0 selections
0 selections

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 $51.47 an hour? That's $107,063 a year!

Between 2018 and 2028, the career is expected to grow 21% and produce 284,100 job opportunities across the U.S.

What Does a Data Engineer Do

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.

Learn more about what a Data Engineer does

How To Become a Data Engineer

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 65.0% of data engineers have a bachelor's degree. In terms of higher education levels, we found that 22.3% 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.

Data Engineer Career Paths

Average Salary for a Data Engineer

Data Engineers in America make an average salary of $107,063 per year or $51 per hour. The top 10 percent makes over $141,000 per year, while the bottom 10 percent under $80,000 per year.
Average Data Engineer Salary
$107,063 Yearly
$51.47 hourly
$80,000
10 %
$107,000
Median
$141,000
90 %

What Am I Worth?

0 selections
0 selections
salary-calculator

Data Engineer Education

Data Engineer Majors

Data Engineer Degrees

Bachelors

65.0 %

Masters

22.3 %

Associate

7.4 %

Top Colleges for Data Engineers

1. California State University - Long Beach

Long Beach, CA • Private

In-State Tuition
$6,798
Enrollment
31,503

2. Massachusetts Institute of Technology

Cambridge, MA • Private

In-State Tuition
$51,832
Enrollment
4,550

3. Stanford University

Stanford, CA • Private

In-State Tuition
$51,354
Enrollment
7,083

4. Purdue University

West Lafayette, IN • Private

In-State Tuition
$9,992
Enrollment
33,495

5. Harvard University

Cambridge, MA • Private

In-State Tuition
$50,420
Enrollment
7,582

6. Duke University

Durham, NC • Private

In-State Tuition
$55,695
Enrollment
6,596

7. California State Polytechnic University, Pomona

Pomona, CA • Private

In-State Tuition
$7,353
Enrollment
24,841

8. University of Pennsylvania

Philadelphia, PA • Private

In-State Tuition
$55,584
Enrollment
10,764

9. Minnesota State University - Mankato

Mankato, MN • Private

In-State Tuition
$8,184
Enrollment
11,675

10. Western Carolina University

Cullowhee, NC • Private

In-State Tuition
$3,926
Enrollment
9,835

Top Skills For a Data Engineer

The skills section on your resume can be almost as important as the experience section, so you want it to be an accurate portrayal of what you can do. Luckily, we've found all of the skills you'll need so even if you don't have these skills yet, you know what you need to work on. Out of all the resumes we looked through, 12.7% of data engineers listed python on their resume, but soft skills such as creativity and problem-solving skills are important as well.

Choose From 10+ Customizable Data Engineer Resume templates

Zippia allows you to choose from different easy-to-use Data Engineer templates, and provides you with expert advice. Using the templates, you can rest assured that the structure and format of your Data Engineer resume is top notch. Choose a template with the colors, fonts & text sizes that are appropriate for your industry.

Data Engineer Resume
Data Engineer Resume
Data Engineer Resume
Data Engineer Resume
Data Engineer Resume
Data Engineer Resume
Data Engineer Resume
Data Engineer Resume
Data Engineer Resume
Data Engineer Resume
Data Engineer Resume
Data Engineer Resume
Data Engineer Resume
Data Engineer Resume
Data Engineer Resume
Data Engineer Resume

Data Engineer Demographics

Data Engineer Gender Distribution

Male
Male
82%
Female
Female
19%

After extensive research and analysis, Zippia's data science team found that:

  • Among data engineers, 18.5% of them are women, while 81.5% are men.

  • The most common race/ethnicity among data engineers is White, which makes up 56.5% of all data engineers.

  • The most common foreign language among data engineers is Spanish at 24.6%.

Online Courses For Data Engineer That You May Like

Advertising Disclosure  The courses listed below are affiliate links. This means if you click on the link and purchase the course, we may receive a commission.
Hands-on HADOOP Masterclass - Tame the Big Data!
udemy
4.1
(438)

Big Data, Hadoop, MapReduce, HDFS, HIVE, PIG, Mahout, NoSQL, Oozie, Flume, Storm, Avro, Spark, Sqoop, Cloudera and more...

Data Engineering Essentials Hands-on - SQL, Python and Spark
udemy
4.3
(563)

Learn key Data Engineering Skills such as SQL, Python and Spark with tons of Hands-on tasks and exercises...

Complete SQL Bootcamp for Data Science, Analytics, Marketing
udemy
4.8
(1,504)

Master SQL for Job Interview Preparation, Data Analysis, Big Data, and Business Intelligence...

Show More Data Engineer Courses
Job type you want
Full Time
Part Time
Internship
Temporary

Best States For a Data Engineer

Some places are better than others when it comes to starting a career as a data engineer. The best states for people in this position are California, Washington, Oregon, and New York. Data engineers make the most in California with an average salary of $122,022. Whereas in Washington and Oregon, they would average $119,765 and $114,144, respectively. While data engineers would only make an average of $107,169 in New York, you would still make more there than in the rest of the country. We determined these as the best states based on job availability and pay. By finding the median salary, cost of living, and using the Bureau of Labor Statistics' Location Quotient, we narrowed down our list of states to these four.

