Digital Manufacturing Engineer

FUCHS

$120K — $130K *
Manufacturing & Automotive
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Engineering, Computer Science, Data Science, Manufacturing Technology, or related field.
  • 3+ years of experience in manufacturing, process engineering, automation, or digital manufacturing.
  • Manufacturing experience in chemical or related industrial environments preferred.
  • Proficiency in PLC systems, SCADA, IoT/sensor platforms, and data integration.
  • Strong technical skills in Python, SQL, and enterprise systems like SAP or ERP/MES.
  • Familiarity with data analytics tools such as Power BI or Tableau.
  • Experience with IoT and time-series data integration, including OPC-UA.

Responsibilities

  • Design and support data pipelines and system integrations for manufacturing processes.
  • Collaborate with cross-functional teams to enhance digital manufacturing initiatives.
  • Develop data solutions, dashboards, and tools for better decision-making.
  • Ensure plant-floor connectivity and integration of manufacturing systems.
  • Explore Industry 4.0 technologies to drive digital transformation.
  • Lead proof-of-concept pilots for new technologies and present findings.
  • Apply data-driven methodologies for continuous improvement in manufacturing.

Benefits

  • Challenging and rewarding working environment fostering professional development.
  • Opportunities to work on impactful projects in the global market.
  • Comprehensive suite of benefits including health and wellness options.
Full Job Description
Salary:

FUCHS offers a competitive salary commensurate with experience in a similar position. The salary range for this position is $120,000 - $130,000 per year, but actual salary will vary depending upon a new hire's experience and qualifications as well as internal equity.

Your Responsibilities:

This role bridges manufacturing operations, automation, and enterprise data systems to help drive digital transformation across our manufacturing environment. You will work with plant-floor systems, PLCs, IoT/sensor data, ERP platforms, and analytics tools to improve operational visibility, efficiency, and decision-making within a chemical and batch manufacturing environment.
  • Design and support manufacturing data pipelines and system integrations connecting PLCs, IoT/sensor data, ERP/MES platforms, and enterprise analytics tools.
  • Partner cross-functionally with Operations, Manufacturing, IT, Engineering, and R&D teams to drive digital manufacturing and operational efficiency initiatives.
  • Develop and maintain data solutions, automation workflows, dashboards, and analytics tools to improve operational visibility and decision-making.
  • Support plant-floor connectivity and manufacturing systems integration, including PLC, historian, SCADA, and time-series data environments.
  • Identify, evaluate, and implement Industry 4.0 technologies and digital transformation opportunities within chemical and batch manufacturing operations.
  • Develop structured evaluation frameworks for new technologies; lead proof-of-concept pilots and translate results into actionable go/no-go recommendations for leadership.
  • Apply continuous improvement and data-driven problem-solving methodologies to improve productivity, reduce waste, and optimize manufacturing performance.
  • Implement IoT/sensor data integration and time-series data solutions (OPC-UA, historian systems) to enable real-time operational visibility.


Qualifications we are looking for:
  • Bachelor's degree in Engineering, Computer Science, Data Science, Manufacturing Technology, or a related technical discipline required.
  • 3+ years of experience in a manufacturing, process engineering, automation, or digital manufacturing environment required.
  • Manufacturing experience within chemical, batch, specialty chemical, lubricants, coatings, or related industrial environments strongly preferred.
  • Experience working with manufacturing systems and controls environments, including PLCs (Allen-Bradley, Siemens, etc.), SCADA, historians, or IoT/sensor platforms.
  • Strong technical skills in Python, SQL, data integration, and enterprise systems such as SAP, ERP/MES, or comparable platforms.
  • Experience with Microsoft Fabric, Azure Data Factory, Power BI, Tableau, or similar data and analytics platforms preferred.
  • Familiarity with APIs, cloud-based data platforms, automation tools, and operational data integration concepts.
  • IoT and time-series data integration experience: sensor data, OPC-UA, historian systems, or equivalent.
  • Lean Six Sigma, continuous improvement, or operational excellence experience preferred.
  • Strong analytical, communication, and cross-functional collaboration skills required.

Preferred:
  • Familiarity with operational excellence frameworks (e.g., TPM, OEE-driven improvement, reliability engineering).
  • Familiarity with condition monitoring, predictive maintenance, or asset reliability programs.
  • Digital twin platform experience (e.g., Azure Digital Twins, ANSYS Twin Builder, Siemens MindSphere, or equivalent).
  • Simulation experience: discrete event simulation, process simulation (Aspen, DynoChem, SimPy), or related tools.


These are your benefits:

FUCHS offers a challenging and rewarding working environment where employees are encouraged to develop and grow as professionals. In this role, you will have the opportunity to work on projects that will expand your experience and challenge your abilities in the global marketplace. The position also offers an excellent compensation package and a comprehensive suite of benefits. Detailed benefit information can be found at this link: https://fuchs.com/us/en/benefits

Do you have any questions? Jordan Hallow ([email protected]) will be more than happy to answer them!

Come be seen at FUCHS - join our team and move the world with us!
jobs.fuchs.com

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