A career as a Big Data Engineer requires education and work experience, with many professionals opting to get certified. Discover what big data engineers do, what the job opportunities are, and how to get started.
If you’re interested in any of the following topics, working as a big data engineer could be a good career choice: data, math, analytics, problem-solving, numbers, graphs, charts, and IT.
This article will break down all the critical aspects of being a big data engineer. After reading it, you should have a much better idea of whether or not this career is right for you.
A big data engineer is a professional who is responsible for developing, maintaining, testing, analyzing, and evaluating a company's data. Big data refers to extremely large data sets. In the modern economy, it is common for companies to collect large volumes of data throughout the course of conducting their business operations.
When used correctly, big data can be highly beneficial for organizations to help them improve efficiency, profitability, and scalability. However, companies' big data is not helpful unless there is a big data engineer to build systems to collect, maintain, and extract data. So, big data engineers ultimately have the responsibility of helping companies manage their big data.
All of the following are typical job responsibilities for big data engineers:
Designing and implementing software systems
Creating systems for collecting data and for processing that data
Using Extract Transform Load operations (the ETL process)
Creating data architectures that meet the requirements of the business
Researching new methods of obtaining valuable data and improving its quality
Creating structured data solutions using various programming languages and tools
Mining data from multiple areas to construct efficient business models
Collaborating with data analysts, data scientists, and other teams
The most significant difference between big data engineers and data scientists is that big data engineers are primarily responsible for building and maintaining the systems and processes that collect and extract data. Data scientists analyze the cleaned data to generate insights, using various predictive models to create meaningful insights.
Read more: What Is a Data Scientist? Salary, Skills, and How to Become One
It is common for big data engineers to possess all of the following skills:
Computer programming with languages like C++, Java, and Python
Databases and SQL
ETL and data warehousing
Talend, IBM DataStage, Pentaho, and Informatica
Operating system knowledge for Unix, Linux, Windows, and Solaris
Data mining and modeling
The Bureau of Labor Statistics (BLS) places the job title big data engineer in the categories of statisticians and computer and information research scientists. Here is the job outlook for each of these two categories:
Statistician: Projected job growth of 33 percent between 2020 to 2030 .
Computer and information research scientist: Projected job growth of 22 percent between 2020 and 2030 .
According to the BLS projections, the job of a big data engineer is likely to increase in demand significantly in the next four-to-five years, making this career a good career path to pursue.
There are several steps that most people complete on their journey to becoming a big data engineer.
If you want to become a big data engineer, you will have to master all the technical skills mentioned above, which translates into a lot of education. Many people who become big data engineers have bachelor’s and master’s degrees in a related field such as computer science, statistics, or business data analytics.
Big data engineers need to be masters of coding, statistics, and data. Most companies require a bachelor’s degree for big data engineer positions.
Read more: How Long Does It Take to Get a Bachelor’s Degree?
Experience is a valuable asset for obtaining a job as a big data engineer. You can gain experience by freelancing, interning, practicing independently, or working in related positions. The more experience you get, the better your chances of obtaining a big data engineer position.
Obtaining Professional Certificates can also be highly beneficial for securing employment as a big data engineer. Each of the following certificates can be helpful for people who are trying to become big data engineers:
Cloudera Certified Professional (CCP) Data Engineer
Certified Big Data Professional (CBDP)
Google Cloud Certified Professional Data Engineer
According to ZipRecruiter, the average salary of a big data engineer in 2021 is $130,674 . Highly experienced big data engineers in the latter stages of their careers can make significantly more than that. However, those just entering the field who do not have a high level of experience can expect to make less.
If you have a passion for computer science, data, numbers, and programming, then a career as a big data engineer could be the perfect choice for you. To enter this profession, you will have to work hard to obtain all the skills and credentials that employers will likely require.
On Coursera, you can earn a Big Data MasterTrack® Certificate through Arizona State University, or you can check out some of the big data engineer courses on Coursera. Coursera has a selection of several different online courses that can be very helpful in pursuing a big data engineer career path.
What Is a Data Scientist? Salary, Skills, and How to Become One
1. US Bureau of Labor Statistics. “Mathematicians and Statisticians: Occupational Outlook Handbook, https://www.bls.gov/ooh/math/mathematicians-and-statisticians.htm." Accessed April 1, 2022.
2. US Bureau of Labor Statistics. “Computer and Information Research Scientists: Occupational Outlook Handbook, https://www.bls.gov/ooh/computer-and-information-technology/computer-and-information-research-scientists.htm." Accessed April 1, 2022.
3. Zip Recruiter. “Big Data Engineer Salary, https://www.ziprecruiter.com/Salaries/BIG-DATA-Engineer-Salary." Accessed April 1, 2022.
This content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.