We’re Building the Future! Ever want to do hard work that will make a REAL difference in the world? Do you want to solve some of the most difficult problems with a team of exceptional players at a company that does not believe in impossible?

About The Company

Powin Energy is a leading producer of utility scale modular battery energy storage system (complete with a patented, advanced, cloud-based monitoring/control system). That means we build power plants out of batteries that put coal and gas generators out of business and enable sustainable viability for renewable energy sources like solar and wind.

Powin is, and will continue to be, one of a handful of companies that will provide the equipment necessary to make this happen. Powin has distinct competitive advantages: cost-effectiveness; reliability; scalability; deploy-ability; and operational sophistication. Every day we work to ensure that we maintain these competitive advantages and our position as a global leader in providing turnkey, battery energy storage solutions for utility-scale, commercial and industrial, and microgrid applications.

Summary:

Powin’s Product Analytics group seeks a Data Engineer with strong programming capabilities and a passion for clean energy. The Product Analytics leads data science at Powin, writing and maintaining software for product and market optimization, system health analysis, predictive maintenance, and among other initiatives. As a member of Product Analytics team, you will be a core contributor to a growing portfolio of analytics and machine learning tools. This position will directly help expand our product offerings, strengthen our software architecture, maintain, and improve the reliability of deployed assets.

Job Details:

  • Build and maintain reliable data pipelines leveraging Python, Apache Airflow, and related technologies
  • Provide ongoing support for applications, processes running on AWS that run analytics and data science activities
  • Harden and productionize analytics models, through code review, testing, documentation, and automation
  • Develop, test, and deploy models that simulate the physical behavior of energy storage systems and components
  • Conduct machine learning experimentation across the development lifecycle, from conception through testing and final conclusions, to identify and test improvements to Powin’s control systems and software

Qualifications:

  • BA/BS degree or equivalent experience
  • Minimum of 4 years of relevant experience in software development, preferably in supporting systems for managing and processing petabyte-scale data
  • Advanced proficiency in Python
  • Proficiency with software build and deployment tools such as Docker
  • Proficiency with infrastructure as code and configuration as code tools such as Terraform or Ansible
  • Experience with cloud-based computing services such as AWS
  • Strong proficiency with software development best practices, such as version control, code reusability, testing, and documentation
  • Strong communication skills, including an ability to effectively engage and collaborate with teams from engineering, sales, and operations
  • Background in computer science, mathematics, engineering, or related technical field


Be a part of the future by making a difference with Powin!