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 Washington D.C.,
so we've calculated your salary information for the San Francisco Bay Area instead:
Based on real Hired interview data, Data Engineers in Washington D.C. earn an average annual salary of
Based on real Hired interview data, Data Engineers in SF Bay Area earn an average annual salary of
$147,478
The salaries of candidates in this role range from a low of $100,000 to a high of $190,000, 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. $185,357
  3. Minneapolis/St Paul
  4. $180,000
  5. Phoenix
  6. $178,296
  7. Seattle
  8. $172,093
  9. Los Angeles
  10. $170,264
  11. New York
  12. $169,696
  13. Boston
  14. $160,477
  15. Washington D.C.
  16. $155,566
  17. Denver
  18. $152,999
  19. Austin
  20. $152,225
  21. San Diego
  22. $149,500
  23. Philadelphia
  24. $147,178
  25. Dallas/Ft Worth
  26. $145,693
  27. Tampa
  28. $145,333
  29. Chicago
  30. $143,508
  31. Atlanta
  32. $137,717
  33. Columbus
  34. $134,842
  35. Houston
  36. $133,534
  37. Toronto
  38. C$132,883
  39. London
  40. £92,155
  41. Dublin
  42. €87,500
  43. France
  44. €65,000
  1. SF Bay Area
  2. $185,357
  3. Minneapolis/St Paul
  4. $180,000
  5. Phoenix
  6. $178,296
  7. Seattle
  8. $172,093
  9. Los Angeles
  10. $170,264
  11. New York
  12. $169,696
  13. Boston
  14. $160,477
  15. Washington D.C.
  16. $155,566
  17. Denver
  18. $152,999
  19. Austin
  20. $152,225
  21. San Diego
  22. $149,500
  23. Philadelphia
  24. $147,178
  25. Dallas/Ft Worth
  26. $145,693
  27. Tampa
  28. $145,333
  29. Chicago
  30. $143,508
  31. Atlanta
  32. $137,717
  33. Columbus
  34. $134,842
  35. Houston
  36. $133,534
  37. Toronto
  38. C$132,883
  39. London
  40. £92,155
  41. Dublin
  42. €87,500
  43. France
  44. €65,000
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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: