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Visualization Engineer Jobs in New York (NOW HIRING)

Python engineers in capital markets are responsible for developing, maintaining, and improving ... Strong knowledge of data analysis and visualization tools (e.g., Pandas, Matplotlib). Understanding ...

... visualization, and machine learning. Beyond our own environment, we also recognize the value of ... That said, we're interested in talented engineers with experience in any language-most of us came ...

... visualization, and machine learning. Beyond our own environment, we also recognize the value of ... That said, we're interested in talented engineers with experience in any language-most of us came ...

Big Data Solutions Engineer

Bridgewater, NJ

$57 - $75.50/hr

... Postgres, Visualization technologies etc. Flair for data, schema, data model, how to bring ... Programming language -- Java (must), Python, Scala, Ruby * Batch processing -- Hadoop MapReduce ...

... visualization of the data, and making key decisions on when we should build vs buy • Function as a research engineer for our ML team - building out tooling and infra as needed to keep their ...

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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 4, 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:
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.

Senior Full Stack Software Engineer

CVector - Industrial AI

Manhattan, NY • On-site

$132K - $150K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 2 days ago


Job description

CVector's mission is to bring real time economic optimization and AI prediction to every energy and manufacturing plant.
Industrial facilities make decisions every minute that determine cost, reliability, and margin, but the signals that matter live in different worlds: live asset constraints and process reality on one side, feedstock prices, product prices, demand, and market dynamics on the other. We fuse those worlds into one decision layer that continuously forecasts what is coming, simulates what could happen, and optimizes what to do next, so plants can run closer to their true economic potential every day.
This position works from our New York City office four days per week. CVector has customers across the United States and operates real-world systems in demanding industrial environments.
Role Overview
As a Senior Full Stack Software Engineer, you will play a key role in designing, building, and evolving CVector's core platform-including our web applications, back-end data pipelines, and industrial gateways. You will help deliver robust, intuitive user experiences centered around real-time data visualization and operational insight, deployed in demanding environments such as power generation facilities and chemical plants.
This role requires strong technical judgment, a bias toward shipping high-quality software, and a product-oriented mindset. You should be comfortable working across the stack, learning new technologies quickly, and taking ownership of complex problems in a fast-moving startup environment. You will collaborate closely with other engineers and will have opportunities to lead technical initiatives and influence architecture and product direction.
Responsibilities
As a Senior Full Stack Software Engineer, you will:
  • Lead development of real-time data visualization platform to create beautiful data visualizations and integrate inspiring AI-driven insights
  • Design, implement, and deploy features and bug fixes across the full software stack, from front-end UI to back-end services and data stores
  • Collaborate with product and design to translate user needs into well-scoped, high-quality technical solutions
  • Ensure system reliability and maintainability through automated unit, integration, and end-to-end testing
  • Participate in an on-call rotation and help improve operational tooling and observability
  • Contribute to technical decision-making, architecture discussions, and code reviews
  • Mentor junior engineers and help raise the overall quality and velocity of the team
  • Occasionally travel to customer sites to gain firsthand understanding of real-world usage and constraints

Requirements
Our current technology stack includes Python, TypeScript, React, Supabase, MQTT, Figma, Arco Design, TigerData, PostgreSQL, and AWS, with development workflows managed through GitHub.
A strong candidate will bring:
  • A relevant engineering degree or equivalent professional experience demonstrating a solid foundation in computer science
  • 2+ years experience developing production software using Python and/or TypeScript
  • Experience building modern web applications with front-end frameworks (e.g., React) and back-end services
  • Familiarity with cloud infrastructure, databases, and real-time or event-driven systems
  • Experience with data visualization, dashboards, or complex UI state is a strong plus
  • Strong communication skills and the ability to collaborate effectively in a remote-first team
  • Comfort working in a startup environment with evolving requirements and high ownership
  • Willingness to travel occasionally, both domestically and internationally

Benefits
CVector provides team members with:
  • A competitive compensation package with meaningful equity upside
  • A robust selection of health, dental, and vision insurance options
  • Optional Health Flexible Spending Account (FSA)
  • Unlimited PTO with a three week minimum per year, plus additional sick days
  • Top of the line work equipment and IT setup, including high performance laptops and a modern developer stack
  • Unlimited access to the latest AI agent systems and productivity tools to help you move faster and build better
  • Visa support for candidates currently based in the US, including employer sponsored visa applications where applicable

The anticipated base salary range for this role is $132,000 to $150,000.