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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 9, 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 • Hybrid

$118K - $141K/yr

Other

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

Job description

Job Title: 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 staffing and services company that has been bringing businesses and talent together for over 20 years to deliver innovative technology solutions that create meaningful impact. AES helps enterprises, including Fortune 500 organizations, engage customers, empower employees, and transform operations through cloud, data, AI, and emerging technologies.

We’re seeking a Data Visualization Engineer (6+ years) who blends strong BI engineering skills with design intuition to deliver interactive dashboards, insight-driven visual narratives, and high-performance reporting solutions. You’ll translate business questions into clear, trusted visual experiences, connect BI tools to modern data platforms, and optimize semantic layers and models so stakeholders can confidently make data-driven decisions.

What you’ll do
  • Build interactive dashboards, reports, and visualizations that communicate KPIs, trends, and insights clearly.
  • Translate business questions into effective visual stories and measurable metrics.
  • Choose appropriate chart types, design patterns, and interaction models for different audiences and use cases.
  • Connect BI tools to enterprise data sources (cloud warehouses, relational databases, APIs, flat files).
  • Develop and optimize data models, semantic layers, calculated metrics, and reusable measures.
  • Apply best practices in layout, color, typography, accessibility (WCAG), and UX to improve usability and adoption.
  • Define and maintain visualization standards, templates, and style guides for consistent delivery.
  • Improve dashboard performance through query tuning, caching strategies, incremental refresh, and efficient modeling.
  • Partner with data engineering teams to validate data quality, reliability, and documentation.
  • Enable self-service analytics through training, documentation, and reusable dashboard templates.
  • Perform peer reviews and provide technical guidance within the BI development environment.
Required qualifications
  • 6+ years of experience in data visualization, BI engineering, or a related field.
  • Expert-level proficiency in Power BI, Tableau, Looker, or Qlik Sense.
  • Strong SQL skills for querying, optimizing, and troubleshooting large datasets.
  • Solid understanding of BI data modeling concepts: star/snowflake schemas, relationships, aggregations, and semantic modeling.
  • Experience integrating BI tools with modern data platforms such as Snowflake, Databricks, BigQuery, Azure Synapse, or Amazon Redshift.
  • Strong grounding in data visualization principles, UX practices, and accessibility standards (WCAG).
  • Proven ability to convert requirements into polished, production-ready dashboards and reports.
  • Ability to work independently, manage multiple deliverables, and communicate proactively (consulting/contractor mindset).
Nice to have
  • Proficiency across multiple BI platforms (e.g., both Power BI and Tableau).
  • Python or R experience for data preparation, automation, or analytics integration.
  • Exposure to data governance, cataloging, metadata management, and BI CoE standards.
  • Familiarity with Git and CI/CD practices for BI development and deployment.
  • Experience in regulated industries (finance, healthcare, retail, government).
  • Relevant BI and/or cloud certifications.
Mandatory skills (quick summary)
  • BI platforms: Power BI / Tableau / Looker / Qlik Sense (expert)
  • SQL and large-scale data querying/optimization
  • BI data modeling: star/snowflake, semantic layers, aggregations, calculated metrics
  • Connectivity: Snowflake / Databricks / BigQuery / Azure Synapse / Redshift
  • Visualization + UX: hierarchy, color, typography, accessibility (WCAG), interactivity
  • Performance optimization: query tuning, caching, incremental refresh, efficient modeling
  • Requirements translation + stakeholder communication
  • Standards/governance: templates, style guides, reusable components
  • Data quality collaboration with engineering teams
  • Independent delivery across multiple priorities

Ready to make an impact? Apply now and join us on our journey!

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