Job Summary:
Kaiser Aluminum is known around the world for its superior quality, and they are seeking a Manufacturing Data Visualization Engineer to join their Advanced Engineering team. This role focuses on improving operational performance by creating clear and practical visualizations of manufacturing data to support decision-making across the value stream.
Responsibilities:
โข 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
โข Translate plant operating needs into intuitive visual elements (e.g., status states, trends, thresholds, alerts, control limits, and "at-a-glance" health indicators)
โข 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
โข Implement visual management tools for daily management routines (shift handoff, tier meetings, performance boards, escalation cues, action tracking)
โข 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
โข Collaborate on visualization design such that existing best practices are reused
โข Develop reusable visualization components and templates so new areas/lines can be enabled quickly with minimal custom development
โข 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
โข Collaborate with data engineering / OT / IT resources to ensure visualization tools are built on trusted, governed data sources while minimizing duplication or manual workarounds
โข Provide documentation, training, and user guidance to support adoption and sustained use of visualization tools
โข Ensure dashboards and visualization tools are reliable, performant, and maintainable (version control, change management, release notes)
โข Maintain alignment with cybersecurity, access control, and data governance requirements
โข 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
โข Ability to translate ambiguous user needs into clear visualization requirements, then deliver usable tools in iterative releases
Qualifications:
Required:
โข Bachelor's degree in Software Engineering, Computer Science, Industrial Engineering, or related discipline; or equivalent experience
โข Five years' visualization development experience, preferably in manufacturing or industrial settings
โข 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
โข Competent with T-SQL and database theory and structures
โข Basic knowledge in networking and client-server transactions
โข Broad contemporary understanding of information technologies and trends
โข Demonstrated experience with MBSE and documentation, sysML or like
โข Strong communications skills with ability to clearly articulate, collaborate and substantiate recommendations with team and illustrate and propose design concepts prior to software construction
โข Ability to produce high quality, well documented, thoroughly tested, and efficient applications and reports
โข Ability to work incrementally and comfortable with collaboration and peer review
โข Use Software Development Lifecycle (SDLC) to incrementally evolve a system in phases
โข Proven ability to manage concurrent development tasks
โข Excellent problem solving, investigative, experimental, and statistical analysis skills
โข 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
โข Ability to translate ambiguous user needs into clear visualization requirements, then deliver usable tools in iterative releases
Preferred:
โข Manufacturing experience is a plus.
โข Exposure to Digital Twins a plus.
Company:
Dice offers a marketplace that enables direct connections between recruiters and technologists. Founded in 1990, the company is headquartered in Centennial, USA, with a team of 201-500 employees. The company is currently Growth Stage.