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

Salary details

The average mid-level / intermediate Data Visualization Engineer salary lies between USD 65,000 and USD 120,000 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: Nov. 17, 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, 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 | 29 jobs SQL | 23 jobs Power BI | 23 jobs Engineering | 21 jobs Azure | 20 jobs Tableau | 18 jobs Consulting | 18 jobs Security | 18 jobs Agile | 18 jobs ETL | 17 jobs Architecture | 17 jobs Computer Science | 17 jobs Business Intelligence | 16 jobs Data analysis | 16 jobs AWS | 14 jobs UX | 14 jobs Snowflake | 14 jobs SSIS | 14 jobs Hadoop | 13 jobs Oracle | 13 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 | 14 jobs Flex hours | 7 jobs Health care | 5 jobs Competitive pay | 5 jobs Insurance | 5 jobs Medical leave | 4 jobs Parental leave | 3 jobs Flex vacation | 3 jobs Gear | 3 jobs Salary bonus | 3 jobs 401(k) matching | 2 jobs Team events | 2 jobs Wellness | 1 jobs Startup environment | 1 jobs

Salary Composition for a Mid-level Data Visualization Engineer

The salary for a Mid-level Data Visualization Engineer typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually constitutes the majority of the total compensation package. Performance bonuses can vary significantly depending on the company's performance and individual achievements. Additional remuneration might include stock options, especially in tech companies, or benefits like health insurance, retirement plans, and paid time off.

The composition of the salary can vary based on several factors:

• Region: Salaries in tech hubs like San Francisco, New York, or Seattle tend to be higher due to the cost of living and demand for tech talent. In contrast, regions with a lower cost of living might offer lower base salaries but could compensate with other benefits.

• Industry: Industries such as finance, healthcare, and technology often offer higher salaries compared to non-profit or educational sectors due to the critical nature of data-driven decision-making in these fields.

• Company Size: Larger companies might offer more comprehensive benefits and bonuses, while startups might offer equity or stock options as part of the compensation package.

Steps to Increase Salary from This Position

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 further education, such as a master's degree in data science or a related field, can open up higher-paying opportunities.

• Specialization: Specializing in a niche area, such as machine learning visualization or big data analytics, can make you stand out and command a higher salary.

• Networking: Building a strong professional network can lead to new opportunities and insights into higher-paying roles.

• Performance and Negotiation: Consistently exceed performance expectations and be prepared to negotiate your salary based on your contributions and market research.

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.

Helpful Certifications

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

• Tableau Desktop Specialist or Certified Professional: Validates your ability to use Tableau for data visualization.

• Microsoft Certified: Data Analyst Associate: Demonstrates proficiency in using Power BI for data analysis and visualization.

• Certified Analytics Professional (CAP): Offers a broader certification in analytics, which can be beneficial for data visualization roles.

Experience Requirements

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 a solid understanding of data storytelling and presentation.

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