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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 Jul 2, 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 does a visualization engineer do?

A visualization engineer designs and develops visual representations of data to help users understand complex information. They often use tools like Tableau, D3.js, or Power BI and work closely with data analysts and developers to create interactive dashboards, charts, and graphics. Strong programming skills and knowledge of data structures are typically required for this role.

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 engineer makes $500,000 a year?

Highly experienced senior engineers in specialized fields such as software engineering, data engineering, or systems architecture can earn $500,000 or more annually, especially with bonuses, stock options, or in high-demand industries like technology or finance. Achieving this level typically requires advanced skills, extensive experience, and often leadership responsibilities or executive-level roles.

How much do data visualization engineers make?

Data visualization engineers typically earn a median salary ranging from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with skills in tools like Tableau, Power BI, or D3.js and relevant certifications tend to have higher earning potential.

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.

What engineers make $300,000 a year?

Senior visualization engineers, data engineers, and software engineers with extensive experience, specialized skills, and advanced certifications can earn $300,000 or more annually. High salaries are often associated with roles in large tech companies, finance, or industries requiring expertise in data visualization tools, programming, and cloud platforms.
What are popular job titles related to Visualization Engineer jobs in New York? For Visualization Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Visualization Engineer jobs in New York look for? The top searched job categories for Visualization Engineer jobs in New York are:
What cities in New York are hiring for Visualization Engineer jobs? Cities in New York with the most Visualization Engineer job openings:
Visualization Engineer jobs near you
Infographic showing various Visualization Engineer job openings in New York as of June 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $116,380 per year, or $56 per hour.

Data Visualization Engineer

ChaTeck Incorporated

Morristown, NJ • On-site

Other

Posted 7 days ago

Job description

Role Overview

Seeking a highly skilled Data Visualization Engineer with strong technical depth and design intuition. This role focuses on building interactive dashboards, insightdriven visual narratives, and highperformance BI solutions that make complex data clear, actionable, and trusted across the organization.

Core Responsibilities

  • Build interactive dashboards, reports, and visualizations that clearly communicate metrics, trends, and insights
  • Translate business questions and KPIs into effective visual stories
  • Select appropriate visualization types, tools, and design patterns
  • Connect BI tools to enterprise data sources (cloud warehouses, relational DBs, APIs, files)
  • Develop and optimize data models, semantic layers, and calculated metrics
  • Apply best practices in layout, color, typography, accessibility (WCAG), and UX
  • Maintain visualization standards, templates, and style guides
  • Improve dashboard performance through query tuning, caching, and efficient modeling
  • Collaborate with data engineers to ensure data quality and reliability
  • Support selfservice analytics with documentation, training, and reusable templates
  • Conduct peer reviews and provide technical guidance within the BI environment

Required Qualifications

  • 6+ years in data visualization, BI engineering, or related field
  • Expert in Power BI, Tableau, Looker, or Qlik Sense
  • Strong SQL for querying and optimizing large datasets
  • Solid understanding of star/snowflake schemas, relationships, aggregations, and semantic modeling
  • Experience connecting BI tools to Snowflake, Databricks, BigQuery, Azure Synapse, or Redshift
  • Strong grasp of data visualization principles, UX, and accessibility standards
  • Proven ability to turn business requirements into polished, productionready dashboards
  • Ability to work independently and manage multiple deliverables (consulting/contractor mindset)

Preferred Qualifications

    • Proficiency in multiple visualization platforms
    • Familiarity with Python or R for data prep or analytics integration
    • Knowledge of data governance, cataloging, and metadata management
    • Experience in COE or enterprise BI governance environments
    • Familiarity with Git and CI/CD for BI development
    • Background in regulated industries (finance, healthcare, retail, government)
  • Relevant BI or cloud certifications

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