About The Position

We’re building a brand-new state-of-the-art facility dedicated to creating power generation systems for data centers and microgrid applications. This new hub will be at the heart of BorgWarner’s latest growth initiative, bringing together engineering, innovation, and technology in one dynamic space. Be part of a team that’s shaping the future of sustainable power and driving breakthrough solutions from day one. To learn more about BorgWarner's Industrial Solutions business, please visit : BorgWarner Industrial Solutions . We are seeking a technically driven and proactive 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, Allen-Bradley, 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.
  • Support, configure, and optimize MES systems from a key user standpoint to ensure smooth operations and quick issue resolution.
  • 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.
  • Provide actionable insights to operations and management teams.
  • 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) with potential of 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
  • Competitive annual incentive program tied to business results
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