Career spotlights
AWS Data Engineer
Career spotlights
AWS Data Engineer
Career spotlights
AWS Data Engineer
How much do Data Engineers make?
| Junior (0-3 yrs) | Mid-level (4-8 years) | Senior (9+ yrs) | Contract | |
|---|---|---|---|---|
| United States – End users ($) | 127,000 | 156,500 | 192,000 | 162 (p/h) |
| United States – Partners ($) | 121,750 | 175,750 | 203,250 | 167 (p/h) |
| United Kingdom (£) | 48,250 | 74,000 | 104,250 | 880 (p/d) |
| Germany (€) | 54,000 | 68,000 | 91,250 | 900 (p/d) |
| Switzerland (Fr) | 91,250 | 101,750 | 130,000 | - |
79%
84%
of Data Engineers are satisfied with their salary, up from 81% in our previous survey
41 hours
Permanent Data Engineers work an average of 41 hours per week
35 hours
Freelance Data Engineers work an average of 35 hours per week
How much do Data Engineers make?
| Junior (0-3 yrs) | Mid-level (4-8 years) | Senior (9+ yrs) | Contract | |
|---|---|---|---|---|
| United States – End users($) | 127,000 | 156,500 | 192,000 | 162 (p/h) |
| United States – Partners ($) | 121,750 | 175,750 | 203,250 | 167 (p/h) |
| United Kingdom (£) | 48,250 | 74,000 | 104,250 | 880 (p/d) |
| Germany (€) | 54,000 | 68,000 | 91,250 | 900 (p/d) |
| Switzerland (Fr) | 91,250 | 101,750 | 130,000 | - |
79%
of Data Engineers are satisfied with their job, up from 65% in our last survey
84%
of Data Engineers are satisfied with their salary, up from 81% in our previous survey
41 hours
Permanent Data Engineers work an average of 41 hours per week
35 hours
Freelance Data Engineers work an average of 35 hours per week
How much do Data
Engineers make?
| United States – End users: $127,000 |
| United States – Partners: $121,750 |
| United Kingdom: £48,250 |
| Germany: €54,000 |
| Switzerland: Fr91,250 |
| United States – End users: $156,500 |
| United States ($) – Partners: $175,750 |
| United Kingdom (£): £74,000 |
| Germany: €68,000 |
| Switzerland: Fr101,750 |
| United States – End users: $192,500 |
| United States – Partners: $203,250 |
| United Kingdom: £104,250 |
| Germany: €91,250 |
| Switzerland: Fr130,000 |
| United States – End users: $162 (p/h) |
| United States – Partners: $167 (p/h) |
| United Kindom: £880 (p/d) |
| Germany: €900 (p/d) |
| Switzerland: – |
| Junior (0-3 yrs) | Mid-level (4-8 years) | Senior (9+ yrs) | Contract | |
|---|---|---|---|---|
| United States ($) – End users | 0000 | 0000 | 0000 | 0000 |
| United States ($) – Partnerss | 0000 | 0000 | 0000 | 0000 |
| United Kingdom (£) | 0000 | 0000 | 0000 | 0000 |
| Germany (€) | 0000 | 0000 | 0000 | 0000 |
| Switzerland (SFr) | 0000 | 0000 | 0000 | 0000 |
79%
of Data Engineers are satisfied with their job, up from 65% in our last survey
84%
of Data Engineers are satisfied with their salary, up from 81% in our previous survey
41 hours
Permanent Data Engineers work an average of 41 hours per week
35 hours
Freelance Data Engineers work an average of 35 hours per week
What factors impact your earning potential as a Data Engineer?
| Important | Neutral | Unimportant | |
|---|---|---|---|
| Years of technical experience with AWS | 79% | 17% | 3% |
| Years of experience in IT | 76% | 21% | 3% |
| Exposure to large projects | 76% | 14% | 10% |
| Specific vertical industry experience | 69% | 10% | 21% |
| AWS certifications | 59% | 31% | 10% |
| Years of experience working for an end user | 50% | 43% | 7% |
| College/University degree(s) | 48% | 28% | 24% |
| Years of experience working for a partner organization | 45% | 38% | 17% |
What factors impact your earning potential as a Data Engineer?
