OT Sr Digital Factory Engineer III

RTX•Forest, MS

22h•Onsite

About The Position

At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world. Raytheon Industry 4.0 - Smart Digital Factory and Automation (SDF&A) has an immediate career-growth opportunity for an enthusiastic, highly motivated, and innovative Software Systems Engineer team member to join our Team. As a Digital Factory developer, you will be a key contributor to design, development, integration, testing and deployment of advanced IIoT / Industry 4.0 technologies based in Ignition. Additionally, this role will perform root cause corrective action (RCCA) for any hardware and software issues identified in the SDF&A products in the manufacturing factory while supporting data analytics and data visualization efforts. The role will be in close collaboration with digital factory engineering, chief engineers / architects, front end of the business, and SDF&A / factory leadership and will include all aspects of the product development lifecycle - planning, requirements, design, development, test, deployment, and sustainment. Our Connected Factory Intelligence & Automation (CFI&A) organization delivers advanced IIoT / Industry 4.0 technologies based in Ignition and plays a key role across manufacturing environments. Raytheon Innovators – Advanced Manufacturing

Requirements

Typically requires a degree in Science,Technology, Engineering or Mathematics (STEM) and a minimum of 5 years of prior relevant experience unless prohibited by local laws/regulations.
5+ years related experience, to include Ignition SCADA development using combination of tools such as: SQL, Python, C#/.NET, HTML5, JSON
Experience with Azure DevOps services framework or similar Agile Project Management tools
Experience with Industry 4.0 key concepts – connectivity, data collection, IIoT, systems integration, AI, machine learning, ISA-95, Pub/Sub.
Experience with data analytics with skills that demonstrate the ability to prepare, process, analyze, and visualize significant amounts of information from multiple data sources.
Strong communication, project management and collaboration skills; experience working across organization boundaries

Nice To Haves

Ignition gold certification or willingness to achieve within first year
Experience using industrial communication protocols such as Modbus/TCP, MQTT, EIP, SECS/GEM, etc.
Strong communication, project management and collaboration skills; experience working across organization boundaries
Extensive knowledge of scripting and dashboarding
Experience building APIs and creating web applications
Experience with Splunk!, PowerBI, GraphQL, Tableau, SQL Server, SAP, Eyelit, Windows Task Scheduler Automation, SQL Server job agent automation, SQL Server SSIS
Experience with big data and data mining
Experience in distributed controls, cyber security, IT infrastructure integration or other related fields
Experience working in a manufacturing environment and familiarity with MES (Manufacturing Execution Systems)
Understanding of automation systems (robots, vision systems, PLCs, etc.) deployment and integration

Responsibilities

Execute projects involving Ignition application development.
Contribute to IIoT continued growth and deployment by working with sensors, gateways, connectivity solutions, APIs, and data analytic platforms.
Provide recommendations and execution on methods to connect manufacturing equipment to IIoT/OT layer network
Set communication protocols and network configurations on network devices (EIP, Modbus/TCP, MQTT, etc).
Contribute to major team projects as well as work with minimal oversight to solve complex problems supporting SDF&A Engineering Systems.
Analyze and correlate large, complex data sets; support digital thread implementation; develop and execute analytics reports and visualization toolsets while ensuring data integrity.
Expected to Travel 10% of the time.