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Visualization Engineer Jobs (NOW HIRING)

Data Analytics & Visualization Engineer

Shiloh, IL · On-site

$106K - $128K/yr

We are seeking a Data Analytics & Visualization Engineer to join the Real-Time Visibility (RTV) team. This is an exciting opportunity to work in a fast-paced environment where innovation ...

IL · On-site

$128K - $153K/yr

Job Title: Data Analytics & Visualization Engineer Security Clearance: Secret Location : Scott AFB, IL (Due to the nature of the work and contract requirements, U.S. Citizenship is required ...

Steampunk wants you to join our awesome team as a Senior Data Visualization Engineer. In this role you'll be working with a large team of Steampunk and clients to identify data sources, tools, and ...

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The Data Engineer is responsible for designing, developing, and maintaining enterprise data pipelines, dashboards, and visualization solutions that support operational monitoring, analytics, and ...

New

Overview Steampunk wants you to join our awesome team as a Senior Data Visualization Engineer. In this role you'll be working with a large team of Steampunk and clients to identify data sources ...

Be Seen First

The Data Engineer is responsible for designing, developing, and maintaining enterprise data pipelines, dashboards, and visualization solutions that support operational monitoring, analytics, and ...

New

As a Product Visualization Engineer , you'll be the bridge between complex models and real‑world usability. Your primary focus will be designing and shipping front‑end tools that make simulations ...

New

Overview Steampunk wants you to join our awesome team as a Senior Data Visualization Engineer. In this role you'll be working with a large team of Steampunk and clients to identify data sources ...

Showing results 21-40

Visualization Engineer information

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$81K

$106.4K

$181K

How much do visualization engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for visualization engineer in the United States is $106,377.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,500.00 and $100,000.00 per year, depending on experience, location, and employer.

What is a visualization engineer?

A Visualization Engineer is a professional who designs, develops, and implements data visualization solutions to help organizations interpret complex data. They use tools and programming languages like D3.js, Tableau, or Python to create interactive charts, graphs, and dashboards. Their main goal is to turn raw data into visually engaging and insightful representations, enabling better decision-making. Visualization Engineers often collaborate with data scientists, analysts, and stakeholders to understand requirements and ensure the visualizations effectively communicate key information.

How does a visualization engineer typically collaborate with data scientists and other stakeholders on projects?

Visualization Engineers play a crucial role in bridging the gap between raw data and actionable insights. They work closely with data scientists to understand the underlying data sets, define the goals of the visualization, and ensure the technical feasibility of proposed solutions. Regular meetings and iterative feedback sessions with business stakeholders are common to ensure the visualizations meet business requirements and usability standards. This collaboration often involves translating complex analytical findings into intuitive visuals that help guide decision-making across teams.

What are the key skills and qualifications needed to thrive as a visualization engineer, and why are they important?

To thrive as a Visualization Engineer, you need expertise in data visualization principles, programming languages like JavaScript or Python, and a background in computer science or a related field. Familiarity with visualization libraries (such as D3.js, Tableau, or Power BI), data analytics platforms, and experience with databases are typically required. Strong problem-solving skills, creativity, and the ability to communicate complex data visually make someone stand out in this position. These skills are crucial for transforming raw data into actionable insights that drive informed decision-making across organizations.

What is the difference between Visualization Engineer vs Data Analyst?

AspectVisualization EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; experience with visualization toolsBachelor's in Statistics, Math, or related; proficiency in data analysis tools
Work EnvironmentDesigning visual data representations, working with developers and designersAnalyzing data sets, generating reports, interpreting data trends
Industry UsageTech, finance, marketing, where visual data storytelling is keyBusiness, finance, healthcare, focusing on data insights

While both roles involve working with data, Visualization Engineers focus on creating visual representations and dashboards, often collaborating with developers. Data Analysts primarily analyze data sets to extract insights and generate reports. The roles overlap in skills like data handling and visualization tools, but their core responsibilities differ in focus and output.

More about Visualization Engineer jobs

What cities are hiring for Visualization Engineer jobs?

Cities with the most Visualization Engineer job openings:

What states have the most Visualization Engineer jobs?

States with the most job openings for Visualization Engineer jobs include:

Infographic showing various Visualization Engineer job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $106,377 per year, or $51.1 per hour.

Data Visualization Engineer - Advanced Engineering

Kaiser Aluminum

Heath, OH • On-site

Full-time

Re-posted 11 days ago


Kaiser Aluminum rating

7.4

Company rating: 7.4 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

296th of 543 rated manufacturers


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!
"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.

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