Manufacturing Data Engineer

This role supports plant manufacturing performance by operating and advancing plant data platforms, analytics, and dashboards.

Responsibilities

• Manage and maintain production-related databases including SQL, Oracle, Hadoop, and similar platforms.
• Create and maintain data dictionaries and workflow structures to standardize definitions and improve clarity.
• Perform regular audits across databases, SharePoint environments, administrator accounts, and security groups.
• Validate that database records match real production data and the way systems operate on the plant floor.
• Enable secure, efficient data collection across plant-level departments.
• Build and maintain descriptive and predictive dashboards using Power BI and other tools.
• Create dynamic connections between local and enterprise databases to support real-time visualization.
• Deliver insights tailored to operational tiers: Zone, Department, Plant, and Business.
• Propose and deploy visual management tools aligned with SQDCMEP performance targets.
• Improve existing dashboard processes, support automation, and enable better access for teams across departments.
• Partner with internal stakeholders to evaluate new data sources and translate them into measurable business value.
• Develop strategies to shift data collection and application workflows from PC-based approaches to factory-integrated solutions.
• Lead or assist development of local and national applications that facilitate data sharing and collaboration.
• Administer and automate processes using SharePoint 365 and Power Automate.
• Use agile methods to gather business requirements and rapidly prototype data solutions.
• Communicate and promote data-driven practices that improve manufacturing efficiency, quality, and cost.
• Participate in initiatives that align plant operations with digital transformation objectives.
• Ensure dashboards and tools support FPS performance pillars: Safety, Quality, Delivery, Cost, Maintenance, Environmental, People.
• Collaborate with FPS Champions, Engineering, Operations, and IT to align solutions to standardized performance metrics and visual management.

Requirements

• Bachelor’s or Master’s degree in Data Science, Computer Engineering, Industrial Engineering, Automation, or a related quantitative field.
• Strong knowledge of SQL, Power BI, SharePoint 365, and Power Automate; experience with SQL and at least one programming language (Python preferred with Pandas, Scikit-learn, PySpark).
• Experience with data visualization tools such as Tableau, Power BI, or equivalent.
• Knowledge of OT/IT integration, industrial protocols (OPC UA, MQTT), and plant systems (MES, SCADA, Historians).
• Familiarity with data integration tools and platforms including Oracle and Hadoop.
• Understanding of data governance, security protocols, and audit procedures.
• 2–5 years of experience in manufacturing analytics, database management, or digital operations support.
• Experience with cloud platforms for industrial data solutions: AWS IoT, Azure IoT Suite, or GCP.
• Familiarity with big data and streaming/processing frameworks: Apache Spark, Kafka, plus orchestration tools such as Airflow.
• Proven track record deploying predictive maintenance or process optimization models in production.
• Knowledge of ISA-95 architecture and industrial data standards.

Technologies

• SQL, Oracle, Hadoop
• Power BI, SharePoint 365, Power Automate, Tableau
• Python, Pandas, Scikit-learn, PySpark
• OPC UA, MQTT
• MES, SCADA, Historians
• AWS IoT, Azure IoT Suite, GCP
• Apache Spark, Kafka, Airflow
• ISA-95

Benefits

• 401(k) retirement plan with company match
• Comprehensive benefits package including medical, dental, and vision coverage
• Paid time off and company holidays
• Professional development and growth opportunities
• Relocation assistance

Work Environment & Physical Requirements

• Regular, predictable on-site attendance is an essential function.
• Ability to move throughout offices, manufacturing facilities, and construction areas, including walking, standing, bending, kneeling, and climbing stairs or ladders.
• Ability to lift and carry materials up to 25–50 pounds, with occasional heavier lifting as required.
• Ability to work in varied environments including office, industrial, and construction settings.
• Willingness to travel to other job sites as business needs require.
• Reasonable accommodations may be made for individuals with disabilities to perform essential functions, in accordance with applicable law.

Compensation & Benefits

• Competitive salary commensurate with experience and qualifications
• Salary range: USD 80,000 - 130,000 per year
• Comprehensive benefits package including medical, dental, and vision coverage
• 401(k) retirement plan with company match
• Paid time off and company holidays
• Professional development and growth opportunities

Export Control & Data Security Compliance

• May involve access to sensitive systems or information subject to U.S. export control and data security regulations.
• Employment is contingent upon the employee’s ability to comply with applicable laws and company policies related to data protection and controlled information access.

Location

• Glendale, KY (on-site)

Experience

• Minimum experience: 2 years