Manufacturing Data Engineer - Kentucky

Contemporary Amperex Technology Kentucky LLC; Kentucky; On-site; USD 80,000 - 110,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) retirement plan with company 1:

Paid time off and holidays

Professional development opportunities

Job summary

Contemporary Amperex Technology Kentucky (CATK) seeks a Plant Data & Digital Insights Analyst to enhance manufacturing performance by managing plant databases, building dashboards, and enabling data-driven decisions. You will bridge data engineering, plant operations and leadership with tools that support FPS pillars.

The role focuses on SQL, ETL, Power BI dashboards, and collaboration across departments to drive improvements in safety, quality, delivery, cost, maintenance, environment, and

Qualifications

• 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; Python preferred.

Responsibilities

• Manage and maintain production-related databases (SQL, Oracle, Hadoop).
• Design and develop descriptive and predictive dashboards using Power BI and other tools.
• Provide data solutions across departments, aligning with FPS performance pillars.
• Lead or support local/national applications for data sharing and collaboration.
• Automate processes via SharePoint 365 and Power Automate and ensure data governance.

Skills

SQL

Power BI

SharePoint 365

Power Automate

Python

Education

Bachelor's or Master's in Data Science, Computer/Industrial Engineering, Automation

Tools

Tableau

Power BI

Job description

Contemporary Amperex Technology Kentucky (CATK) is the U.S. battery manufacturing subsidiary of Contemporary Amperex Technology Co., Limited (CATL). CATL is a global leader in the research, development, and manufacturing of advanced battery energy storage systems for electric vehicles, grid-scale, and maritime applications. We are committed to delivering innovative solutions that support the global transition to clean energy.

Our Vision

To become a globally leading innovative technology corporation, contribute meaningfully to sustainable energy solutions, and provide a platform that supports both the professional and personal growth of our employees.

Job Overview

The Plant Data & Digital Insights Analyst plays a key role in enhancing manufacturing performance by managing plant-level databases, developing advanced dashboards, and facilitating innovative data solutions. This role bridges the gap between data engineering, plant operations, and leadership by creating tools and visualizations that support actionable decisions. The analyst supports cross-functional improvement by enabling reliable, structured, and transparent data aligned with FPS performance pillars (Safety, Quality, Delivery, Cost, Maintenance, Environmental, People).

Key Responsibilities

Database Management & Data Integrity

Manage and maintain production-related databases (SQL, Oracle, Hadoop, etc.).

Create and maintain data dictionaries and workflow structures to ensure clarity and standardization.

Conduct regular audits of databases, SharePoint environments, administrator accounts, and security groups.

Ensure alignment of database records with actual production data and system operations.

Support secure and efficient data collection across departments at the plant level.

Dashboard Development & Visualization

Design and develop descriptive and predictive dashboards using Power BI and other tools.

Create dynamic connections between local and enterprise databases to enable real-time visualization.

Support all levels of the organization with insights tailored to different tiers of operations (Zone, Department, Plant, and Business).

Propose and deploy innovative visual management tools aligned with SQDCMEP performance targets.

Digital Innovation & Data Strategy

Provide support to all departments by improving current dashboard processes and enabling automation.

Work collaboratively with internal stakeholders to explore new data sources and translate them into business value.

Develop strategies to shift data collection and application workflows from PC-based to factory-integrated solutions.

Lead or support the development of local/national applications that facilitate data sharing and collaboration.

Administer and automate processes via SharePoint 365 and Power Automate.

Engage cross-functionally to gather business requirements and rapidly prototype effective data solutions using agile methods.

Communicate and promote innovative data-driven processes that improve manufacturing efficiency, quality, and cost.

Actively participate in initiatives to align plant operations with digital transformation objectives.

FPS Implementation supporting

Ensure all developed 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 with standardized performance metrics and visual management

FPS other activities supporting (KPI, Visualization & others)

Minimum Qualifications

• 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, SQL and at least one programming language (Python preferred, with libraries like Pandas, Scikit-learn, PySpark).
• Data visualization tools (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 (e.g., Oracle, 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 (AWS IoT, Azure IoT Suite, GCP) for industrial data solutions.
• Familiarity with big data frameworks (Apache Spark, Kafka) and data orchestration tools (Airflow).
• Proven track record in deploying predictive maintenance or process optimization models in production.
• Knowledge of ISA-95 architecture and industrial data standards.

Work Environment & Physical Requirements

• Regular, predictable on-site attendance is an essential function of this role.
• 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 weighing up to 25–50 pounds, with occasional heavier lifting as required.
• Ability to work in varied environments, including offices, industrial, and construction settings.
• Willingness to travel to other job sites as business needs require.
• Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the position, in accordance with applicable law.
• Competitive salary commensurate with experience and qualifications.
• 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.

CATK is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, protected veteran status, or any other legally protected characteristic.

Employment Disclaimer

This job description is not intended to be an exhaustive list of duties, responsibilities, or qualifications. CATK reserves the right to modify, revise, or add job responsibilities as business needs evolve. Employment with CATK is at-will, meaning either the employee or the Company may terminate the employment relationship at any time, with or without cause or notice, in accordance with applicable law.

Export Control & Data Security Compliance

This position 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.