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# Manufacturing Data Engineer - Kentucky in Kentucky

- **Company:** Energy Jobline
- **Location:** Ashland, KY, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Airflow, Microsoft Azure, Big Data, Computer Programming, Computer Engineering, Data Governance, Data Integration, Data Systems, Data Visualization, Apache Hadoop, Supervisory Control and Data Acquisition (SCADA), Python (Programming Language), Message Queuing Telemetry Transport (MQTT), Oracle (Applications), Power BI, Standard Sql, OPC Unified Architecture, Microsoft SharePoint, SQL Databases, Systems Integration, Tableau (Software), Technical Data Management Systems, Microsoft Power Automate, Apache Spark, Pandas, Pyspark, Scikit Learn, Apache Kafka, Aws Iot, Data Pipelines
- **Published:** September 11, 2026
- **Apply:** https://www.energyjobline.com/job/manufacturing-data-engineer-kentucky-kentucky-31611252

## About the Role

1. Bachelor's or Master's degree in Data Science, Computer Engineering, Industrial Engineering, Automation, or a related quantitative field.
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 2. Strong knowledge of SQL, Power BI, SharePoint 365, and Power Automate, SQL and at least one programming (Python , with libraries like Pandas, Scikit-learn, PySpark).
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 3. Data visualization tools (Tableau, Power BI, or equivalent).
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 4. Understanding of OT/IT integration, industrial protocols (OPC UA, MQTT), and plant systems (MES, SCADA, Historians)
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 5. Familiarity with data integration tools and platforms (e.g., Oracle, Hadoop).
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 6. Understanding of data governance, security protocols, and audit procedures.
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 7. 2-5 years of experience in manufacturing analytics, database management, or digital operations support
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 8. Experience with cloud platforms (AWS IoT, Azure IoT Suite, GCP) for industrial data solutions.
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 9. Familiarity with big data frameworks (Apache Spark, Kafka) and data orchestration tools (Airflow).
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 10. Proven track record in deploying predictive maintenance or process optimization models in production.
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 11. Knowledge of ISA-95 architecture and industrial data standards.
\n, 2. Ability to move throughout offices, manufacturing facilities, and construction areas, including walking, standing, bending, kneeling, and climbing stairs or ladders.
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 3. Ability to lift and carry materials weighing up to 25-50 pounds, with occasional heavier lifting as required.



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