A data engineer is responsible for transforming raw and unstructured data into a useful format for analysis. They do this by building and maintaining an analytics infrastructure that enables all other data functions, including large-scale processing systems, databases, and servers.
Data engineers are employed by software corporations, computer system design manufacturers, or even computer manufacturers. They work alongside software engineers, data scientists, a data analytics team, and data warehousing engineers to efficiently execute project objectives.
A successful data engineer should have a strong foundation in software engineering and knowledge of programming languages, such as Python, Ruby, Java, SQL, and Scala. Data engineers typically work a full-time schedule at 40 hours a week, Monday to Friday. They may be required to work extra hours or on weekends, too. For this extensive background knowledge, data engineers earn $50.69 every hour for their services.
There is more than meets the eye when it comes to being a data engineer. For example, did you know that they make an average of $47.96 an hour? That's $99,766 a year!
Between 2018 and 2028, the career is expected to grow 21% and produce 284,100 job opportunities across the U.S.
There are certain skills that many data engineers have in order to accomplish their responsibilities. By taking a look through resumes, we were able to narrow down the most common skills for a person in this position. We discovered that a lot of resumes listed creativity, problem-solving skills and detail oriented.
When it comes to the most important skills required to be a data engineer, we found that a lot of resumes listed 12.7% of data engineers included python, while 6.4% of resumes included big data, and 5.0% of resumes included etl. Hard skills like these are helpful to have when it comes to performing essential job responsibilities.
When it comes to searching for a job, many search for a key term or phrase. Instead, it might be more helpful to search by industry, as you might be missing jobs that you never thought about in industries that you didn't even think offered positions related to the data engineer job title. But what industry to start with? Most data engineers actually find jobs in the technology and finance industries.
If you're interested in becoming a data engineer, one of the first things to consider is how much education you need. We've determined that 42.3% of data engineers have a bachelor's degree. In terms of higher education levels, we found that 39.5% of data engineers have master's degrees. Even though most data engineers have a college degree, it's possible to become one with only a high school degree or GED.
Choosing the right major is always an important step when researching how to become a data engineer. When we researched the most common majors for a data engineer, we found that they most commonly earn bachelor's degree degrees or master's degree degrees. Other degrees that we often see on data engineer resumes include associate degree degrees or doctoral degree degrees.
You may find that experience in other jobs will help you become a data engineer. In fact, many data engineer jobs require experience in a role such as software engineer. Meanwhile, many data engineers also have previous career experience in roles such as hadoop developer or java developer.