Data Visualization Engineer - Advanced Engineering

Kaiser Aluminum Corporation; Heath (OH); On-site; USD 90,000 - 130,000; Full time

Job summary

Kaiser Aluminum is seeking a Manufacturing Data Visualization Engineer to join our Advanced Engineering team in Newark, Ohio, with optional collaboration across North American facilities. You will develop near real-time dashboards and decision-support tools that turn plant data into actionable insights for operators, supervisors, and engineers.

Using a modern stack including SQL, MongoDB, Ignition, and MBSE practices, you will translate operating needs into clear visualizations, drive standard

Qualifications

• 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.
• 3–5 years of experience translating functional requirements with engineers/business analysts into technical specs.
• Competent with T-SQL and database theory and structures.
• Experience with Python; Java is a plus.
• Strong communications skills and ability to work collaboratively.
• Knowledge of MBSE and SysML or similar is desired.
• Understanding of SDLC and ability to deliver iteratively.
• Manufacturing exposure and understanding of data governance desirable.

Responsibilities

• Design, develop, and maintain standard dashboards showing equipment status, process conditions, and KPI trends in near real-time.
• Translate plant needs into intuitive visual elements like statuses, thresholds, and alerts.
• Partner with operations leaders to define standard visualization patterns for consistency.
• Implement visual management tools for shift handoffs and performance boards.
• Build and support standardized reporting and visualization for KPIs such as OEE, throughput, downtime, yield, and cycle time.
• Collaborate to reuse best practices and develop reusable visualization components.
• Create data access utilities and curated interfaces for user-friendly data retrieval.
• Ensure dashboards are reliable, performant, and secure, with proper version control and change management.
• Provide documentation, training, and user guidance for adoption.

Skills

Data visualization

SQL / T-SQL

Python

Java

SDLC

Communication skills

MBSE / SysML

Industrial experience

Education

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

Tools

Microsoft SQL

MongoDB

Inductive Logic Historian

deviceWISE

Ignition

Job description

Data Visualization Engineer - Advanced Engineering

#1422

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 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

Requirements

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

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.

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