BorgWarner is seeking to support manufacturing operations through advanced data integration, controls systems, and analytics to enable smarter, more efficient production processes.
Requirements
- 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.
- 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.
Other
- Bachelor’s degree in Computer Science, Electrical Engineering, Controls Engineering, or related field.
- 5+ years of experience in manufacturing or industrial data engineering.
- Strong problem-solving and collaboration skills.
- Must adhere to the BorgWarner Environmental Health and Safety Program.
- Ability to work in a way that stresses the importance of preventing injury, accidents, or illnesses to themselves or co-workers.
