Senior Process Engineer, Data Optimization

Form Energy; Weirton (WV); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Relocation assistance

Competitive salaries and stock options

Holistic benefits package

Paid parental leave

Job summary

Form Energy is seeking a Senior Process Engineer with a strong background in Data Optimization to join the NPI Operations team at its Weirton facility. You will lead and support initial operational production assembly processes by providing data analytics tools to optimize line performance.

This role integrates, shares, and deepens process data systems for our first-of-a-kind manufacturing facility in a fast-moving company with breakthrough technology and a mission-driven culture.

Qualifications

• Bachelor’s degree in Engineering, Data Science, Computer Science, or a related field and 5+ years experience in a production environment, or similar academic experience.
• Excellence in SQL, Python, R, or other data analysis tools.
• Ability to define data architecture in cloud-based data platforms.
• Experience in data analysis, statistical analysis, and process optimization.
• Hands‑on experience with production line data collection and analysis.
• Excellent problem‑solving skills and attention to detail.
• Strong communication and collaboration skills.

Responsibilities

• Conduct in-depth analysis of process data to identify patterns, correlations, and trends that impact production line performance.
• Use statistical methods to provide insights that drive improvements in KPIs such as output, yield, and quality.
• Design and build customized data analytics tools that enable process and equipment engineers to better understand and troubleshoot production issues.
• Collaborate with cross-functional teams to continuously refine and optimize manufacturing processes.
• Utilize data-driven approaches to recommend process changes, equipment upgrades, or operational adjustments that enhance efficiency, reduce downtime, and improve overall production outcomes.
• Work to improve the accuracy, consistency, and accessibility of process data by developing automated systems for real-time data collection and reporting to ensure that relevant stakeholders have the information they need to make informed decisions quickly.
• Develop dashboards, reports, and visualizations that communicate complex data insights in a clear and actionable manner to stakeholders at all levels.

Skills

SQL

Python

Data analysis

Statistical analysis

Education

Bachelor’s degree in Engineering or Data Science or CS

Tools

Cloud-based data platforms

Job description

Are you ready to build America’s energy future? Form Energy is an American manufacturing and energy technology company. We’re revolutionizing energy storage with cost-effective, multi-day technology designed to keep the electric grid secure and reliable, even during extended periods of stress. By strengthening the electric system and reimagining what’s possible, we’re giving clean energy a whole new form!

In recent years, Form Energy has earned a number of accolades, including being named by TIME as a “Best Invention”, MIT Technology Review as a “Top Climate Tech Company To Watch”, and Fast Company as “One of the Next Big Things In Tech”. We are making rapid progress on our mission of delivering energy storage for a better world, and our team is growing just as rapidly to meet demand. We have signed contracts with leading electric utilities across the United States and production of our iron-air batteries is underway at our first high-volume manufacturing facility in West Virginia.

Working for Form Energy is more than just a job, it’s a chance to be part of something extraordinary. And now - right as we significantly scale up battery manufacturing - might be the most exciting moment in the company’s history to join. We are assembling a team of highly talented and driven individuals across the country. Driven by our core values of humanity, excellence, and creativity, our team is determined to deliver on our mission and transform the energy landscape for the better.

Feeling energized to make a meaningful impact on the world? Then keep reading - you’ve come to the right place.

Role Description

We are seeking a Senior Process Engineer with a strong background in Data Optimization to join the NPI Operations team here at Form Energy. In this position, you will be responsible for leading and supporting the initial operational production assembly processes by providing data analytics tools to optimize line performance. You will use your strong background in data and process engineering within an industrial environment to integrate, share, and deepen process data systems for our first of a kind manufacturing facility. This is an exciting opportunity to help shape and be part of the growth of a fast-moving company with breakthrough technology and an incredible mission!

Relocation Assistance is available.

What You'll Do

• Conduct in-depth analysis of process data to identify patterns, correlations, and trends that impact production line performance.
• Use statistical methods to provide insights that drive improvements in Key Performance Indicators (KPIs) such as output, yield, and quality.
• Design and build customized data analytics tools that enable process and equipment engineers to better understand and troubleshoot production issues.
• Collaborate with cross-functional teams to continuously refine and optimize manufacturing processes.
• Utilize data-driven approaches to recommend process changes, equipment upgrades, or operational adjustments that enhance efficiency, reduce downtime, and improve overall production outcomes.
• Work to improve the accuracy, consistency, and accessibility of process data by developing automated systems for real-time data collection and reporting to ensure that relevant stakeholders have the information they need to make informed decisions quickly.
• Develop dashboards, reports, and visualizations that communicate complex data insights in a clear and actionable manner to stakeholders at all levels.

What You'll Bring

• Bachelor’s degree in Engineering, Data Science, Computer Science, or a related field and 5+ years experience in a production environment, or similar academic experience
• Excellence in SQL, Python, R, or other data analysis tools.
• Ability to define data architecture in cloud-based data platforms.
• Experience in data analysis, statistical analysis, and process optimization.
• Hands‑on experience with production line data collection and analysis.
• Excellent problem‑solving skills and attention to detail.
• Strong communication and collaboration skills.

Where You'll Work

This role is based at Form Factory 1 in Weirton, WV—an easy commute from the city of Pittsburgh, PA. This 550,000-square-foot facility is our hub for high-volume battery production and a leader in the new era of American energy manufacturing.

Relocation assistance is available.

Humanity is a cornerstone of Form Energy’s culture, and we make sure our compensation and benefits reflect that. Form Energy offers competitive salaries, stock options, and a holistic benefits package to ensure all employees have what they need to thrive while working here.

When it comes to you and your family’s health, we cover 100% of medical, dental, and vision premiums for full‑time employees - and 80% of healthcare premiums for dependents. This starts from day one. We also offer at least 12 weeks of paid leave for new parents (up to 20 weeks for birthing parents), and generous vacation policies to give employees time to recharge when needed.

To build America’s energy future, we need everyone at the table. We are proud to be an equal opportunity employer, and encourage candidates from all backgrounds to apply to our open jobs.

If you may require reasonable accommodations to participate in our interview process, please contact [e-mail]. Requests for accommodations will be treated with discretion.

Form Energy is committed to maintaining the privacy of our applicants. Please be aware that we will never solicit sensitive personal information such as Social Security numbers or bank account details during the recruiting or hiring process.