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.

Find Data Engineer jobs on Hired.
We don't have enough data for New York,
so we've calculated your salary information for the San Francisco Bay Area instead:
Based on real Hired interview data, Data Engineers in New York earn an average annual salary of
Based on real Hired interview data, Data Engineers in SF Bay Area earn an average annual salary of
$152,770
The salaries of candidates in this role range from a low of $60,000 to a high of $250,000, with a median salary of $150,000.

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Compare Data Engineer salaries by region

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

  1. SF Bay Area
  2. $175,278
  3. Seattle
  4. $165,493
  5. New York
  6. $161,025
  7. Los Angeles
  8. $158,072
  9. Austin
  10. $155,060
  11. Boston
  12. $152,165
  13. Minneapolis/St Paul
  14. $147,498
  15. Washington D.C.
  16. $146,761
  17. Atlanta
  18. $145,390
  19. San Diego
  20. $145,217
  21. Denver
  22. $142,727
  23. Dallas/Ft Worth
  24. $141,672
  25. Chicago
  26. $137,798
  27. Philadelphia
  28. $131,386
  29. Toronto
  30. C$131,271
  31. France
  32. €104,500
  33. Dublin
  34. €99,612
  35. London
  36. £81,984
  1. SF Bay Area
  2. $175,278
  3. Seattle
  4. $165,493
  5. New York
  6. $161,025
  7. Los Angeles
  8. $158,072
  9. Austin
  10. $155,060
  11. Boston
  12. $152,165
  13. Minneapolis/St Paul
  14. $147,498
  15. Washington D.C.
  16. $146,761
  17. Atlanta
  18. $145,390
  19. San Diego
  20. $145,217
  21. Denver
  22. $142,727
  23. Dallas/Ft Worth
  24. $141,672
  25. Chicago
  26. $137,798
  27. Philadelphia
  28. $131,386
  29. Toronto
  30. C$131,271
  31. France
  32. €104,500
  33. Dublin
  34. €99,612
  35. London
  36. £81,984
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Where Data Engineers are highest in demand

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