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Visualization Engineer Jobs in New York (NOW HIRING)

The AES Group

Data Visualization Engineer

Morristown, NJ · On-site

$117K - $141K/yr

Data Visualization Engineer Location: Morristown, NJ (Hybrid -- 3 days/week onsite) Let's create our future together at The AES Group! About The AES Group The AES Group is a premier technology ...

Seven Seven Software

Data Engineer

Newark, NJ · On-site

$119K - $143K/yr

Understanding of automated QA needs related to Big Data and visualization platforms. Requirements ... Programming language -- Java (must), Python, Scala, Ruby * Batch processing -- Hadoop MapReduce ...

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All JobsVisualization Engineer JobsVisualization Engineer Jobs in New York

Visualization Engineer information

See New York salary details

$88.6K

$116.4K

$198K

How much do visualization engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for visualization engineer in New York is $116,380.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,200.00 and $109,400.00 per year, depending on experience, location, and employer.

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 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.

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.

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.
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Visualization Engineer jobs near you

Visualization Engineer

Tata Consultancy Service Limited

New York, NY • On-site

$90K - $110K/yr

Full-time

Medical, Vision

This job post has expired today. Applications are no longer accepted.

Job description

Must Have Technical/Functional Skills
Visualization Engineer / Power BI Developer for translating predictive model outputs and curated datasets into intuitive, governed, and self-service Power BI experiences for business and executive stakeholders.
Roles & Responsibilities
• Design and develop Power BI dashboards and reports for utilization analysis, predictions, and variance explanations
• Build executive level visualizations that clearly communicate:
• Expected vs actual utilization
• Drivers of deviation (attribution insights)
• Trends across member demographics, geography, plan design, and time
• Work with Data Scientists to consume model outputs and present them in a business friendly and interpretable manner
• Develop and maintain Power BI Semantic Models aligned to agreed business definitions and KPIs
• Implement DAX measures, calculations, and hierarchies to support advanced analytical views
• Ensure data consistency between dashboards, underlying datasets, and AI driven interactions (Copilot / Data Agents where enabled)
• Apply best practices for usability, performance optimization, and visual storytelling
• Support self service analytics enablement for non technical business users
Required Skills & Experience
Power BI & Visualization
• Strong hands on experience with Power BI (reporting, dashboards, DAX, semantic modeling)
• Proven ability to design executive ready, insight driven dashboards (not just operational reports)
• Experience implementing row level security (RLS) and governed access models (preferred)
Data & Platform
• Experience working with cloud data platforms (Microsoft Fabric preferred; Azure Synapse / Databricks acceptable)
• Ability to work with curated analytical datasets sourced from SQL based data warehouses
• Comfortable collaborating with Data Engineering and Data Science teams
Domain & Business Understanding
• Experience supporting insurance, healthcare, or benefits analytics use cases (claims, utilization, member analytics preferred)
• Strong ability to translate business questions into visual analytics
Salary Range: $90,000 to $110,000 per year

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