2023 Big Data Engineer Salary Expectations in the United States

Solutions Review explores the state of big data engineer salary in the United States, along with a link to the most popular e-learning training.

Big data engineers are professionals who specialize in designing and building the infrastructure necessary for handling and processing large volumes of data. In the United States, big data engineer salaries are expected to remain highly competitive in 2023, as businesses continue to invest in data-driven technologies.

According to a report by Glassdoor, the national average salary for a big data engineer in the United States is $123,857 per year. However, salaries can vary significantly based on several factors such as location, industry, and experience level. For example, big data engineers working in major tech hubs like San Francisco and Seattle can expect higher salaries, with an average salary of $142,568 and $135,478, respectively.

Big Data Engineer Salary Expectations

Industry is another critical factor that influences big data engineer salaries in the United States. The technology industry is currently the industry with the highest demand for big data engineers, and professionals in this industry can expect an average salary of $136,306 per year. Other industries with high-paying big data engineer roles include finance, healthcare, and e-commerce.

Experience level is also a critical consideration when it comes to big data engineer salaries in the United States. Entry-level engineers with less than one year of experience can expect an average salary of $85,000 per year, while those with 1-3 years of experience can expect an average salary of $102,000 per year. Mid-level engineers with 4-6 years of experience can expect an average salary of $123,857 per year, while senior engineers with 7+ years of experience can expect an average salary of $150,000 per year.

Education is also an important factor that influences big data engineer salaries in the United States. While a bachelor’s degree in a related field such as computer science or engineering may be sufficient, having a master’s degree or Ph.D. can significantly increase earning potential. Big data engineers with a master’s degree can expect an average salary of $136,306 per year, while those with a Ph.D. can expect an average salary of $165,000 per year.

In addition to base salaries, big data engineers may also receive other benefits and perks such as health insurance, retirement plans, and paid time off. They may also have the opportunity to work on exciting projects and gain valuable experience that can help advance their careers.

Big data engineering is a promising career path in the United States, with salaries expected to remain competitive in 2023. Salaries for big data engineers can vary depending on factors such as location, industry, experience level, and education. With the right combination of skills and experience, big data engineers can expect to earn a comfortable salary and enjoy a fulfilling career in a growing industry.

Recommended Data Integration Training

TITLE: Become a Data Engineer Nanodegree

OUR TAKE: This module will show you how to build a production-ready data infrastructure. This training will take you 5 months to complete, and intermediate Python and SQL skills are recommended.

Description: Learn to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets. At the end of the program, you’ll combine your new skills by completing a capstone project. Students will learn to create relational and NoSQL data models to fit the diverse needs of data consumers, as well as sharpen your data warehousing skills and deepen your understanding of data infrastructure.