Industrial Data Systems Engineer

Union Technologies exists to protect, defend, and ensure the United States remains secure and free—so the West and her allies win. As The Energetics Prime, we are redefining the future of munitions with advanced technologies, resilient supply chains, and a relentless commitment to innovation.

We are looking for an Industrial Data System Engineer to develop robust data collection systems and experimental tools, enabling data-driven insights for process optimization during line bring-up and beyond.

Responsibilities:

• Design and build comprehensive data collection systems tailored to complex manufacturing processes, including forging tool geometry optimization and precision heat treatment.
• Develop and implement experimental frameworks to rapidly evaluate process parameters, supporting real-time decision-making.
• Integrate and extend our SCADA/MES systems to capture high-fidelity data streams, enabling advanced analytics and visualization.
• Collaborate closely with process and automation engineers to identify critical data points, sensor needs, and integration requirements.
• Prototype and deploy custom sensor integrations or IoT solutions as needed to enhance data richness and accuracy.
• Create and maintain a data playground platform, allowing key engineers and stakeholders to easily access, analyze, and visualize process data.
• Facilitate a culture of data-driven experimentation, proactively identifying opportunities for process improvement and innovation.
  
  

Requirements:

• 3 years of experience developing data collection systems, sensor integrations, or experimental tooling in an industrial or manufacturing environment.
• Strong proficiency in developing integrations with SCADA/MES systems; experience with industrial communications protocols preferred
• Solid programming skills in Go or equivalent language
• Proven ability to rapidly prototype data collection hardware/software and integrate diverse sensors.
• Expertise with modern data analytics, visualization tools, and platforms (e.g., Python, Jupyter, Grafana, InfluxDB, TimescaleDB, or similar).
• Exceptional communication skills, able to clearly articulate experimental outcomes, technical requirements, and recommendations to cross-functional teams.
  
  

Bonus Qualifications:

• Familiarity with advanced statistical methods or machine learning techniques applied to manufacturing processes.
• Experience in metallurgy, forging, heat treatment, or related processes.
  
  

Join us in transforming the future of energetics.