7. Big Data Engineer

Next up is Big Data Engineer, it's a career that will never go out of style, especially with all of the data we generate on a daily basis.

Career; Role & Description.

A Big Data Engineer is a high-level position that requires you to build, manage, and maintain big data applications using technologies such as Hadoop, Spark, Spark SQL, and others.

Day in the Life of a Big Data Engineer

Big Data Engineers are in charge of developing applications that mine massive amounts of data from various sources, such as social media platforms, websites, and mobile apps. Their primary responsibilities include the following:

• Developing scalable systems for traditional and next-generation data processing applications that are designed to scale with various types of hardware configurations
• Developing complex business intelligence solutions using distributed computing platforms like Hadoop or Spark SQL
• Analyzing large datasets using advanced analytical tools like SQL Server Integration Services (SSIS)
• Writing code in C++ or Python programming languages
• Creating prototypes for system implementations using Java Development Framework (JDK)

Average Earnings of a Big Data Engineer

According to Glassdoor, the estimated total average salary for a US-based Big Data Engineer is $116,530 depending on experience level and location in which they choose to work.

How in Demand Is This Position?

According to LinkedIn, the role of a Big Data Engineer is very much future proof and will continue to be in demand. Enterprises are looking to move from on-premises to the cloud and build scalable data infrastructure there, necessitating the need for Big Data Engineers.