If data fascinates you and you’re interested in a career path in the technology industry, a data engineer may be the perfect fit for you. A challenging and exciting position that will undoubtedly keep you on your toes, data engineering is a job of the future that isn’t going anywhere anytime soon. When it comes to becoming a data engineer, figuring out where to begin can be a little overwhelming. First, it helps to know a bit more about data engineering and what a day for a data engineer typically looks like.
Want to begin your career as a Data Engineer? Check out the Data Engineering Courses and get certified.
What is Data Engineering, and What Does a Data Engineer Do?
Data engineers are responsible for taking information and presenting it in a way that’s easy to understand and analyze. Experienced data engineers have mastered a variety of skills, such as system architecture, programming, and interface, and sensor configuration. Their daily tasks can change often and may include building data pipelines, deploying predictive models, cleaning data, and much more.
This is not to be confused with a data scientist; in fact, data engineers often work alongside data scientists, and they are now even more in-demand than data scientists. Infoworks reports that for every data scientist, at least two data engineers are also needed to complete a project or task adequately.
Data Engineer Salary
For many people, a lucrative salary if a key motivator when it comes to choosing a career path. With data engineers typically making six figures, it’s easy to see why it’s becoming more of a coveted role. Glassdoor reports that the average annual salary in the United States for data engineers is $116,591. This is just the average annual base pay and doesn’t include other company perks that may be offered, such as holiday bonuses and stock options. On the higher end of that scale, experienced data engineers with the right credentials typically make upward of $160,000.
Data Engineering Courses
One of the first steps toward becoming a data engineer is getting the right training. This is especially crucial if you don’t have any experience; those with on-the-job experience can still greatly benefit from formal training, as it can help them to sharpen their skills and become certified, which looks great on a resume.
At Simplilearn, we offer an array of data engineering courses that can help you fast-track your career. Whether you have some experience, starting from scratch, need to learn a little of everything, or want to focus on something specific, we’ve got you covered.
Our Data Science with Python Course teaches students how to use Python programming, along with basic and advanced data science skills. Alternatively, you can learn all about data science as well as SAS, and receive your SAS certification in our Data Science with R Certification Training. Students can also learn all about R programming along with data science in our Data Science Bootcamp that was co-developed with IBM. For more advanced training, enroll in our Data Scientist Master’s Program, another course that we also co-developed with IBM.
The Future of Data Engineering
For each exciting thing we hear about in the distant and not-so-distant future, there is a data engineer behind it. For example, self-driving cars are becoming less of a rarity and may soon be the norm, with more research and development focusing on this evolving technology. With this type of technology becoming more prevalent, the demand for data engineers will only continue to grow.
If you’re ready to be part of the technology that will make history, enroll in a Data Engineer program today!