Big Data Jobs: The Highest-Paying Top 10

Top firms are increasingly in need of people to fill new Big Data jobs. People with these skills are hard to come by and thus paid well.
Top firms are increasingly in need of people to fill new Big Data jobs. People with these skills are hard to come by and thus paid well.

Top firms are increasingly in need of people to fill new Big Data jobs. People with these skills are hard to come by and thus paid well.

Big Data is transforming businesses and driving global growth. Experts predict that Big Data jobs will rise by over 31% by 2030, providing many new opportunities. Top firms are increasingly in need of qualified people to fill new opportunities. In addition, professionals with these particular talents are hard to come by, thus data positions pay very well.

Big Data salaries are rising in step with demand. According to recent studies, many of these roles pay well into the six-figure range. In addition, most of these positions demand both advanced degrees and experience. That’s rare in a rapidly evolving field.

Eighty-one percent of data science and analytics job advertisements require three years of prior experience. In addition, 39 percent of these roles — particularly the highest-paying — require a master’s degree. How much do Big Data jobs pay? Here are the top Big Data jobs and their salaries. In addition, here are the skills one will need to snag them.

1. Big Data Engineer

  • Salary: $115,250-$168,250+

Similar to data analysts, Big Data engineers have the job of acquiring, analyzing, interpreting, and reporting on a company’s data. Furthermore, they often have to gather this data from a range of sources. In addition, they often must maintain and even design the company’s hardware and software architecture, as well as the methods and systems people use to access data.

2. Data Architect

  • Salary: $127,750-$176,500+

These experts create and maintain complex data structures. In addition, data architects communicate status, plans, and issues to their company’s leadership.

3. Data Security Analyst

  • Range: $115,000-166,750+

Data security analysts do risk assessments, security audits, and analyses to help improve data security. They often investigate data security breaches. In addition, they may develop security processes and policies to address security weak points.

4. Database Manager

  • Salary: $116,250-$165,500+

Database managers troubleshoot database issues. In addition, they might maintain and build storage hardware. They also might assist with database maintenance and design. Furthermore, they manage data analysis and storage within their organizations. These experts work directly with database developers. Additionally, they frequently train and mentor junior workers.

5. Business Intelligence Analyst

  • Range: $94,500-$141,500+

Business intelligence analysts help CEOs make better decisions by analyzing data. Additionally, they often provide specific information for management. However, they may also have to analyze data independently to spot trends. Business intelligence analysts should have extensive knowledge of reporting and analytical tools. In addition, they should know about data cube technologies and online analytical processing.

6. Data Scientist

  • Salary: $113,500-$162,500+

Data mining, modeling, and manufacturing processes are created by data scientists. These experts also create prototypes, predictive models, algorithms, and custom analyses. Furthermore, a data scientist should be proficient in data mining techniques such as clustering and regression analysis. Additionally, they should be familiar with the decision tree.

7. Data Modeler

  • Salary: $87,000-$134,750+

These experts distill enormous amounts of data into macro and trends that organizations may use. Data modelers must be knowledgeable in both statistical analysis and information science. In addition, they must be proficient in programming. Data modelers often specialize in a particular business area to help their employers uncover useful data trends.

8. Database Developer

  • $101,000-$140,750+

Inefficient coding must be streamlined, modernized, or eliminated by database developers. They frequently create new databases, evaluate database performance, and troubleshoot issues as they arise. Database developers collaborate closely with other developers. In addition, they frequently need prior data analysis, database development, and unit testing knowledge.

9. Database Administrator

  • Salary: $82,750-$124,500+

These experts monitor and optimize database performance to avoid damage from excessive traffic and continual access. Furthermore, they also work with IT security experts to protect data. Database administrators often have prior database administration team experience.

10. Data Analyst

  • Salary: $87,500-$126,250+

Business decisions are made better by data analysts who work with large amounts of data. They work in fields as diverse as healthcare, retail, banking, and technology. In addition, data analysts constantly strive to improve their own systems. The goal is to create scalable and reproducible solutions for massive data sets.

Making Big Data Your Career

Big Data is a rapidly expanding field with significant potential for experts worldwide. Now is a terrific time to enter the employment market for Big Data experts. Therefore, examine what experience and talents you’ll need to impress possible employers.

Big Data occupations frequently require advanced training and hands-on experience. This is because of their highly technical nature. Therefore, getting a graduate degree in your field of study might help you develop this expertise. In addition, it will allow you to show it to any potential employers when applying for a job.

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