Job Location : New York,NY, USA
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This range is provided by MotherDuck. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range$140,000.00/yr - $240,000.00/yr
About MotherDuckDon't let the quirky name fool you! We're on a mission to radically transform the data analyst user experience. We empower and delight analysts using a novel cloud architecture built on top of DuckDB, an open source foundation with a vibrant community. Our team is a diverse mix of passionate, collaborative and empathetic data industry veterans from Google, Amazon, Meta, Snowflake, Looker, SingleStore, Databricks, and the like.Our team is a diverse group of passionate, collaborative, and empathetic data industry veterans from companies like Google, Amazon, Meta, Snowflake, SingleStore, and Databricks. We're distributed across four engineering hubs throughout the US and Europe.At MotherDuck, we're building a modern, cloud-native data analytics platform around DuckDB—the beloved in-process SQL database. A foundational component of our platform is a file system abstraction that allows DuckDB to interact with cloud storage backends as if they were local file systems. We're looking for a Software Engineer with deep expertise in storage systems to help refine, optimize, and extend this critical layer.In this role, you'll focus on challenges such as building a robust FUSE interface, enhancing performance across various cloud storage backends, and improving DuckDB's file system integration. You'll work closely with engineers, cross-functional teams, and customers to ensure the storage abstraction is reliable, efficient, and user-friendly.You're someone who thrives on solving complex storage and file system problems, enjoys working in fast-paced environments, and takes pride in building performant, maintainable systems.What you will do
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