Data Engineer

4 weeks ago


Beaverton, United States Nanoverse Technologies, Ltd. Full time
Job DescriptionJob Description

About Us:

Nanoverse Technologies is a well-funded startup with a Center of Excellence in Beaverton, Oregon. We create innovative metrology, laser processing and solid-state energy devices that have a disruptive and immediate impact in high technology industries. This is a unique opportunity to join a rapidly growing company developing best-in-class solutions.

About You:

An individual that thrives in a collaborative working environment that flexes your skills as a Data Engineer. You are an open communicator, take feedback from key stakeholders, and enjoy a fast-paced environment. You think about the problem, are comfortable with pivoting when needed, and take pride in proposing and developing elegant solutions.

What you will do:

  • Develop software solutions for processing measurement data from IoT-like devices to extract dimensional, compositional, and other properties at speeds that will support high-volume manufacturing.
  • Design and model structures for storage and access of large data sets that are scalable.
  • Design, build, and maintain clear, efficient, reusable, and reliable code using C# and other languages as needed.
  • Take ownership of the infrastructure around the data integrity, storage, and security.
  • Propose designs and alternatives for internal discussion with key stakeholders and management resulting in functional applications.
  • Identify bottlenecks, bugs and devise solutions to these problems.
  • Respond to market requirement documents as needed by specifying software architectural requirements, storyboards, epics, and user stories.
  • Propose designs and alternatives for internal discussion with key stakeholders and management resulting in functional applications.
  • Contribute to the development of training material in partnership with technical writers.

What we are looking for:

  • B.S. in Computer Science, Engineering, or related field.
  • 3-5 years of professional experience as a Data Engineer.
  • Candidate must have advanced experience with SQL, temporal data stores, data pipelines, and data warehouses.
  • Candidate must have experience working with C#, .NET, Azure or equivalent tools.
  • Demonstrated history of unit testing, static analysis, and delivering quality software.
  • Excellent written and verbal communication skills are required.
  • Familiarity with software development for IoT devices or capital equipment. High frequency data is a plus.

How we measure success:

  • Contribute as an individual and work as part of a team.
  • Produce high quality work with attention to detail, maintaining code quality, organization, and automatization.
  • Do what it takes to meet the schedule and communicate timely/openly obstacles and identified risk.
  • Track and communicate issues related to instrument operations (bugs) and performance back to senior management as needed.


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