Real-Time Manufacturing Visualization 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 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.