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Data Engineer

Diamond Foundry produces single-crystal diamond wafers for AI, cloud computing, electric-car power electronics, and 5G/6G wireless, using zero-emission energy.
$150,000 - $190,000
Data
Mid-Level Software Engineer
In-Person
501 - 1,000 Employees
3+ years of experience
AI · Automotive
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Description For Data Engineer

Diamond Foundry Inc. is at the forefront of technological innovation, producing the world's first single-crystal diamond wafers for cutting-edge industries including AI, cloud computing, and electric vehicle power electronics. As a profitable unicorn with $515m in funding, they're expanding their green manufacturing operations.

The Data Engineer role is a crucial position within their R&D Headquarters, focusing on strengthening their data infrastructure and analytics capabilities. The successful candidate will work alongside veteran material scientists and various engineering specialists to enhance their data-driven manufacturing systems. The position offers a competitive salary range of $150,000 - $190,000 plus equity, reflecting the technical expertise required.

Key responsibilities include developing robust data pipelines, implementing data processes, and coordinating with senior leadership to deliver scalable solutions. The ideal candidate should have at least 3 years of experience in data engineering, strong SQL expertise, and experience with cloud platforms and Python programming.

The role offers an opportunity to work on meaningful projects that directly impact the efficiency of manufacturing processes while contributing to environmentally conscious technology. The company provides comprehensive benefits including health insurance, retirement plans, and various insurance programs. Located in the Bay Area, this position requires on-site presence and offers the chance to work with cutting-edge technology in a collaborative environment.

Diamond Foundry's commitment to equal opportunity employment and comprehensive benefits package, combined with their innovative technology and sustainable practices, makes this an attractive opportunity for data professionals looking to make a significant impact in the semiconductor and clean technology sectors.

Last updated 21 days ago

Responsibilities For Data Engineer

  • Develop and maintain data pipelines and systems to ensure seamless integration of manufacturing and business data
  • Design and implement data processes, including extraction, cleansing, transformation, loading, and replication
  • Coordinate with stakeholders to deliver scalable and actionable data solutions
  • Assist in database optimization and application troubleshooting
  • Lead the development of best practices for data engineering, infrastructure, and real-time data processing

Requirements For Data Engineer

Python
  • Bachelor's Degree in Computer Science, Engineering, or related field
  • 3+ years experience in a data engineering or data-focused role
  • SQL expert with strong communication and data presentation skills
  • Working experience in cloud computing platforms (AWS, GCP, Azure)
  • Working experience in data integration, pipeline, and database optimization
  • Demonstrated ability to work independently and as a team member

Benefits For Data Engineer

Medical Insurance
401k
Equity
  • Health insurance
  • Flexible spending accounts
  • Retirement savings plans
  • Life and disability insurance
  • Paid time off
  • Employee discounts to VRAI
  • Equity/Company shares

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