Salary for Senior-level / Expert Data Visualization Engineer during 2024

Salary details

The average senior-level / expert Data Visualization Engineer salary lies between USD 95,000 and USD 165,500 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. 22, 2024

Top 20 Job Tags for Senior-level / Expert Data Visualization Engineer roles

The three most common job tag items assiciated with senior-level / expert Data Visualization Engineer job listings are Data visualization, Tableau 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 | 27 jobs Tableau | 20 jobs SQL | 17 jobs Power BI | 17 jobs Computer Science | 12 jobs Python | 10 jobs Engineering | 10 jobs Statistics | 10 jobs Business Intelligence | 8 jobs Data Analytics | 8 jobs Architecture | 8 jobs Agile | 8 jobs Looker | 7 jobs Security | 7 jobs R | 6 jobs Data Warehousing | 6 jobs ETL | 6 jobs AWS | 6 jobs CAD | 6 jobs Azure | 6 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Data Visualization Engineer roles

The three most common job benefits and perks assiciated with senior-level / expert Data Visualization Engineer job listings are Career development, Health care and Equity / stock options. 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 | 20 jobs Health care | 14 jobs Equity / stock options | 9 jobs Wellness | 9 jobs Competitive pay | 6 jobs Team events | 6 jobs Pet friendly | 6 jobs Salary bonus | 5 jobs Flex hours | 4 jobs Fitness / gym | 4 jobs Startup environment | 4 jobs Parental leave | 3 jobs Flex vacation | 2 jobs Transparency | 2 jobs Relocation support | 2 jobs Medical leave | 2 jobs Insurance | 2 jobs 401(k) matching | 1 jobs Gear | 1 jobs Home office stipend | 1 jobs

Salary Composition

The salary for a Senior-level or Expert Data Visualization Engineer typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The composition can vary significantly depending on the region, industry, and company size. In tech hubs like Silicon Valley, the base salary might be higher, but companies often offer substantial stock options as part of the compensation package. In contrast, companies in other regions might offer a lower base salary but compensate with higher bonuses or profit-sharing. Industries such as finance or healthcare may offer higher bonuses due to the critical nature of data visualization in decision-making processes. Larger companies often have more structured bonus systems and additional perks, while startups might offer equity as a significant part of the compensation.

Increasing Salary

To increase your salary further from this position, consider the following strategies:

• Specialization: Develop expertise in niche areas of data visualization, such as interactive dashboards or real-time data processing, which are in high demand.
• Leadership Roles: Transition into leadership or managerial roles, such as leading a data visualization team or department.
• Cross-Disciplinary Skills: Acquire skills in related fields like machine learning, data engineering, or UX design to broaden your scope and value.
• Networking and Visibility: Attend industry conferences, publish articles, or speak at events to increase your visibility and reputation in the field.
• Negotiation: Regularly review and negotiate your compensation package, especially when taking on additional responsibilities or after successful project completions.

Educational Requirements

Most Senior-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. However, a master's degree or even a Ph.D. can be advantageous, especially for roles in research-intensive industries or academia. Advanced degrees often provide deeper knowledge and research skills that are valuable in complex data visualization tasks.

Helpful Certificates

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

• Tableau Certification: Validates your skills in one of the most popular data visualization tools.
• Microsoft Certified: Data Analyst Associate: Demonstrates proficiency in data analysis and visualization using Microsoft Power BI.
• Certified Analytics Professional (CAP): Covers a broad range of analytics skills, including data visualization.
• Google Data Analytics Professional Certificate: Offers foundational skills in data analysis and visualization.

Required Experience

Typically, a Senior-level Data Visualization Engineer is expected to have 5-10 years of experience in data visualization or related fields. This experience should include hands-on work with data visualization tools, programming languages like Python or R, and experience in designing and implementing complex data visualizations. Experience in leading projects or teams is also highly valued.

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