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Senior Process Engineer, Data OptimizationManufacturing Operations * Weirton, WV * Full time

Form Energy
stock options, relocation assistance
United States, West Virginia, Weirton
1725 Main Street (Show on map)
Feb 03, 2026

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 to join our world-class Operations Engineering team to streamline the way we use lineside data as we scale to high-volume manufacturing. You will architect data analytics and custom dashboards that provide our team with the real-time visibility needed to make critical lineside decisions. You will sit at the intersection of data engineering and manufacturing, collaborating with both our Software and Manufacturing organizations. By bridging the gap between raw process data and actionable manufacturing insights, you will ensure our production lines operate with precision and speed. Your work will directly empower our team to refine and stabilize the complex processes essential to delivering our multi-day energy storage technology to the global electric grid.

This opportunity is based out of Form Factory 1 - Form Energy's 550,000-square-foot, state-of-the-art manufacturing facility located in Weirton, WV, a commutable distance from Pittsburgh. Purpose-built for high-volume, advanced battery production, Form Factory 1 is a hub of fast-moving, collaborative work driving a new era of large-scale American energy manufacturing in the heart of the Rust Belt.

Relocation assistance is available.

What you'll do:
  • Architect and own the data strategy for the Operations Engineering team, ensuring that high-volume manufacturing data is transformed into actionable intelligence for real-time lineside decision-making.

  • Use statistical methods to provide insights that drive improvements in Key Performance Indicators (KPIs) such as output, yield, and quality.

  • Lead the development of dashboards, reports, and visualizations that communicate complex data insights in a clear and actionable manner.

  • Partner cross-functionally to integrate data from MES, SCADA, and cloud databases into a cohesive reporting ecosystem that supports executive-level and floor-level stakeholders.

  • Ensure the integrity of the full data cycle, from lineside collection through storage, allowing our MES/ERP systems to provide a "single source of truth" for engineering teams.

  • Recommend data-driven process changes, equipment upgrades, or operational adjustments that enhance efficiency, reduce downtime, and improve overall production outcomes.

What you'll bring:
  • Bachelor's or Master's degree in Engineering, Data Science, Computer Science, or a related field.

  • 4+ years of experience in a fast-paced manufacturing or production development environment.

  • Advanced proficiency in SQL, Python, R, or other tools for data analysis, statistical analysis, and process optimization.

  • Applied experience with production line data collection and analysis.

  • Excellent problem-solving skills, attention to detail, and communication.

  • Intellectual curiosity and the ability to thrive on the complexity of scaling a first-of-its-kind energy storage technology.

  • Experience with Industrial IoT systems, including familiarity with SCADA, MES, and database architecture.

#LI-Onsite

#LI-LN1

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 accommodations@formenergy.com. 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.

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