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Data 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 ...

NAVA Software Solutions

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Data Engineer Location: Remote Project Duration: 6-12 months Responsibilities: * Analysis, design ... Proven skills with data visualization tools: Microsoft Excel (PowerPivot, Pivot Tables, Slicers)

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All JobsData Visualization Engineer JobsData Visualization Engineer Jobs in New York

Data Visualization Engineer information

See New York salary details

$48.7K

$141.9K

$194.2K

How much do data visualization engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for data visualization engineer in New York is $141,914.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,300.00 and $150,400.00 per year, depending on experience, location, and employer.

What is a Data Visualization Engineer job?

A Data Visualization Engineer is responsible for designing, developing, and implementing visual representations of data to help stakeholders understand complex information. They use tools like Tableau, D3.js, Power BI, and Python libraries (e.g., Matplotlib, Seaborn) to create interactive dashboards and reports. Their role involves working with large datasets, ensuring data accuracy, optimizing performance, and collaborating with analysts and developers to enhance decision-making. Strong programming, data analysis, and UX/UI design skills are essential for success in this role.

What are some common challenges faced by Data Visualization Engineers, and how can they overcome them?

Data Visualization Engineers often encounter challenges such as translating complex data into clear, actionable visuals for non-technical stakeholders and ensuring that graphics remain both accurate and engaging. Balancing the needs of different departments, adhering to fluctuating project requirements, and managing large or messy datasets can also be demanding. Successful engineers address these issues by working closely with data analysts, business users, and designers, using feedback to iterate on their work, and staying current with the latest visualization best practices. Proactive communication and strong organization skills further help in meeting deadlines and maintaining quality standards.

What are the key skills and qualifications needed to thrive in the Data Visualization Engineer position, and why are they important?

To thrive as a Data Visualization Engineer, you need a strong grasp of data analysis, visual storytelling, and programming, often supported by a degree in computer science, data science, or a related field. Familiarity with tools like Tableau, Power BI, D3.js, and proficiency in languages such as Python or JavaScript are commonly required, along with experience in databases and dashboard development. Strong communication, problem-solving, and collaboration skills help you effectively transform and present complex data to diverse audiences. These abilities are crucial for creating impactful, user-friendly visualizations that drive informed business decisions.

What are the most commonly searched types of Data Visualization Engineer jobs in New York? The most popular types of Data Visualization Engineer jobs in New York are:
What are popular job titles related to Data Visualization Engineer jobs in New York? For Data Visualization Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Data Visualization Engineer jobs in New York look for? The top searched job categories for Data Visualization Engineer jobs in New York are:
Data Visualization Engineer jobs near you
Infographic showing various Data Visualization Engineer job openings in New York as of June 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $141,914 per year, or $68.2 per hour.

Data Visualization Engineer

ChaTeck Incorporated

Morristown, NJ

Other

Posted 14 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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