Data Visualization Engineer Salary in United States during 2024

Salary details

The average Data Visualization Engineer salary lies between USD 85,000 and USD 172,000 in the United States. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Dec. 22, 2024

Top 20 Job Tags for Data Visualization Engineer roles

The three most common job tag items assiciated with Data Visualization Engineer job listings are Data visualization, SQL and Power BI. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

Data visualization | 86 jobs SQL | 65 jobs Power BI | 62 jobs Tableau | 52 jobs Agile | 49 jobs Engineering | 40 jobs Business Intelligence | 36 jobs Computer Science | 36 jobs RDBMS | 32 jobs ETL | 31 jobs Security | 31 jobs Python | 30 jobs Azure | 30 jobs Architecture | 29 jobs Data analysis | 28 jobs UX | 27 jobs Scrum | 26 jobs Consulting | 26 jobs Looker | 25 jobs AWS | 23 jobs

Top 20 Job Perks/Benefits for Data Visualization Engineer roles

The three most common job benefits and perks assiciated with Data Visualization Engineer job listings are Career development, Flex hours and Health care. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 54 jobs Flex hours | 28 jobs Health care | 23 jobs Competitive pay | 18 jobs Wellness | 11 jobs Equity / stock options | 10 jobs Insurance | 10 jobs Salary bonus | 10 jobs Parental leave | 8 jobs Flex vacation | 8 jobs Team events | 8 jobs Medical leave | 8 jobs 401(k) matching | 6 jobs Gear | 6 jobs Pet friendly | 6 jobs Startup environment | 5 jobs Fitness / gym | 4 jobs Transparency | 2 jobs Relocation support | 2 jobs Home office stipend | 1 jobs

Salary Composition for a Data Visualization Engineer

The salary for a Data Visualization Engineer in the United States typically comprises a base salary, bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually forms the majority of the total compensation package. Bonuses can vary significantly depending on the company’s performance, individual performance, and industry standards. In tech hubs like Silicon Valley, bonuses and stock options might be more substantial compared to other regions. Larger companies or those in high-demand industries like tech or finance may offer more competitive packages, including comprehensive benefits and stock options, compared to smaller companies or those in less competitive regions.

Steps to Increase Salary

To increase your salary from the position of a Data Visualization Engineer, consider the following strategies:

• Skill Enhancement: Continuously update your skills with the latest tools and technologies in data visualization and related fields like machine learning and data science.
• Advanced Education: Pursuing a master's degree or specialized courses in data science, computer science, or business analytics can make you more competitive.
• Networking: Engage with professional networks and communities to learn about new opportunities and trends.
• Leadership Roles: Aim for leadership or managerial roles within your team or organization, which often come with higher pay.
• Industry Shift: Consider moving to industries that pay higher for data visualization skills, such as finance, healthcare, or tech.

Educational Requirements

Most Data Visualization Engineer positions require at least a bachelor's degree in a related field such as computer science, data science, statistics, or information technology. Some roles may prefer candidates with a master's degree, especially for more senior positions. A strong foundation in mathematics and statistics is also beneficial.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile and demonstrate your expertise:

• Tableau Certification: Proves proficiency in one of the most popular data visualization tools.
• Microsoft Certified: Data Analyst Associate: Validates your ability to help businesses maximize the value of their data assets.
• Certified Analytics Professional (CAP): Demonstrates your ability to transform data into valuable insights.
• Google Data Analytics Professional Certificate: Offers a comprehensive understanding of data analytics and visualization.

Experience Requirements

Typically, employers look for candidates with at least 2-5 years of experience in data visualization or related fields. Experience with data analysis, business intelligence tools, and a strong portfolio showcasing your visualization projects can be crucial. Experience in specific industries can also be advantageous, as it provides context and understanding of industry-specific data challenges.

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