1. Washington

Total Data Engineer Jobs:
5,265
Highest 10% Earn:
$159,000
Location Quotient:
2.19 Location Quotient is a measure used by the Bureau of Labor Statistics (BLS) to determine how concentrated a certain industry is in a single state compared to the nation as a whole. You can read more about how BLS calculates location quotients here

2. California

Total Data Engineer Jobs:
13,637
Highest 10% Earn:
$165,000
Location Quotient:
1.42 Location Quotient is a measure used by the Bureau of Labor Statistics (BLS) to determine how concentrated a certain industry is in a single state compared to the nation as a whole. You can read more about how BLS calculates location quotients here

3. Oregon

Total Data Engineer Jobs:
1,841
Highest 10% Earn:
$152,000
Location Quotient:
1.35 Location Quotient is a measure used by the Bureau of Labor Statistics (BLS) to determine how concentrated a certain industry is in a single state compared to the nation as a whole. You can read more about how BLS calculates location quotients here
Full List Of Best States For Data Engineers

How Do Data Engineer Rate Their Jobs?

Working as a Data Engineer? Share your experience anonymously.
Do you work as a Data Engineer?
Rate how you like work as Data Engineer. It's anonymous and will only take a minute.

Top Data Engineer Employers

We've made finding a great employer to work for easy by doing the hard work for you. We looked into employers that employ data engineers and discovered their number of data engineer opportunities and average salary. Through our research, we concluded that Amazon was the best, especially with an average salary of $130,021. Meta follows up with an average salary of $176,397, and then comes Walmart with an average of $139,645. In addition, we know most people would rather work from home. So instead of having to change careers, we identified the best employers for remote work as a data engineer. The employers include Amgen, Booz Allen Hamilton, and VMware

Most Common Employers For Data Engineer

Rank  Company  Average Salary  Hourly Rate  Job Openings  
1Meta$176,397$84.811,434
2PayPal$144,712$69.57108
3Apple$144,509$69.48131
4Walmart$139,645$67.14306
5Cisco$138,673$66.67115
6Nike$137,437$66.08126
7Amazon$130,021$62.512,655
8Aetna$124,141$59.68289
9Salesforce$121,153$58.25152
10Robert Half$117,028$56.26121

Data Engineer Videos

Becoming a Data Engineer FAQs

Data Architect vs. Data Engineer

A data architect is a tech professional who designs the vision and plan for a company's data framework, while a data engineer is tasked with implementing a data architect's vision.

A data architect is tasked with formulating the organizational data strategy. They also seek to define the data management standards and principles that a company uses. Data architects design data blueprints that other data colleagues adhere to and implement.

Data Engineer vs. Data Analyst

A data engineer is an IT professional who conceptualizes and builds platforms that gather, manage, and analyze data, while a data analyst scrutinizes numeric data and uses it to help companies make certain decisions.

Do data engineers code?

Yes, data engineers code. They are expected to be well-versed in several coding languages such as Python, Perl, and other common programming languages.

Because data engineers predominantly work with data concepts and some fashion of coding, many outside the industry often confuse them for software engineers. Both engineers can work with coding languages and data concepts, but data engineers tend to utilize coding to help analyze the data being presented.

Is data engineering a good job?

Yes, data engineering is a good job with growth potential. The data engineering industry offers convenience, higher average salaries, and scalable industry growth.

Due to the nature of a data engineer's job, many can work from remote locations such as a home office, satellite location, or a location designated by their client. Many can set schedules according to project deadlines and the needs of the rest of their team but can often find flexibility in their daily schedules if they need to.

Is it hard to become a data engineer?

Yes, it is hard to become a data engineer. Data engineers need to have a strong portfolio, relevant background experience, the ability to understand how data analysis and development work together.

What should I study to become a data engineer?

If you want to become a data engineer, study one or more of the following:

  • Computer science

  • Applied sciences

  • Applied mathematics

  • Computer or software engineering

What skills are required for a data engineer?

Data engineers are required to have the following skills and aptitudes:

  • Programming languages such as Python or Java

  • Computer science foundations

  • Analytics

  • Databases

  • Amazon Web Services (AWS) and other domain/web services

  • SQL and databases

  • Security and governance

  • Collaboration

  • Cloud services

  • Machine learning

  • Operating systems

  • DevOps

  • Creativity

  • Streaming

  • Containers

Data Engineer vs. Software Engineer

A data engineer is an IT professional who conceptualizes and builds platforms that gather, manage, and analyze data, while a software engineer is an IT professional that creates software applications for computers and mobile devices.

Data analyst vs. Data engineer

A data analyst analyzes numeric data and uses it to help companies make better decisions while a data engineer develops, constructs, and tests data.

A data analyst's primary skill set revolves around data acquisition, handling, and processing. A data analyst is more focused on pre-processing and data gathering as well as representing that data via reporting and visualization tools. It is important for a data analyst to have a deep understanding of data cleaning, data conversion, and data modeling.

Search For Data Engineer Jobs

0 selections
0 selections