Manufacturing Data Engineer

In this onsite role at Contemporary Amperex Technology Kentucky LLC
, you will help strengthen manufacturing performance through plant-level data management, analytics, and digital insights. You will connect data engineering work with plant operations and leadership so that dashboards and data solutions support decision-making tied to FPS performance pillars.

Working from Glendale, KY (onsite), you will manage production data systems, build descriptive and predictive reporting, and support secure, efficient data collection across departments.

• Enhance manufacturing performance by managing plant-level databases and creating dashboards and data solutions.
• Bridge data engineering with plant operations and leadership to support actionable outcomes aligned to FPS performance pillars.
• Provide insights tailored to different tiers of operations including Zone, Department, Plant, and Business
  .

• Manage and maintain production-related databases, including SQL, Oracle, and Hadoop
  .
• Create and maintain data dictionaries and workflow structures for clarity and standardization.
• Perform regular audits of databases, SharePoint environments, administrator accounts, and security groups
  .
• Ensure database records match actual production data and system operations.
• Support secure, efficient data collection across plant departments.
• Design and develop descriptive and predictive dashboards using Power BI and other tools.
• Build dynamic connections between local and enterprise databases to enable real-time visualization.
• Propose and deploy visual management tools aligned with SQDCMEP performance targets
  .
• Improve existing dashboard processes, enable automation, and support departments end to end.
• Partner with internal stakeholders to identify new data sources and translate them into business value.
• Develop strategies to move data collection and workflows from PC-based approaches to factory-integrated solutions.
• Lead or support development of local or national applications for 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 processes that improve manufacturing efficiency, quality, and cost.
• Participate in initiatives that align plant operations with digital transformation objectives.
• Ensure tools and dashboards 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.

• Bachelor’s or Master’s degree in Data Science, Computer Engineering, Industrial Engineering, Automation, or a related quantitative field.
• Strong knowledge of SQL and Power BI
  , as well as SharePoint 365 and Power Automate
  .
• SQL and at least one programming language, with Python preferred (including Pandas
  , Scikit-learn
  , Py Spark ).
• Experience with data visualization tools such as Tableau, Power BI, or equivalent
  .
• Understanding of OT/IT integration
  , industrial protocols (
  OPC UA, MQTT
  ), and plant systems (
  MES, SCADA, Historians
  ).
• Familiarity with data integration tools and platforms such as 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, GCP
  ).
• Familiarity with big data and orchestration technologies (
  Apache Spark, Kafka
  , and Airflow
  ).
• Proven track record in deploying predictive maintenance or process optimization models in production.
• Knowledge of ISA-95 architecture and industrial data standards.

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

• Salary: USD 80, per year (commensurate with experience and qualifications)
• 401(k) retirement plan with company match
• Comprehensiv…