Data Visualization Engineer Salary in 2024

Salary details

The average Data Visualization Engineer salary lies between USD 85,000 and USD 160,000 globally. 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.

All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Dec. 15, 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 | 84 jobs SQL | 63 jobs Power BI | 60 jobs Tableau | 50 jobs Agile | 47 jobs Engineering | 39 jobs Business Intelligence | 35 jobs Computer Science | 35 jobs Python | 30 jobs ETL | 30 jobs RDBMS | 30 jobs Security | 29 jobs Architecture | 29 jobs Azure | 29 jobs Data analysis | 28 jobs UX | 27 jobs Looker | 25 jobs Scrum | 25 jobs Consulting | 25 jobs AWS | 22 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 | 52 jobs Flex hours | 26 jobs Health care | 22 jobs Competitive pay | 17 jobs Wellness | 11 jobs Equity / stock options | 10 jobs Insurance | 9 jobs Salary bonus | 9 jobs Team events | 8 jobs Parental leave | 7 jobs Flex vacation | 7 jobs Medical leave | 7 jobs Pet friendly | 6 jobs 401(k) matching | 5 jobs Gear | 5 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 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 largest part of the total compensation package. Bonuses can vary significantly depending on the company's performance, individual performance, and industry standards. In tech-heavy regions like Silicon Valley, bonuses and stock options might be more prevalent, whereas in other regions, the base salary might dominate the compensation package. Larger companies or those in high-demand industries like tech or finance may offer more competitive bonuses and stock options compared to smaller companies or those in less competitive industries.

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.
• Advanced Education: Pursue advanced degrees or certifications that are relevant to your field.
• Networking: Build a strong professional network to learn about new opportunities and industry trends.
• Performance Excellence: Consistently exceed performance expectations to position yourself for promotions or raises.
• Negotiation Skills: Develop strong negotiation skills to better advocate for higher compensation during performance reviews or when switching jobs.

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 or require a master's degree, especially for more senior positions. A strong foundation in mathematics and statistics is often essential, as is proficiency in programming languages commonly used in data visualization, such as Python or R.

Helpful Certifications

While not always mandatory, certain certifications can enhance your qualifications and make you more competitive in the job market. Some valuable certifications include:

• Tableau Desktop Specialist or Certified Professional: For proficiency in one of the most popular data visualization tools.
• Microsoft Certified: Data Analyst Associate: For skills in using Microsoft Power BI.
• Certified Analytics Professional (CAP): For a broader understanding of analytics and data science.
• Google Data Analytics Professional Certificate: For foundational skills in data analysis and visualization.

Experience Requirements

Typically, employers look for candidates with at least 2-5 years of experience in data visualization or a related field. Experience with specific data visualization tools (e.g., Tableau, Power BI, D3.js) and programming languages (e.g., Python, R) is often required. Experience in data analysis, data storytelling, and working with large datasets is also highly valued.

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