Jr. R&D Data Engineer

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. R equired 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 e xert up to 25 pounds of force occasionally to lift, carry, push, pull or otherwise move objects, including the human body.