Job description

TAE Technologies develops breakthrough solutions to the most complex problems of our time. Our core mission is to develop and distribute safe, cost-effective commercial fusion energy with the cleanest environmental profile. With close to 1,000 issued and pending patents and over $600 million USD in private capital, we are now on the cusp of delivering a transformational energy source capable of sustaining the planet for thousands of years. Our foundational technology has catalyzed a portfolio of spinoff opportunities in critical markets such as electric mobility, power management, life sciences and more. Multidisciplinary and mission-driven by nature, TAE Technologies is leveraging proprietary science and engineering to create a bright future for us all.

We currently have an opening at our Foothill Ranch, CA (Orange County) facility for a Data Engineer in TAE Technologies’ Data Science team, within the AI organization. As a Data Engineer, you will partner with data scientists and physicists to help define and refine their data needs. You will use this information to create, maintain, and/or enhance scalable and sustainable data pipelines and structures. You will also help create and maintain detailed, comprehensive, and well-structured test/validation suites on all data and data producers. You will stay on top of the latest data technology developments and act as a knowledge hub for data-related issues at TAE Technologies.


This is a unique opportunity for a Data Engineer to work directly within a data science team that is helping solve some of the biggest problems humanity is facing. If you're motivated by solving challenging problems and making an impact with data, this is the role for you. We are focused on building a diverse and inclusive workforce. If you’re excited about this role, but do not meet 100% of the qualifications listed, we encourage you to apply. This is a full-time position with a rich compensation package.


Working at TAE:

We are a diverse group of 200 brilliant physicists, engineers and other experts from 30 countries around the world – all committed to improving our world through clean technology. TAE values individual expertise within our culture of collaboration. We offer generous benefits, vacation, career development programs and intramural ping pong.


Essential Duties and Responsibilities:

  • Create, maintain, and/or enhance scalable and sustainable data pipelines and structures
  • Ensure ongoing data quality and manage data governance that enables safe and rapid adoption, integration, and accuracy of data
  • Create and maintain detailed, comprehensive, and well-structured test/validation suites on data and data producers
  • Identify and report data resilience issues to key stakeholders
  • Easily, effectively, and successfully work on multiple tasks both independently and collaboratively within a group

Required Skills:

  • 3-5 years as a Data Engineer showing incremental levels of complexity and responsibility

Software Knowledge and Skills:

  • You should have a passion for data accuracy and integrity
  • Demonstrated experience working with ETL processes/pipelines with large volumes of data and strict expectations for reliability and performance
  • Experience in virtualization or cloud native architectures, especially with Google Cloud Platform
  • Experience or knowledge of data management fundamentals, data storage principles, and/or storage tiering
  • Demonstrated experience scripting with Python and/or Shell
  • Proficient working with Unix/Linux operating systems
  • Experience or knowledge of SQL
  • Working knowledge of Git

Preferred Skills:

  • Experience architecting data solutions in Google Cloud Platform
  • Experience with data migration strategies to cloud
  • Experience with developing data warehousing, data lakes, batch and/or real-time event processing
  • Experience and/or interest in Machine Learning
  • Collaborative environment experience (Git, JIRA, Confluence)
  • Able to work in a diverse R&D environment and professionally communicate with co-workers at all levels

Education:

  • BS or MS Degree in Computer Science or the equivalent in experience as a Data Engineer

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