Diamond Foundry Inc. is solving the thermal limitation at the foundation of today’s most exciting tech industries - AI & cloud compute, electric-car power electronics, and 5G/6G wireless. We have managed to produce the world’s first single-crystal diamond wafers and are now on a mission to put a diamond behind every chip. We are the rare unicorn that has grown fast and profitably. We received $515m in funding and are executing a multi-$B expansion plan for one of the greenest forms of tech manufacturing: converting greenhouse gas into diamond wafers using zero-emission energy.
We are looking for a detail-oriented, hands-on Data Engineer to strengthen and grow our data collection, analysis, and presentation pipelines, which we use to report key business metrics and analyze our manufacturing process in real time. You will work with a team of veteran material scientists, and mechanical, electrical, metrology, and software engineers, supporting and leading various development and analytics projects to enhance, test, and visualize our data-driven manufacturing systems. Your goal will be to achieve maximum productivity for our production line by improving data ingestion and extraction techniques, standardizing collection and presentation methods, and ensuring data security. A strong candidate has a subset of the listed skills/qualifications and an interest in developing others.

REQUIREMENTS

• Bachelor’s Degree in Computer Science, Engineering, or a related field, with 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), and scripting languages (e.g. Python)
• Working experience in data integration, pipeline, and database optimization
• Demonstrated ability to work independently under limited supervision and as a team member in a collaborative environment

PREFERRED QUALIFICATIONS

• Advanced degree in Computer Science, Engineering, or a related field
• Experience in the semiconductor industry
• Experience in Critical Manufacturing Execution System
• Experience in data visualization tools (Grafana, Looker, Tableau, Power BI)
  This position is eligible for company shares. Actual compensation may be higher or lower in the range based on various factors, including, but not limited to a candidate’s job duties, experience, and expertise. We will also consider higher-level candidates and salary will be adjusted accordingly.
  Diamond Foundry believes in supporting our employees from the workplace to their personal and home life. We provide eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. Perks include employee discounts to VRAI. All benefits offered are available starting your first day.
  Diamond Foundry is an Equal Opportunity Employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor under federal, state or local law.
  Diamond Foundry Inc. is committed to operating in full compliance with all applicable state and federal laws. Our commitment extends to ensuring that our manufacturing and engineering departments adhere to the highest standards of legal and regulatory compliance. Additionally, these departments may have specific physical requirements to ensure the safety and efficiency of our operations. We prioritize the well-being of our employees and strive to create a work environment that promotes both legal compliance and the optimal functioning of our manufacturing and engineering processes.

Manufacturing and Engineering Departments Physical Requirements:

• Use appropriate PPE and follow all safety policies, practices, and procedures.
• This position will often: Sit, stand for long periods, walk, grasp, reach with hands and arms, lift below and above shoulders, bend, twist at the waist, climb, balance, stoop, squat, kneel, crawl, talk, hear, see, use fine finger manipulation, and complete repetitive motions.
• Some tasks may require the use of ladders or stairs
• Some tasks may require driving or the use of foot controls
• Lift/carry and push/pull up to 50 pound

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment.
Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9

• 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, ensuring data accuracy and integrity
• Coordinate with a broad range of stakeholders, including senior business leadership, to deliver scalable and actionable data solutions
• Assist in database optimization and application troubleshooting, document workflows, and improve visibility of data and software issues among internal teams
• Lead the development of best practices for data engineering, infrastructure, and real-time data processing, sourcing and implementing solutions as needed