LocationShaw Plant 1G, 5225 Hwy 411 SE, Cartersville, GA 30120 USA
Work modeon-site
Typefull-time
SeniorityMid
Experience2+ yrs
Company size10,000+ people
PostedOct 6, 2026 · 6d ago
Verified live14h ago
At a glanceSummarised by Seekless from the posting.
Must have8
Bachelor's degree in Electrical Engineering, Computer Engineering, Mechatronics Engineering, or a related Engineering field
2+ years of experience in industrial automation, controls engineering, or manufacturing systems
Experience programming and troubleshooting PLC-based control systems
Experience with Allen-Bradley Studio 5000 and/or Siemens TIA Portal
Experience with SCADA systems, industrial historians, and manufacturing data platforms
Working knowledge of SQL and manufacturing data analysis
Understanding of industrial networking and communication protocols
Strong analytical, troubleshooting, and problem-solving skills
Nice to have7
Experience with Ignition SCADA (Perspective, Vision, or related modules)
Experience integrating PLCs, SCADA systems, historians, databases, and enterprise applications
Familiarity with MQTT, OPC-UA, Ethernet/IP, Profinet, or Modbus TCP
Exposure to Operational Technology (OT) environments
Experience developing dashboards, reporting tools, or analytics applications
Exposure to machine learning, artificial intelligence, or predictive analytics in manufacturing environments
AutoCAD experience
Skills
PLC
HMI
VFD
SCADA
Allen-Bradley Studio 5000
Siemens TIA Portal
SQL
Ignition
MQTT
OPC-UA
Ethernet/IP
Profinet
Modbus TCP
AutoCAD
Job Title
About the role
Industrial Data & Controls Engineer
Position Overview
Join a Team Where Innovation Meets Real-World Impact
We’re looking for a Controls & Automation Engineer to join our Divisional Engineering team supporting manufacturing operations across multiple facilities.
In this role, you’ll help bridge traditional industrial automation with modern manufacturing technologies. You’ll support controls systems, SCADA platforms, industrial data systems, and process improvement initiatives while helping advance the division’s analytics and digital manufacturing capabilities.
Working closely with operations, maintenance, engineering, and technical teams, you’ll develop solutions that improve process visibility, operational performance, and data-driven decision making. This is an opportunity to make an immediate impact while growing into advanced analytics, machine learning, and AI-enabled manufacturing applications.
Position Responsibilities
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Troubleshoot, optimize, and support PLC, HMI, VFD, and industrial control systems.
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Support SCADA, historian, and industrial data systems used to monitor and improve manufacturing performance.
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Develop dashboards, reports, and visualization tools that improve process visibility and operational decision-making.
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Lead and support automation-related process improvement initiatives.
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Manage automation and controls aspects of capital projects from scope development through commissioning.
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Partner with operations, engineering, maintenance, and IT teams to improve connectivity and utilization of manufacturing data.
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Establish and maintain automation standards and best practices across manufacturing operations.
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Support 24/7 manufacturing operations, including occasional on-call, weekend, and holiday support.
Position Requirements
•
Bachelor’s degree in Electrical Engineering, Computer Engineering, Mechatronics Engineering, or a related Engineering field.
•
2+ years of experience in industrial automation, controls engineering, or manufacturing systems.
•
Experience programming and troubleshooting PLC-based control systems.
•
Experience with Allen-Bradley Studio 5000 and/or Siemens TIA Portal.
•
Experience with SCADA systems, industrial historians, and manufacturing data platforms.
•
Working knowledge of SQL and manufacturing data analysis.
•
Understanding of industrial networking and communication protocols.
•
Strong analytical, troubleshooting, and problem-solving skills.
Preferred Qualifications
•
Experience with Ignition SCADA (Perspective, Vision, or related modules).
•
Experience integrating PLCs, SCADA systems, historians, databases, and enterprise applications.
•
Familiarity with MQTT, OPC-UA, Ethernet/IP, Profinet, or Modbus TCP.
•
Exposure to Operational Technology (OT) environments.
•
Experience developing dashboards, reporting tools, or analytics applications.
•
Exposure to machine learning, artificial intelligence, or predictive analytics in manufacturing environments.
•
AutoCAD experience.
Key Competencies
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Influence Others
•
Innovate
•
Adapt And Change
•
Demonstrate Inclusive Leadership
•
Deliver Compelling Communication
What We’re Looking For
We’re seeking a controls-focused engineer who understands manufacturing automation and has experience working with SCADA systems, historians, SQL databases, and manufacturing data. While deep expertise in machine learning or AI is not required, we’re looking for someone with the aptitude and curiosity to build tools that improve analytics efficiency, process visibility, and problem-solving capabilities.
The ideal candidate has a strong controls foundation, experience leveraging manufacturing data to solve operational challenges, and an interest in helping expand the use of advanced analytics, machine learning, and AI across manufacturing operations. Experience with Ignition is highly preferred, but candidates with experience in other SCADA platforms and a demonstrated ability to learn new technologies are encouraged to apply.
About the company
Shaw Industries Group, Inc. is a wholly owned subsidiary of Berkshire Hathaway, and is a global leader in delivering carpet, hardwood, tile & stone, laminate, synthetic turf, and other specialty products to residential and commercial markets worldwide. We are committed to creating a better future for our customers, our people, our company, and our communities.
#ShawSAL
Work Shift
8 Hr non-rotating shift, Hrs fall to in punch day, Observed Calendar, shift starts AM
Legal
Shaw Industries is an equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities.