Industrial Engineer

Kaiser Aluminum; Newark (OH); On-site; USD 90,000 - 140,000; Full time

Job summary

Kaiser Aluminum in Newark, OH / Kalamazoo, MI is seeking a Manufacturing Data Visualization Engineer to turn plant data into real-time dashboards for operators and engineers. You will join the Intelligent Factory Team to build visualizations using SQL, Python, and Ignition, delivering actionable insights that improve OEE, downtime reduction, and production quality.

This onsite role emphasizes collaboration with operations and IT.

Qualifications

• Bachelor’s degree in software/engineering or related field.
• Five years’ visualization development experience, preferably in manufacturing or industrial settings.
• Minimum three to five (3-5) years of experience working with process engineers/business analysts to translate functional requirements into technical requirements and making architectural decisions.
• Competent with T-SQL and database theory and structures.
• Demonstrated experience with Python; Java is a plus.
• Basic knowledge in networking and client-server transactions.
• Broad contemporary understanding of information technologies and trends.
• Demonstrated experience with MBSE and documentation, sysML or like.
• Strong communications skills with ability to clearly articulate, collaborate and substantiate recommendations with team and illustrate and propose design concepts prior to software construction.
• Ability to produce high quality, well documented, thoroughly tested, and efficient applications and reports.
• Ability to work incrementally and comfortable with collaboration and peer review.
• Use Software Development Lifecycle (SDLC) to incrementally evolve a system in phases.
• Proven ability to manage concurrent development tasks.
• Excellent problem solving, investigative, experimental, and statistical analysis skills.
• Manufacturing experience is a plus. Exposure to Digital Twins a plus.

Responsibilities

• Design, develop, and maintain standard dashboards that clearly communicate equipment status, process conditions, production progress, quality indicators, and constraints in a near real-time format.
• Translate 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 to drive consistent interpretation across manufacturing lines and shifts
• Implement 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 metrics
• Collaborate on visualization design to reuse existing best practices
• Develop reusable visualization components and templates for quick enablement of new areas/lines
• Develop and maintain data access utilities and curated interfaces for users to retrieve information without deep technical skills
• Collaborate with data engineering / OT / IT to ensure visualization tools use trusted data sources
• Provide documentation, training, and user guidance for adoption and sustained use
• Ensure dashboards are reliable, performant, and maintainable with version control
• Maintain alignment with cybersecurity, access control, and data governance requirements
• Strong knowledge of data structures and querying (SQL, time-series) with historians
• Ability to translate ambiguous user needs into clear visualization requirements

Skills

Visualization development

SQL / time-series data

Python

Dashboard design

SDLC experience

Communication skills

Manufacturing domain knowledge

Education

Bachelor’s degree in Software Engineering, CS, Industrial Engineering, or related

Tools

T-SQL

Python

Java

Inductive Automation Ignition

deviceWISE

MongoDB

MS SQL Server

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 a Manufacturing Data Visualization Engineer to join our Advanced Engineering team in Newark Ohio or Kalamazoo Michigan!

This is an onsite position. At this time, we are not able to offer visa sponsorship for this role, either now or in the future. Therefore, we cannot move forward with candidates who would require sponsorship and or are on (e.g., H-1B, F-1, STEM OPT, OPT) visas.

“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 format
• Translate 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 shifts
• Implement 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 metrics
• Operators (simple, actionable, immediate)
• Supervisors/engineers (trends, comparisons, Pareto views, drill-down)
• Collaborate on visualization design such that existing best practices are reused
• Develop reusable visualization components and templates so new areas/lines can be enabled quickly with minimal custom development
• Develop 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 skills
• Collaborate with data engineering / OT / IT resources to ensure visualization tools are built on trusted, governed data sources while minimizing duplication or manual workarounds
• Provide documentation, training, and user guidance to support adoption and sustained use of visualization tools
• Ensure dashboards and visualization tools are reliable, performant, and maintainable (version control, change management, release notes)
• Maintain alignment with cybersecurity, access control, and data governance requirements
• Strong working knowledge of data structures and querying (e.g., SQL, time-series concepts), with the ability to work effectively with historians and operational datasets
• Ability to translate ambiguous user needs into clear visualization requirements, then deliver usable tools in iterative releases

What you will bring to the position:

• Bachelor’s degree in Software Engineering, Computer Science, Industrial Engineering, or related discipline; or equivalent experience
• Five years’ visualization development experience, preferably in manufacturing or industrial settings
• Minimum three to five (3-5) years of experience working with process engineers/business analysts to translate functional requirements into technical requirements and making architectural decisions
• Competent with T-SQL and database theory and structures
• Demonstrated experience with Python; Java is a plus
• Basic knowledge in networking and client-server transactions
• Broad contemporary understanding of information technologies and trends
• Demonstrated experience with MBSE and documentation, sysML or like
• Strong communications skills with ability to clearly articulate, collaborate and substantiate recommendations with team and illustrate and propose design concepts prior to software construction
• Ability to produce high quality, well documented, thoroughly tested, and efficient applications and reports
• Ability to work incrementally and comfortable with collaboration and peer review
• Use Software Development Lifecycle (SDLC) to incrementally evolve a system in phases
• Proven ability to manage concurrent development tasks
• Excellent problem solving, investigative, experimental, and statistical analysis skills
• Manufacturing experience is a plus. Exposure to Digital Twins a plus

Work 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 environment
• Travel may be required, on average not exceeding 15% of the time and is project driven

No 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.

About Kaiser Aluminum: Talented people join our team because we are a company passionate about environmental sustainability, employee growth, contributing back to our communities and championing an inclusive culture.