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.

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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. $184,115
  3. Minneapolis/St Paul
  4. $180,000
  5. Seattle
  6. $171,509
  7. Los Angeles
  8. $170,087
  9. New York
  10. $169,813
  11. Boston
  12. $160,294
  13. Phoenix
  14. $156,454
  15. Washington D.C.
  16. $155,062
  17. Tampa
  18. $152,800
  19. Chicago
  20. $150,669
  21. Philadelphia
  22. $149,713
  23. Austin
  24. $148,236
  25. Denver
  26. $147,466
  27. Dallas/Ft Worth
  28. $146,251
  29. Houston
  30. $138,267
  31. Columbus
  32. $136,021
  33. Toronto
  34. C$133,036
  35. Atlanta
  36. $132,702
  37. San Diego
  38. $127,250
  39. London
  40. £90,110
  41. Dublin
  42. €80,000
  43. France
  44. €65,000
  1. SF Bay Area
  2. $184,115
  3. Minneapolis/St Paul
  4. $180,000
  5. Seattle
  6. $171,509
  7. Los Angeles
  8. $170,087
  9. New York
  10. $169,813
  11. Boston
  12. $160,294
  13. Phoenix
  14. $156,454
  15. Washington D.C.
  16. $155,062
  17. Tampa
  18. $152,800
  19. Chicago
  20. $150,669
  21. Philadelphia
  22. $149,713
  23. Austin
  24. $148,236
  25. Denver
  26. $147,466
  27. Dallas/Ft Worth
  28. $146,251
  29. Houston
  30. $138,267
  31. Columbus
  32. $136,021
  33. Toronto
  34. C$133,036
  35. Atlanta
  36. $132,702
  37. San Diego
  38. $127,250
  39. London
  40. £90,110
  41. Dublin
  42. €80,000
  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: