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Visualization Engineer Jobs in New York (NOW HIRING)

... 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 ...

... Data Visualization: Develop intuitive interfaces for presenting and interacting with complex time-series and topological data. Qualifications : Required : • 4+ years of software engineering ...

Build data visualization and query processing products used at large scale. * Create data platforms ... Grow your engineering skills in challenging areas and solve hard technical problems. * Influence ...

Showing results 41-60

Visualization Engineer information

See New York salary details

$88.6K

$116.4K

$198K

How much do visualization engineer jobs pay per year?

As of Aug 22, 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 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.

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 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 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.

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 August 2026, with employment types broken down into 69% Full Time, and 31% Part Time. Highlights an 66% In-person, and 34% Remote job distribution, with an average salary of $116,380 per year, or $56 per hour.

Lead Software Engineer - Tableau

JP Morgan Chase

Jersey City, NJ • On-site

Full-time

Medical, Retirement

Posted 7 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

71st of 171 rated banks


Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. 

As a Lead Software Engineer at JPMorganChase within the Corporate Sector's AIML and Data platform team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. 

Job responsibilities

  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
  • Builds visualizations that take complex information and make it more accessible, understandable, and usable to derive insights and enable better business decisions
  • Explores large data sets in Snowflake database, perform analyses, and identify unique storytelling opportunities.
  • Creates effective Tableau designs to help describe the business value of solutions to stakeholders
  • Participates in project status and stand up meetings, and assists with providing project status for project and program managers
  • Implements modern data visualization methodologies and maintains an up-to-date knowledge of data visualization strategies
  • Imports, transforms, and analyzes large data sets from disparate data sources
  • Collaborates with data engineers in ingesting and warehousing data to support data models
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
     

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Expertise in the design, development, implementation, and maintenance of Tableau dashboards and reports. 
  • Proficient in best practices around visualization and storytelling with data.
  • Experience with requirements gathering and client interactions.
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
  • Ability to understand and work with disparate data sources.
  • Practical cloud native experience
  • In-depth knowledge of the financial services industry and their IT systems
  • Self-starter, team-player and will be expected to manage and complete their tasks in a fast-paced results driven environment
     

Preferred qualifications, capabilities, and skills

  • Data Warehousing and Data Lake experience
  • Experience in aggregating and transforming data for optimized reporting 
  • Proficiency in SQL queries and working with SQL databases, including the development and optimization of procedures and views to enhance data management and retrieval processes
  • Familiarity and experience working with Tableau Agent and Tableau Pulse 
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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