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Data Visualization Engineer - Advanced Engineering
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Kaiser Aluminum
Heath, OH (In Person)
Full-Time
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Job Description
Kaiser Aluminum is known around the world for its superior quality. Our secret is what we put into it—innovative thinking, industry-leading reliability, and a world-class commitment to customer service. In short, the same qualities we look for in our people.
We are looking for aManufacturing Data Visualization Engineer to join our Advanced Engineering team inNewark Ohio or Kalamazoo Michigan!"Engineers and scientists who develop software to solve real world manufacturing problems."Kaiser Aluminum is seeking a Manufacturing Data Visualization Engineer to improve operational performance by turning manufacturing and production data into clear, practical visualizations for operators, supervisors, and engineers. As a member of the Intelligent Factory Team, this role develops and maintains near real-time dashboards, performance boards, and decision-support tools that support safe, consistent, and data-driven execution across the value stream.
The successful candidate will combine strong software and visualization skills with a practical understanding of industrial operations to deliver user-centered tools that improve situational awareness, adherence to standard work, escalation response, and continuous improvement outcomes.
Visualizations are built reusing Kaiser's Intelligent Factory Solution (IFS) architecture. The software stack includes Microsoft SQL, MongoDB and Inductive Logic Historian for data storage; deviceWISE as the configurable middleware transport layer, Inductive Automation Ignition (Python and Java) as UI along with programmable logic controllers. Candidates will understand and support the architecture, software, and continued product evolution at Kaiser Aluminum's North American facilities.
What you will work on:
Design, develop, and maintain standard dashboards that clearly communicate equipment status, process conditions, production progress, quality indicators, and constraints in a near real-time formatTranslate plant operating needs into intuitive visual elements (e.g., status states, trends, thresholds, alerts, control limits, and "at-a-glance" health indicators)Partners with operations leaders and subject matter experts to define standard visualization patterns (e.g., common layouts, naming, color conventions, alarm prioritization, and KPI definitions) to drive consistent interpretation across manufacturing lines and shiftsImplement visual management tools for daily management routines (shift handoff, tier meetings, performance boards, escalation cues, action tracking)Build and support standardized reporting and visualization for KPIs such as OEE components, throughput, downtime categorization, yield/scrap, rework, cycle time, schedule attainment, and other plant-defined metricsOperators (simple, actionable, immediate)Supervisors/engineers (trends, comparisons, Pareto views, drill-down)Collaborate on visualization design such that existing best practices are reusedDevelop reusable visualization components and templates so new areas/lines can be enabled quickly with minimal custom developmentDevelop and maintain data access utilities and curated interfaces (e.g., standardized queries, semantic layers, pre-defined extracts, governed KPI definitions) that allow users to retrieve the right information without needing deep technical skillsCollaborate with data engineering / OT / IT resources to ensure visualization tools are built on trusted, governed data sources while minimizing duplication or manual workaroundsProvide documentation, training, and user guidance to support adoption and sustained use of visualization toolsEnsure dashboards and visualization tools are reliable, performant, and maintainable (version control, change management, release notes)Maintain alignment with cybersecurity, access control, and data governance requirementsStrong working knowledge of data structures and querying (e.g., SQL, time-series concepts), with the ability to work effectively with historians and operational datasetsAbility to translate ambiguous user needs into clear visualization requirements, then deliver usable tools in iterative releasesWhat you will bring to the position:
Bachelor's degree in Software Engineering, Computer Science, Industrial Engineering, or related discipline; or equivalent experienceFive years' visualization development experience, preferably in manufacturing or industrial settingsMinimum three to five (3-5) years of experience working with process engineers/business analysts to translate functional requirements into technical requirements and making architectural decisionsCompetent with T-SQL and database theory and structuresBasic knowledge in networking and client-server transactionsBroad contemporary understanding of information technologies and trendsDemonstrated experience with MBSE and documentation, sysML or likeStrong communications skills with ability to clearly articulate, collaborate and substantiate recommendations with team and illustrate and propose design concepts prior to software constructionAbility to produce high quality, well documented, thoroughly tested, and efficient applications and reportsAbility to work incrementally and comfortable with collaboration and peer reviewUse Software Development Lifecycle (SDLC) to incrementally evolve a system in phasesProven ability to manage concurrent development tasksExcellent problem solving, investigative, experimental, and statistical analysis skillsManufacturing experience is a plus. Exposure to Digital Twins a plusWork environment in the plant:
Approximately 90% of the job function is performed in an office setting requiring normal safety precautions, while 10% of the job function is in the plant, however this may vary by project. There is exposure to operating machinery and a manufacturing environmentTravel may be required, on average not exceeding 15% of the time and is project drivenNo third-party candidate submissions are being accepted at this time for this opening.