| Important | Neutral | Unimportant | |
|---|---|---|---|
| Years of technical experience with AWS | 79% | 17% | 3% |
| Years of experience in IT | 76% | 21% | 3% |
| Exposure to large projects | 76%0 | 14% | 10% |
| Specific vertical industry experience | 69% | 10% | 21% |
| AWS certifications | 59% | 31% | 10% |
| Years of experience working for an end user | 50% | 43% | 7% |
| College/University degree(s) | 48% | 28% | 24% |
| Years of experience working for a partner organization | 45% | 38% | 17% |
What factors impact your earning potential as a Data Engineer?
| % | |
|---|---|
| Years of technical experience with AWS | 79% |
| Years of experience in IT | 76% |
| Exposure to large projects | 76% |
| Specific vertical industry experience | 69% |
| AWS certifications | 59% |
| Years of experience working for an end user | 50% |
| College/University degree(s) | 48% |
| Years of experience working for a partner organization | 45% |
| % | |
|---|---|
| Years of technical experience with AWS | 17% |
| Years of experience in IT | 21% |
| Exposure to large projects | 14% |
| Specific vertical industry experience | 10% |
| AWS certifications | 31% |
| Years of experience working for an end user | 43% |
| College/University degree(s) | 28% |
| Years of experience working for a partner organization | 38% |
| % | |
|---|---|
| Years of technical experience with AWS | 3% |
| Years of experience in IT | 3% |
| Exposure to large projects | 10% |
| Specific vertical industry experience | 21% |
| AWS certifications | 10% |
| Years of experience working for an end user | 7% |
| College/University degree(s) | 24% |
| Years of experience working for a partner organization | 17% |
What steps should you take to become a Data Engineer?
Education
What AWS certifications do Data Engineers hold?
| Answer | % |
|---|---|
| AWS Certified Solutions Architect - Associate | 44% |
| AWS Certified Data Analytics - Specialty | 38% |
| AWS Certified Cloud Practitioner - Foundational | 38% |
| AWS Certified DevOps Engineer - Professional | 25% |
| AWS Certified Developer - Associate | 19% |
Certification
Earning an AWS certification is not only a super-effective way of upskilling, but it also helps you get ahead of your competition on the job market by validating your skills in the eyes of 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. In comparison, 88% believe that certifications help candidates stand out in a competitive job market.
The most relevant vendor-accredited certification a Data Engineer can earn to boost their curb appeal is the AWS Certified Data Analytics – Specialty badge. This Specialty-level certificate isn’t directly aligned with a specific job role, but instead helps you develop a distinct expertise around skill sets relevant to a wide range of data roles.
Before obtaining this AWS certification, it’s recommended that you have around two years of practical experience working with AWS services and analytical solutions. The AWS Certified Data Analytics – Specialty focuses on the use of AWS data lakes and other analytical services to get insights from data, meaning candidates should be confident in designing, building, securing, and maintaining analytics solutions on AWS.
What steps should you take to become a
Data Engineer?
Education
Certification
Earning an AWS certification is not only a super-effective way of upskilling, but it also helps you get ahead of your competition on the job market by validating your skills in the eyes of 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. In comparison, 88% believe that certifications help candidates stand out in a competitive job market.
The most relevant vendor-accredited certification a Data Engineer can earn to boost their curb appeal is the AWS Certified Data Analytics – Specialty badge. This Specialty-level certificate isn’t directly aligned with a specific job role, but instead helps you develop a distinct expertise around skill sets relevant to a wide range of data roles.
Before obtaining this AWS certification, it’s recommended that you have around two years of practical experience working with AWS services and analytical solutions. The AWS Certified Data Analytics – Specialty focuses on the use of AWS data lakes and other analytical services to get insights from data, meaning candidates should be confident in designing, building, securing, and maintaining analytics solutions on AWS.
What AWS certifications do Data Engineers hold?
| Answer | % |
|---|---|
| AWS Certified Solutions Architect - Associate | 44% |
| AWS Certified Data Analytics - Specialty | 38% |
| AWS Certified Cloud Practitioner - Foundational | 38% |
| AWS Certified DevOps Engineer - Professional | 25% |
| AWS Certified Developer - Associate | 19% |
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
Earning an AWS certification is not only a super-effective way of upskilling, but it also helps you get ahead of your competition on the job market by validating your skills in the eyes of 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. In comparison, 88% believe that certifications help candidates stand out in a competitive job market.
