About Eos Energy Enterprises Eos Energy Enterprises, Inc. is accelerating the shift to American energy independence with positively ingenious solutions that transform how the world stores power. Our breakthrough Znyth™ aqueous zinc battery was designed to overcome the limitations of conventional lithium-ion technology. It is safe, scalable, efficient, sustainable, manufactured in the U.S., and the core of our innovative systems that today provides utility, industrial, and commercial customers with a proven, reliable energy storage alternative for 3 to 12-hour applications. Eos was founded in 2008 and is headquartered in Edison, New Jersey. For more information about Eos (NASDAQ: EOSE), visit eose.com. Assist R&D and Product Testing group’s efforts by building and maintaining data pipelines, dashboards, and other automated reporting infrastructure. Responsibilities • Maintain data infrastructure for Eos battery cycling lab, including data transfer processes, metadata database, and linux server. • Maintain and develop R&D’s research management tool suite, including data plotting, experiment tracking, test tracking, and build & materials tracking dashboards. • Develop and support new automated data pipelines and dashboards to support future R&D and Product Testing projects. In particular, customize and integrate data solutions for string and container level systems testing exercises at the Edison facility. • Support custom data reporting and tracking requirements. • Work with R&D staff to maintain and execute development plan for build out of research support tool suite for continual improvement and to address new requirements as they arise. Knowledge, Skills, and Abilities • Strong general-purpose scripting skills • Experience with data visualization • Python strongly preferred (numerical/data packages such as Numpy, Pandas, Scipy, etc… beneficial). • Some knowledge of SQL databases. • Basic familiarity with Linux. • Ability to work independently and well within a team. • Experience with versioning tools (git) and generating documentation. Any of the below are beneficial: • Experience building interactive dashboards • Experience with automated data handling systems • Experience with plotly dash. • Experience interfacing with physical hardware interfaces from sensors/data acquisition platforms. Education and Experience • Bachelor's degree in data science, computer science, statistics, or a physical science or similar required. • Minimum of 2 years' experience. Working Conditions • Office Environment - Must be able to remain in a stationary position 50% of the time and occasionally move about inside the office to access file cabinets, office machinery, etc. Required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading. May be required to exert up to 25 pounds of force occasionally to lift, carry, push, pull or otherwise move objects, including the human body.