Salary for Mid-level / Intermediate Data Visualization Engineer in United States during 2024

Salary details

The average mid-level / intermediate Data Visualization Engineer salary lies between USD 65,000 and USD 120,000 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 Mid-level / Intermediate Data Visualization Engineer roles

The three most common job tag items assiciated with mid-level / intermediate Data Visualization Engineer job listings are Data visualization, Power BI and SQL. 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 | 32 jobs Power BI | 26 jobs SQL | 25 jobs Engineering | 23 jobs Tableau | 21 jobs Agile | 21 jobs Security | 20 jobs Azure | 20 jobs Computer Science | 20 jobs Consulting | 18 jobs ETL | 17 jobs Business Intelligence | 17 jobs Architecture | 17 jobs Data Mining | 16 jobs SSIS | 16 jobs Data analysis | 16 jobs RDBMS | 15 jobs Looker | 14 jobs AWS | 14 jobs UX | 14 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Data Visualization Engineer roles

The three most common job benefits and perks assiciated with mid-level / intermediate 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 | 17 jobs Flex hours | 10 jobs Health care | 8 jobs Competitive pay | 8 jobs Insurance | 7 jobs Flex vacation | 6 jobs Medical leave | 6 jobs 401(k) matching | 5 jobs Parental leave | 5 jobs Gear | 5 jobs Salary bonus | 5 jobs Wellness | 2 jobs Team events | 2 jobs Startup environment | 1 jobs

Salary Composition

The salary for a Mid-level 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-heavy regions like Silicon Valley, bonuses and stock options might be more prevalent, whereas in other regions, the base salary might be more emphasized. Larger companies often offer more comprehensive benefits packages, including health insurance, retirement plans, and sometimes educational reimbursements, which can add significant value to the overall compensation.

Steps to Increase Salary

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

• Skill Enhancement: Continuously update your skills in the latest data visualization tools and technologies. Mastery of tools like Tableau, Power BI, and D3.js can make you more valuable.
• Advanced Education: Pursuing a master's degree or specialized courses in data science or machine learning can open up higher-paying opportunities.
• Networking: Engage with professional networks and communities. This can lead to new job opportunities and insights into industry trends.
• Certifications: Obtain relevant certifications that can validate your skills and make you stand out.
• Leadership Roles: Aim for roles that involve team leadership or project management, as these often come with higher pay.

Educational Requirements

Most Mid-level 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 employers may prefer candidates with a master's degree, especially for roles that require more complex data analysis and visualization skills. A strong foundation in mathematics and statistics is also beneficial.

Helpful Certifications

Certifications can enhance your resume and demonstrate your expertise. Some valuable certifications include:

• Tableau Desktop Specialist: Validates your ability to use Tableau for data visualization.
• Microsoft Certified: Data Analyst Associate: Demonstrates proficiency in using Power BI for data analysis.
• Certified Analytics Professional (CAP): A broader certification that covers various aspects of analytics and data science.
• Google Data Analytics Professional Certificate: Offers a comprehensive understanding of data analysis and visualization.

Required Experience

Typically, a Mid-level Data Visualization Engineer is expected to have 3-5 years of experience in data visualization or a related field. This experience should include hands-on work with data visualization tools, data analysis, and possibly some experience in data engineering or data science. Experience in specific industries, such as finance or healthcare, can also be advantageous depending on the job.

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