The most relevant vendor-accredited certification a Data Engineer can earn to boost their curb appeal is the AWS Certified Data Analytics – Specialty badge. This Specialty-level certificate isn’t directly aligned with a specific job role, but instead helps you develop a distinct expertise around skill sets relevant to a wide range of data roles.
Before obtaining this AWS certification, it’s recommended that you have around two years of practical experience working with AWS services and analytical solutions. The AWS Certified Data Analytics – Specialty focuses on the use of AWS data lakes and other analytical services to get insights from data, meaning candidates should be confident in designing, building, securing, and maintaining analytics solutions on AWS.
What AWS certifications do Data Engineers hold?
| Answer | % |
|---|---|
| AWS Certified Solutions Architect - Associate | 44% |
| AWS Certified Data Analytics - Specialty | 38% |
| AWS Certified Cloud Practitioner - Foundational | 38% |
| AWS Certified DevOps Engineer - Professional | 25% |
| AWS Certified Developer - Associate | 19% |
Roles that can lead on to becoming a Data Engineer
Data Engineers can come from a wide range of IT backgrounds, and the good news is that there isn’t a predetermined route that professionals must take—you just need to enjoy data!
Some of the most common roles that we see candidates starting their career in include:
- Junior Data Engineer
- Data Analyst
- Software Engineer
- Web developers
What skills and experience should
Data Engineers have?
- Confidence using data and analytics services on AWS in collaboration with third party tools
- Ability to construct data models to gather information from multiple sources
- Understanding of performance optimization through enhanced database design
- Competent in utilizing backup and recovery mechanisms to maintain data integrity
- Proficiency in designing and developing large-scale enterprise data solutions and applications
- Ability to re-architect on-premise data warehouses and migrate to AWS
- Familiarity with Java, Python, and Scala
- Confidence building data pipelines and handling large datasets
- Ability to utilize data insights to inform business deicisons
- Knowledge of AWS security groups and how to implement them
Roles that can lead on to becoming a Data Engineer
Data Engineers can come from a wide range of IT backgrounds, and the good news is that there isn’t a predetermined route that professionals must take—you just need to enjoy data!
Some of the most common roles that we see candidates starting their career in include:
- Junior Data Engineer
- Data Analyst
- Software Engineer
- Web developers
What skills and experience should
Data Engineers have?
- Confidence using data and analytics services on AWS in collaboration with third party tools
- Ability to construct data models to gather information from multiple sources
- Understanding of performance optimization through enhanced database design
- Competent in utilizing backup and recovery mechanisms to maintain data integrity
- Proficiency in designing and developing large-scale enterprise data solutions and applications
- Ability to re-architect on-premise data warehouses and migrate to AWS
- Familiarity with Java, Python, and Scala
- Confidence building data pipelines and handling large datasets
- Ability to utilize data insights to inform business deicisons
- Knowledge of AWS security groups and how to implement them
Roles that can lead on to becoming a Data Engineer
Data Engineers can come from a wide range of IT backgrounds, and the good news is that there isn’t a predetermined route that professionals must take—you just need to enjoy data!
Some of the most common roles that we see candidates starting their career in include:
- Junior Data Engineer
- Data Analyst
- Software Engineer
- Web developers
What skills and experience should Data Engineers have?
- Confidence using data and analytics services on AWS in collaboration with third party tools
- Ability to construct data models to gather information from multiple sources
- Understanding of performance optimization through enhanced database design
- Competent in utilizing backup and recovery mechanisms to maintain data integrity
- Proficiency in designing and developing large-scale enterprise data solutions and applications
- Ability to re-architect on-premise data warehouses and migrate to AWS
- Familiarity with Java, Python, and Scala
- Confidence building data pipelines and handling large datasets
- Ability to utilize data insights to inform business deicisons
- Knowledge of AWS security groups and how to implement them
What are the opportunities for progression?
What are the opportunities for progression?
What are the opportunities for progression?
Our key findings report contains highlights from this year’s Careers and Hiring Guide, plus our salary tables allow you to compare your salary or benchmark your teams’ salaries no matter their role in the AWS ecosystem.
Our key findings report contains highlights from this year’s Careers and Hiring Guide, plus our salary tables allow you to compare your salary or benchmark your teams’ salaries no matter their role in the AWS ecosystem.
Our key findings report contains highlights from this year’s Careers and Hiring Guide, plus our salary tables allow you to compare your salary or benchmark your teams’ salaries no matter their role in the AWS ecosystem.
