Career spotlights

AWS Data Engineer

How much do Data Engineers make?

Header
United States ($)
United Kingdom (£)
Germany (€)
Lower quartile
120,000
52,500
56,750
Header
United States ($)
United Kingdom (£)
Germany (€)
Median
160,000
77,500
80,000
Header
United States ($)
United Kingdom (£)
Germany (€)
Upper quartile
201,000
102,500
100,000
Header
United States ($)
United Kingdom (£)
Germany (€)
Contract
162 (p/h)
770 (p/d)
962 (p/d)

* Survey responses in the remainder of this chapter are indicative only due to a limited number of Data Engineers participating in the survey.

0 %

of Data Engineers are satisfied with their job, up from 65% in our last survey

0 %

of Data Engineers are satisfied with their salary, up from 81% in our previous survey

0

Hours

Permanent Data Engineers work an average of 41 hours per week

0

Hours

Freelance Data Engineers work an average of 35 hours per week

What factors impact your earning potential as a Data Engineer?

We asked current AWS professionals what factors were most important in upping your earning potential in that role.
Important Neutral Unimportant
Years of experience in IT 100% 0% 0%
Years of technical experience with AWS 92% 8% 0%
Exposure to large projects 92% 8% 0%
Specific vertical industry experience 75% 25% 0%
College/University degree(s) 75% 17% 8%
Working with AI 75% 25% 0%
AWS certifications 67% 8% 25%
Years of experience in IT 100%
Years of technical experience with AWS 92%
Exposure to large projects 92%
Specific vertical industry experience 75%
College/University degree(s) 75%
Working with AI 75%
AWS certifications 67%
Years of experience in IT 0%
Years of technical experience with AWS 8%
Exposure to large projects 8%
Specific vertical industry experience 25%
College/University degree(s) 17%
Working with AI 25%
AWS certifications 8%
Years of experience in IT 0%
Years of technical experience with AWS 0%
Exposure to large projects 0%
Specific vertical industry experience 0%
College/University degree(s) 8%
Working with AI 0%
AWS certifications 25%

What steps should you take to become a Data Engineer?

Education

In terms of what you might need, 84% of Data Engineers hold at least a Bachelor’s degree. While 48% consider a degree to be an important factor in increasing earning potential, only 36% think that a degree is essential to work with AWS.

Certification

Obtaining an AWS certification is not only an effective way to enhance your skills, but it also gives you a competitive edge in the job market by validating your expertise to potential employers. 

Over half (55%, up from 33% in our last survey) of Data Engineers are certified, and 50% of those have undergone recertification to maintain their AWS Certified Status. While 88% of certified respondents believe that certifications help candidates stand out in a competitive job market. 

The most relevant vendor-accredited certification for a Data Engineer looking to enhance their appeal is the AWS Certified Data Engineer – Associate badge, which covers Data Ingestion and Transformation, Data Store Management, Data Operations and Support, and Data Security and Governance.  

The cert replaces the AWS Certified Data Analytics – Specialty exam, so if you have that already then this new course isn’t essential, but if you have neither then you’d be advised to add it to your to-do list.   

Roles that can lead on to becoming a Data Engineer

Data Engineers can originate from a wide variety of IT backgrounds, and the great news is that there’s no set path that professionals must follow—you just need to have a passion for data!

Some of the most common entry-level roles we see candidates starting in include: 

What skills and experience should Data Engineers have?

What are the opportunities for progression?

Data Engineer

Senior Data/ML Engineer

Lead Data Engineer

Head Of Data Engineering

Chief Data Officer

Are you looking to hire an AWS professional?

Careers and Hiring Guide

AWS Edition 2025

Key Findings

Our key findings report contains highlights from this year’s Careers and Hiring Guide, plus our salary tables to allow you to compare your compensation or benchmark your teams’ salaries or rates no matter their role in the AWS ecosystem.

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