Industrial Data Infrastructure Engineer II

Denso; Maryville (TN); On-site; USD 73,000 - 100,000; Full time

Benefits offered by this job

Medical, Dental, Vision

401K with Company Match

Vacation/PTO and 13 Paid Holidays

Tuition Reimbursement

Career Development and OngoingTraining

Employee Assistance Program

Job summary

DENSO is seeking an Industrial Data Infrastructure Engineer to support data management, system maintenance, troubleshooting, and documentation. You will help ensure data integrity and uptime across enterprise network systems.

You will create data visualizations per customer requirements, launch new clustered server types for line launches, and assist with Hibernate and lab testing to improve efficiency. Strong Linux/Kubernetes skills and problem-solving ability are essential.

Qualifications

• 4 year degree related to field (networking, engineering, electrical) or equivalent work experience.
• Experience with Linux-based systems and Kubernetes.
• Strong problem solving and verbal/written communication skills.

Responsibilities

• Ensure data integrity, availability, and uptime for enterprise network systems.
• Create data visualizations to meet customer requirements and improve efficiency.
• Lead technical projects, modifications, and kaizen activities.
• Develop and maintain documentation for processes including network maps and FTA.
• Support maintenance by monitoring health of clustered systems or NAS.

Skills

Linux

Kubernetes

Data visualization

Data integrity

Troubleshooting

Documentation

MS Office

Education

Bachelor's degree in networking/engineering/electrical

2 year technical degree in electrical/mechanical/industrial

Tools

Ceph

Certificate management

Secure service communication

Job description

DENSO is seeking an Industrial Data Infrastructure Engineer to support data management, system maintenance, troubleshooting, and documentation. You will help ensure data integrity and uptime across enterprise network systems.

You will create data visualizations per customer requirements, launch new clustered server types for line launches, and assist with Hibernate and lab testing to improve efficiency. Strong Linux/Kubernetes skills and problem-solving ability are essential.