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It’s no secret that big data is the future—in fact, it is already very much integrated and needed in many of the products, services, and systems in our society today. That means there is huge potential to make big bucks as a big data engineer.
Typically, a big data engineer is not an entry-level position, so it’s a good idea to get your feet wet in other data professions before pursuing a big data engineer role.
In 2020, the Dice Tech Job Report stated data engineering to be the fastest growing job in technology with a predicted 50 percent year-over-year growth in the number of open positions. . This guide offers a look at big data engineer salaries and job market expectations.
What is big data engineering?
Big data engineers are professionals who are responsible for developing, maintaining, testing, analyzing, and evaluating a company’s data. “Big data” refers to the sweeping amount of data sets that companies collect in everyday business operations. A big data engineer interacts with data processing systems and databases to extract the data and transform it into workable sets that can ultimately be used to improve an organization’s efficiency, profitability, and scalability.
How much do big data engineers make?
The average salary for big data engineers in the US is $109,650, according to Glassdoor . However, salaries can be affected by a range of factors including location, industry, and experience. Below are additional salary estimates from popular job boards.
Big data engineer salaries by location
Where you live (or where your company is based) can impact how much you can make as a big data engineer. Typically, working from bigger cities like New York and San Francisco means a higher salary, to accommodate higher costs of living. But as companies continue to shift toward a more remote workforce, some of them may offer location-based salaries, while others remain commensurate with experience levels.
Here’s a sampling of big data engineer salaries in large- and medium-sized cities across the United States:
|City||Average base salary (Glassdoor)|
|San Francisco, CA||$113,142|
|New York, NY||$106,985|
|Los Angeles, CA||$104,664|
|Des Moines, IA||$97,006|
And salaries in some popular tech markets:
|Country||Salary (Glassdoor)||Salary in USD (April 2022)|
Remote work vs. digital nomad
Salaries may also differ depending on your nationality and the country you choose to work from. While digital nomadism is on the rise, many tech companies in the US still do not allow employees to work permanently from another country.
It may be attractive to work in Portugal, Thailand, or Costa Rica, but you may need to be comfortable taking a pay cut if you are employed by a company based in any of these countries.
Big data engineer salaries by industry
Nearly every industry today uses big data, so there is a huge demand for big data engineers to harness that data to drive decision making. But not every industry pays the same. Knowing which ones pay more can be beneficial for your career.
Tech companies are popular to work for because they tend to pay well. Meta, for example, ranges $102,121 to $206,158 for big data engineer salaries, while Google pays between $110,984 to $208,747.
You can find big data engineering roles in many high-earning industries. Finance and insurance; professional, scientific and technical services; information technology; management; and manufacturing make up over 75 percent of data job openings, according to The Quant Crunch, an IBM report on the demand for data science skills.
Big data engineer salaries by experience
One of the factors that can influence your salary is your experience level. Generally, the more years of experience you gain as a big data engineer, the more you’ll earn. Here’s how experience can impact your salary, according to Glassdoor.
- 2-4 years, Data Engineer: $114,196
- 5-7 years, Lead Data Engineer: $149,520
- 8+ years, Principal Data Engineer: $167,083
- 8+ years, Director of Data Engineering: $201,657
- 8+ years, Vice President (VP) of Data Engineering: $202,595
In each of the roles above, “Senior” can be tacked onto the front of the job title and usually indicates a higher salary, typically of a few thousand extra dollars.
Many big data engineers start off in other entry-level positions, such as software engineers, business analysts, or data analysts.
As you advance in your career, you might move into managerial positions or become a big data engineer, and then progress as you gain experience.
Salaries for other big data and engineering professionals
Before and after you step into a role as big data engineer, there are plenty of opportunities to work in big data and engineering. Here are a few of their expected salaries, according to Glassdoor.
- Data analyst: $62,364
- Business intelligence analyst: $72,224
- Business analyst: $77,682
- Database administrator: $82,838
- Data engineer: $92.179
- Software engineer: $101,910
- Data scientist: $104,537
- Machine learning engineer: $107,566
- Data architect: $129,183
Job outlook for big data engineers
Big data is being used across all industries, including manufacturing, government, and agriculture, to inform business decisions. The Bureau of Labor Statistics (BLS) places big data engineer under statisticians and computer and information research scientists, which have projected job growth of 33 percent and 22 percent respectively between 2020 and 2030.
Additionally, more than 80 percent of companies surveyed in the World Economic Forum’s Future of Jobs 2020 report said they’d be using big data by 2025. In the same report, data engineer is ranked third for jobs with increasing demand across industries.
Dive into big data engineering with Coursera
Get started on a potentially lucrative and fulfilling career in big data engineering. Take a look at IBM’s Data Engineering professional certificate to master job-ready skills like SQL, ETL, Big Data, and Spark, all at your own pace.
This is a Glance Review of the Big Data Engineer Salary [Updated for 2023]
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