Data Engineer- Controls & Manufacturing Systems (Industrial Solutions)
About The Position
The BorgWarner Arden campus offers two world class technical centers and a cutting-edge manufacturing facility that designs and produces turbos, fan, and fan drive components for the automotive industry. The Arden campus offers a multitude of career opportunities and is in the beautiful mountains of Western North Carolina. This position will be based at the BorgWarner Arden facility in Western North Carolina and will transition to a new facility in Hendersonville, NC. Position Overview We are seeking a technically driven and proactive Data Engineer to support manufacturing operations through advanced data integration, controls systems, and analytics. This role bridges the gap between automation, controls engineering, and data infrastructure, enabling smarter, more efficient production processes. The ideal candidate will have experience working with industrial control systems, manufacturing data pipelines, and real-time analytics.
Requirements
- Bachelor’s degree in Computer Science, Electrical Engineering, Controls Engineering, or related field.
- 5+ years of experience in manufacturing or industrial data engineering.
- Proficiency in SQL, Python, and data visualization tools (e.g., Power BI, Tableau).
- Experience with PLCs, SCADA, OPC UA, and industrial communication protocols.
- Familiarity with MES systems and manufacturing process data.
- Strong problem-solving and collaboration skills.
Nice To Haves
- Experience with cloud platforms (Azure, AWS) and edge computing.
- Knowledge of Industry 4.0 technologies and IIoT frameworks.
- Understanding of control system architecture and automation standards.
- Experience with time-series databases and machine learning applications in manufacturing.
Responsibilities
- Design, develop, and maintain data pipelines from PLCs, SCADA, MES, and other control systems.
- Integrate manufacturing data into centralized platforms for analysis and reporting.
- Collaborate with controls engineers to optimize machine performance and data capture.
- Develop dashboards and tools to monitor production metrics, downtime, and process efficiency.
- Support predictive maintenance and process optimization initiatives using historical and real-time data.
- Ensure data integrity, security, and compliance with IT and operational standards.
- Work cross-functionally with engineering, IT, and operations teams to support digital transformation efforts.
Benefits
- Day 1 Medical Coverage with potential of no monthly premium
- Onsite Health Clinic for employees and dependents (age 14 and over) at no cost
- Dental, Vision, Life, AD&D, and Disability Coverage
- Tuition Reimbursement Program after 18 months
- Retirement Savings Plan (401k) with a matching program
- Company paid holidays and vacation starting Day 1
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
