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Senior Data Visualization Engineer Jobs (NOW HIRING)

Senior Data Visualization Analyst

Providence, RI ยท On-site +1

$93K - $140K/yr

The Sr Data Visualization Developer leads initiatives to design, develop, andmaintainintuitive business intelligence dashboards and selfservice analytics tools that enable business partners to ...

Data Visualization Specialist

Herndon, VA ยท On-site

$104K - $166K/yr

... with senior stakeholders. * Document architecture, calculation logic, governance controls, and ... Mentor junior visualization engineers, codify visualization standards, and introduce advanced ...

Data Visualization Specialist

Herndon, VA ยท On-site

$104K - $166K/yr

... with senior stakeholders. * Document architecture, calculation logic, governance controls, and ... Mentor junior visualization engineers, codify visualization standards, and introduce advanced ...

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Senior Data Visualization Engineer information

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$81K

$126.3K

$175K

How much do senior data visualization engineer jobs pay per year?

As of Jul 5, 2026, the average yearly pay for senior data visualization engineer in the United States is $126,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $144,000.00 per year, depending on experience, location, and employer.

How does a Senior Data Visualization Engineer typically collaborate with data scientists and business stakeholders?

Senior Data Visualization Engineers work closely with data scientists to understand complex datasets and translate analytical results into clear, actionable visual representations. They also engage with business stakeholders to gather requirements, ensure visualizations address key business questions, and iterate on designs based on feedback. Collaboration is usually cross-functional, requiring regular meetings, shared documentation, and the use of collaborative tools to ensure that visual solutions are both technically robust and aligned with organizational goals.

What does a Senior Data Visualization Engineer do?

A Senior Data Visualization Engineer designs, develops, and maintains interactive visual representations of data to help organizations understand complex information and make data-driven decisions. They work closely with data scientists, analysts, and business stakeholders to translate raw data into meaningful dashboards, charts, and reports. In addition to technical skills in programming and visualization tools, they often lead projects, mentor junior engineers, and ensure that visualizations are both accurate and user-friendly.

What are the key skills and qualifications needed to thrive as a Senior Data Visualization Engineer, and why are they important?

To thrive as a Senior Data Visualization Engineer, you need advanced proficiency in data analysis, data storytelling, and visualization design, usually supported by a degree in computer science, statistics, or a related field. Expertise with tools like Tableau, Power BI, D3.js, and proficiency in SQL and Python are typically required, along with knowledge of database systems. Strong communication, problem-solving, and collaboration skills help you translate complex data into actionable insights for diverse stakeholders. These skills ensure that data is presented clearly and effectively, enabling data-driven decision-making across organizations.
What cities are hiring for Senior Data Visualization Engineer jobs? Cities with the most Senior Data Visualization Engineer job openings:
What are the most commonly searched types of Data Visualization Engineer jobs? The most popular types of Data Visualization Engineer jobs are:
What states have the most Senior Data Visualization Engineer jobs? States with the most job openings for Senior Data Visualization Engineer jobs include:
Infographic showing various Senior Data Visualization Engineer job openings in the United States as of June 2026, with employment types broken down into 5% Internship, 63% Full Time, 14% Part Time, 9% Temporary, and 9% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $126,328 per year, or $60.7 per hour.
Data Visualization Engineer - Advanced Engineering

Data Visualization Engineer - Advanced Engineering

Dice

Newark, OH โ€ข On-site

Full-time

Posted 10 days ago


Job description

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. The role focuses on improving operational performance by creating clear visualizations of manufacturing data for various stakeholders, enabling data-driven decision-making and enhancing overall efficiency.
Responsibilities:
โ€ข 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
โ€ข Translate plant operating needs into intuitive visual elements (e.g., status states, trends, thresholds, alerts, control limits, and "at-a-glance" health indicators)
โ€ข 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
โ€ข Implement visual management tools for daily management routines (shift handoff, tier meetings, performance boards, escalation cues, action tracking)
โ€ข 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
โ€ข Collaborate on visualization design such that existing best practices are reused
โ€ข Develop reusable visualization components and templates so new areas/lines can be enabled quickly with minimal custom development
โ€ข 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
โ€ข Collaborate with data engineering / OT / IT resources to ensure visualization tools are built on trusted, governed data sources while minimizing duplication or manual workarounds
โ€ข Provide documentation, training, and user guidance to support adoption and sustained use of visualization tools
โ€ข Ensure dashboards and visualization tools are reliable, performant, and maintainable (version control, change management, release notes)
โ€ข Maintain alignment with cybersecurity, access control, and data governance requirements
โ€ข 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
โ€ข Ability to translate ambiguous user needs into clear visualization requirements, then deliver usable tools in iterative releases
Qualifications:
Required:
โ€ข Bachelor's degree in Software Engineering, Computer Science, Industrial Engineering, or related discipline; or equivalent experience
โ€ข Five years' visualization development experience, preferably in manufacturing or industrial settings
โ€ข 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
โ€ข Competent with T-SQL and database theory and structures
โ€ข Basic knowledge in networking and client-server transactions
โ€ข Broad contemporary understanding of information technologies and trends
โ€ข Demonstrated experience with MBSE and documentation, sysML or like
โ€ข Strong communications skills with ability to clearly articulate, collaborate and substantiate recommendations with team and illustrate and propose design concepts prior to software construction
โ€ข Ability to produce high quality, well documented, thoroughly tested, and efficient applications and reports
โ€ข Ability to work incrementally and comfortable with collaboration and peer review
โ€ข Use Software Development Lifecycle (SDLC) to incrementally evolve a system in phases
โ€ข Proven ability to manage concurrent development tasks
โ€ข Excellent problem solving, investigative, experimental, and statistical analysis skills
โ€ข 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
โ€ข Ability to translate ambiguous user needs into clear visualization requirements, then deliver usable tools in iterative releases
Preferred:
โ€ข Manufacturing experience is a plus.
โ€ข Exposure to Digital Twins a plus.
Company:
Dice is the go-to career marketplace for tech professionals. Founded in 2010, the company is headquartered in Drachten, NLD, with a team of 201-500 employees. The company is currently Growth Stage.