Salary Directory Data Engineers

Data Engineer Salary

Data Engineer Job Description

Data engineers create data pipelines for organizational analysis. Candidates are responsible for extracting and transferring big data, then improving and presenting that information to data scientists and other team members within the organization. They solve problems with data integration, and must often work with unstructured data sets to make them easier to understand. They help develop and construct databases and large-scale data processing systems, and test and maintain these systems for proper functionality. Data engineers deal with data that may contain errors, is unformatted and may contain system-specific codes. A successful data engineer recommends and implements systems that improve the quality, efficiency and reliability of the data systems, and ensures that the architecture meets the needs of the organization. A qualified candidate will have a keen knowledge of industry standards, and experience working with SQL, Python, Hadoop and similar technologies. Data engineers must work closely with analytics and data experts to maximize the functionality of individual data systems, and improve information mining processes.

With a keen knowledge of the processes required for improving data quality, data engineers are key members of data analytics teams. IBM, in partnership with the Business-Higher Education Forum and Burning Glass Technologies, published a report predicting that the demand for data engineers will grow 39% by 2020, with 59% of the available jobs being in the IT, professional services, insurance and finance sectors. With their abilities to make big data more accessible and understandable, people in this field can expect a wealth of opportunities with both small and large organizations.

We expect Data Engineers to receive ivr_count Interview Requests on Hired.
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Based on real Hired interview data, Data Engineers in SF Bay Area earn an average annual salary of
Based on real Hired interview data, Data Engineers in SF Bay Area earn an average annual salary of
The salaries of candidates in this role range from a low of low_salary to a high of high_salary, with a median salary of median_salary.

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Compare Data Engineer salaries by region

Data Engineers are highest in demand in SF Bay Area, New York, and London. Browse and compare average salaries in locations where this role is also popular:

  1. SF Bay Area
  2. $150,203
  3. Los Angeles
  4. $145,294
  5. Seattle
  6. $139,820
  7. New York
  8. $138,172
  9. Boston
  10. $129,135
  11. Austin
  12. $126,367
  13. Washington D.C.
  14. $124,416
  15. Denver
  16. $119,553
  17. Chicago
  18. $116,870
  19. Dallas/Ft Worth
  20. $116,538
  21. San Diego
  22. $112,600
  23. Toronto
  24. C$100,211
  25. London
  26. £66,453
  27. France
  28. €53,134
  1. SF Bay Area
  2. $150,203
  3. Los Angeles
  4. $145,294
  5. Seattle
  6. $139,820
  7. New York
  8. $138,172
  9. Boston
  10. $129,135
  11. Austin
  12. $126,367
  13. Washington D.C.
  14. $124,416
  15. Denver
  16. $119,553
  17. Chicago
  18. $116,870
  19. Dallas/Ft Worth
  20. $116,538
  21. San Diego
  22. $112,600
  23. Toronto
  24. C$100,211
  25. London
  26. £66,453
  27. France
  28. €53,134
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Where Data Engineers are highest in demand

    Data Engineers are highest in demand in SF Bay Area, New York, and London. Browse and compare average salaries in locations where this role is also popular: