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© All Rights Reserved. ApplyBlast.com
Snowflake
As a Senior Data Engineer at Snowflake, you will design and build scalable data infrastructure that supports data science, analytics, and engineering teams across the company. This role involves creating custom data ingestion pipelines, collaborating with cross-functional stakeholders to define product requirements, and translating complex data insights for executive leadership. The ideal candidate operates with an experimental mindset to solve unstructured problems and reinvent data workflows within a dynamic environment.
Headquarters
St. Cloud, Minnesota, United States
Company Size
5001-10000 employees
Founded
2012
Snowflake is a data cloud platform that powers AI, data engineering, applications, and analytics on a trusted, scalable AI Data Cloud. It eliminates data silos by enabling unified data storage, secure data sharing, and governance across cloud environments, empowering collaboration and the creation of AI-powered data apps. The platform delivers high performance, security, and scalability to accelerate data-driven innovation and insights across the enterprise. Snowflake supports a broad ecosystem of partners and tools, helping organizations mobilize data, apps, and AI at scale.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Snowflake.
32% above the average for this role