Real-Time Manufacturing Visualization Engineer

Kaiser Aluminum

Newark (OH)

On-site

USD 95,000 - 125,000

Full time

8 days ago

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Job summary

Kaiser Aluminum in Newark, Ohio, is seeking a Manufacturing Data Visualization Engineer to turn manufacturing data into clear dashboards for operators, supervisors and engineers. You will develop near real-time dashboards and decision-support tools using the IFS architecture, with SQL, MongoDB, Ignition, and deviceWISE.

The ideal candidate has a BS in software/engineering, 5 years of visualization experience in manufacturing, strong communication, and the ability to translate plant needs into

Qualifications

  • Bachelor’s degree in a related field or equivalent experience.
  • 5 years of visualization development experience in manufacturing.
  • Proficient with T-SQL and database concepts.
  • Experience with Python; Java is a plus.
  • Strong communication and collaboration with cross-functional teams.

Responsibilities

  • Design, develop, and maintain standard dashboards showing equipment status and KPIs in near real-time.
  • Translate plant needs into intuitive visual elements and health indicators.
  • Collaborate with operations leaders to define visualization patterns and KPI definitions.
  • Develop reusable components for rapid area/line enablement.
  • Ensure visualization tools are reliable, secure, and well-documented.

Skills

Visualization development
Communications
Problem solving
Team collaboration
SDLC
Data visualization design
SQL querying

Education

Bachelor’s degree in Software Engineering, Computer Science, Industrial Engineering, or related discipline

Tools

Python
SQL
Java
MBSE
Ignition

Job description

Kaiser Aluminum in Newark, Ohio, is seeking a Manufacturing Data Visualization Engineer to turn manufacturing data into clear dashboards for operators, supervisors and engineers. You will develop near real-time dashboards and decision-support tools using the IFS architecture, with SQL, MongoDB, Ignition, and deviceWISE.

The ideal candidate has a BS in software/engineering, 5 years of visualization experience in manufacturing, strong communication, and the ability to translate plant needs into

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