We are an equal opportunity employer. All applicants will be considered based on job-related qualifications and abilities. There shall be no discrimination on the basis of age, race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, veteran, or disability status.
We are looking for aManufacturing Data Visualization Engineer to join our Advanced Engineering team inNewark Ohio or Kalamazoo Michigan!"Engineers and scientists who develop software to solve real world manufacturing problems."Kaiser Aluminum is seeking a Manufacturing Data Visualization Engineer to improve operational performance by turning manufacturing and production data into clear, practical visualizations for operators, supervisors, and engineers. As a member of the Intelligent Factory Team, this role develops and maintains near real-time dashboards, performance boards, and decision-support tools that support safe, consistent, and data-driven execution across the value stream.
The successful candidate will combine strong software and visualization skills with a practical understanding of industrial operations to deliver user-centered tools that improve situational awareness, adherence to standard work, escalation response, and continuous improvement outcomes.
Visualizations are built reusing Kaiser's Intelligent Factory Solution (IFS) architecture. The software stack includes Microsoft SQL, MongoDB and Inductive Logic Historian for data storage; deviceWISE as the configurable middleware transport layer, Inductive Automation Ignition (Python and Java) as UI along with programmable logic controllers. Candidates will understand and support the architecture, software, and continued product evolution at Kaiser Aluminum's North American facilities.
What you will work on:
Design, develop, and maintain standard dashboards that clearly communicate equipment status, process conditions, production progress, quality indicators, and constraints in a near real-time formatTranslate plant operating needs into intuitive visual elements (e.g., status states, trends, thresholds, alerts, control limits, and "at-a-glance" health indicators)Partners with operations leaders and subject matter experts to define standard visualization patterns (e.g., common layouts, naming, color conventions, alarm prioritization, and KPI definitions) to drive consistent interpretation across manufacturing lines and shiftsImplement visual management tools for daily management routines (shift handoff, tier meetings, performance boards, escalation cues, action tracking)Build and support standardized reporting and visualization for KPIs such as OEE components, throughput, downtime categorization, yield/scrap, rework, cycle time, schedule attainment, and other plant-defined metricsOperators (simple, actionable, immediate)Supervisors/engineers (trends, comparisons, Pareto views, drill-down)Collaborate on visualization design such that existing best practices are reusedDevelop reusable visualization components and templates so new areas/lines can be enabled quickly with minimal custom developmentDevelop and maintain data access utilities and curated interfaces (e.g., standardized queries, semantic layers, pre-defined extracts, governed KPI definitions) that allow users to retrieve the right information without needing deep technical skillsCollaborate with data engineering / OT / IT resources to ensure visualization tools are built on trusted, governed data sources while minimizing duplication or manual workaroundsProvide documentation, training, and user guidance to support adoption and sustained use of visualization toolsEnsure dashboards and visualization tools are reliable, performant, and maintainable (version control, change management, release notes)Maintain alignment with cybersecurity, access control, and data governance requirementsStrong working knowledge of data structures and querying (e.g., SQL, time-series concepts), with the ability to work effectively with historians and operational datasetsAbility to translate ambiguous user needs into clear visualization requirements, then deliver usable tools in iterative releasesWhat you will bring to the position:
Bachelor's degree in Software Engineering, Computer Science, Industrial Engineering, or related discipline; or equivalent experienceFive years' visualization development experience, preferably in manufacturing or industrial settingsMinimum three to five (3-5) years of experience working with process engineers/business analysts to translate functional requirements into technical requirements and making architectural decisionsCompetent with T-SQL and database theory and structuresBasic knowledge in networking and client-server transactionsBroad contemporary understanding of information technologies and trendsDemonstrated experience with MBSE and documentation, sysML or likeStrong communications skills with ability to clearly articulate, collaborate and substantiate recommendations with team and illustrate and propose design concepts prior to software constructionAbility to produce high quality, well documented, thoroughly tested, and efficient applications and reportsAbility to work incrementally and comfortable with collaboration and peer reviewUse Software Development Lifecycle (SDLC) to incrementally evolve a system in phasesProven ability to manage concurrent development tasksExcellent problem solving, investigative, experimental, and statistical analysis skillsManufacturing experience is a plus. Exposure to Digital Twins a plusWork environment in the plant:
Approximately 90% of the job function is performed in an office setting requiring normal safety precautions, while 10% of the job function is in the plant, however this may vary by project. There is exposure to operating machinery and a manufacturing environmentTravel may be required, on average not exceeding 15% of the time and is project drivenNo third-party candidate submissions are being accepted at this time for this opening.
We are an equal opportunity employer. All applicants will be considered based on job-related qualifications and abilities. There shall be no discrimination on the basis of age, race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, veteran, or disability status.