling and pipeline performance. This position is also key in building and scaling our enterprise data warehouse, helping to shape the future of our data ecosystem. Responsibilities - Design, develop, and maintain scalable data pipelines using Snowflake and cloud technologies. - Own and manage cost optimization for Product and Data Science team operations. - Optimize pipelines for performance, reliability, and efficiency. - Build and maintain dashboards and reporting platforms using Streamlit. - Collaborate with cross-functional teams to gather requirements and deliver robust data solutions. - Work wi

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