EOS

Jr. R&D Data Engineer

EOS · Edison, New Jersey, United States

Energy Technology · 501-1,000 employees

20 h ago
Mid (2-5 yrs) Full-time United States
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About the role

The role involves maintaining and developing data infrastructure, including pipelines, dashboards, and research management tools for the battery cycling lab. You will collaborate with R&D staff to automate data reporting and support testing projects at the Edison facility.

What they look for

Python Data pipelines Data visualization SQL Linux Git Numpy Pandas Scipy Plotly dash Data acquisition Experiment tracking Dashboard development Hardware interfacing Technical documentation

Requirements

Candidates must hold a bachelor's degree in data science, computer science, statistics, or a physical science with at least 2 years of experience. Strong scripting skills, proficiency in Python, and familiarity with SQL and Linux are required.

Full description

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.