Principal Digital Factory Engineer IV

At Raytheon, we build secure, connected, and data‑driven manufacturing technologies that strengthen mission readiness and global competitiveness. The Connected Factory Intelligence (CFI) organization delivers enterprise digital factory capabilities through modern IIoT infrastructure, unified data architectures, and operator‑centric applications that improve productivity, quality, and factory performance.

We are seeking a Principal Digital Factory Engineer to design, develop, integrate, and support advanced digital factory solutions deployed across multiple Raytheon manufacturing sites. This senior engineering role contributes to scalable software development, reliable IIoT connectivity, and integrated data systems that enable real‑time factory insights and continuous operational improvement.

• Manufacturing Process Monitoring & Equipment Maintenance
• Shop Floor Management & Optimization
• Digital Operator Interface & Smart Tools
• Manufacturing Product Digital Thread & Factory Digital Twin
• Factory OT Analytics, Metrics & Common API / Data Transfer

This role performs full‑cycle software development while partnering closely with cross‑functional engineering, operations, OT, IT, and data teams. The engineer ensures reliable data flows, scalable application design, and high‑quality software that supports factory operations across multiple locations. Preferred candidates also bring higher‑level capabilities in architectural thinking and cross‑team technical leadership.

• Design, develop, and maintain digital factory applications using Ignition, Python, SQL, and related technologies.
• Build operator interfaces, dashboards, backend workflows, data queries, and automated logic supporting factory operations.
• Integrate applications with databases, historians, IIoT devices, and central data services using modern communication protocols. Implement code aligned with team standards, ensuring maintainability, performance, and usability.
• Document features, technical decisions, and system configurations for clarity and long‑term sustainment.

• Connect factory equipment, sensors, PLCs, and gateways using protocols such as Modbus/TCP, OPC‑UA, EIP, and MQTT.
• Configure data ingestion pipelines to support real‑time monitoring, analytics, and operator‑facing tools.
• Ensure reliable connectivity between OT systems, digital factory applications, and enterprise platforms.
• Troubleshoot communication issues, data flow interruptions, or equipment interface problems.

• Build and optimize historian tags, data models, and analytics feeds used for factory metrics and reporting.
• Support digital thread and digital twin initiatives by enabling consistent and accurate data movement across systems.
• Partner with data architects and analytics teams to ensure appropriate data access, quality, and structure.

• Azure Dev Ops or similar tools to manage source control, pipelines, builds, and release processes.
• Validate deployments, troubleshoot build issues, and support continuous integration and delivery best practices.
• Help maintain reliable multi‑site deployment patterns that support enterprise scaling.

• Work closely with manufacturing engineers, product owners, OT specialists, test engineers, and IT teams to align solutions with factory needs.
• Participate in design reviews, requirements discussions, technical investigations, and roadmap planning sessions.
• Support multi‑team integrations, ensuring applications function correctly within broader digital factory workflows.

• Lead technical investigations into application defects,…