2023 Data Integration Engineer Salary Expectations in the US
Solutions Review explores the state of data integration engineer salary in the United States, along with a link to the most popular e-learning training.
Data integration engineering is a field that focuses on designing and building the infrastructure necessary to integrate data from multiple sources. In the United States, data integration 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 data integration engineer in the United States is $103,634 per year. However, salaries can vary significantly based on several factors such as location, industry, and experience level. For example, data integration engineers working in major tech hubs like San Francisco and Seattle can expect higher salaries, with an average salary of $119,725 and $113,342, respectively.
Data Integration Engineer Salary Expectations
Industry is another critical factor that influences data integration engineer salaries in the United States. The technology industry is currently the industry with the highest demand for data integration engineers, and professionals in this industry can expect an average salary of $115,961 per year. Other industries with high-paying data integration engineer roles include finance, healthcare, and e-commerce.
Experience level is also a critical consideration when it comes to data integration engineer salaries in the United States. Entry-level engineers with less than one year of experience can expect an average salary of $77,000 per year, while those with 1-3 years of experience can expect an average salary of $90,000 per year. Mid-level engineers with 4-6 years of experience can expect an average salary of $115,000 per year, while senior engineers with 7+ years of experience can expect an average salary of $140,000 per year.
Education is also an important factor that influences data integration 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. Data integration engineers with a master’s degree can expect an average salary of $117,000 per year, while those with a Ph.D. can expect an average salary of $140,000 per year.
In addition to base salaries, data integration 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.
Data integration engineering is a promising career path in the United States, with salaries expected to remain competitive in 2023. Salaries for data integration engineers can vary depending on factors such as location, industry, experience level, and education. With the right combination of skills and experience, data integration 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.
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