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
$166,421
The salaries of candidates in this role range from a low of $80,000 to a high of $225,000, with a median salary of $175,000.

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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. $186,134
  3. Seattle
  4. $172,624
  5. New York
  6. $167,420
  7. Austin
  8. $162,527
  9. Los Angeles
  10. $162,168
  11. Boston
  12. $160,528
  13. Washington D.C.
  14. $154,600
  15. San Diego
  16. $153,576
  17. Phoenix
  18. $152,857
  19. Dallas/Ft Worth
  20. $149,363
  21. Minneapolis/St Paul
  22. $147,166
  23. Philadelphia
  24. $146,635
  25. Atlanta
  26. $146,450
  27. Tampa
  28. $146,032
  29. Denver
  30. $145,821
  31. Houston
  32. $145,754
  33. Toronto
  34. C$143,361
  35. Chicago
  36. $142,723
  37. Columbus
  38. $136,566
  39. London
  40. £89,769
  41. Dublin
  42. €89,419
  43. France
  44. €67,400
  1. SF Bay Area
  2. $186,134
  3. Seattle
  4. $172,624
  5. New York
  6. $167,420
  7. Austin
  8. $162,527
  9. Los Angeles
  10. $162,168
  11. Boston
  12. $160,528
  13. Washington D.C.
  14. $154,600
  15. San Diego
  16. $153,576
  17. Phoenix
  18. $152,857
  19. Dallas/Ft Worth
  20. $149,363
  21. Minneapolis/St Paul
  22. $147,166
  23. Philadelphia
  24. $146,635
  25. Atlanta
  26. $146,450
  27. Tampa
  28. $146,032
  29. Denver
  30. $145,821
  31. Houston
  32. $145,754
  33. Toronto
  34. C$143,361
  35. Chicago
  36. $142,723
  37. Columbus
  38. $136,566
  39. London
  40. £89,769
  41. Dublin
  42. €89,419
  43. France
  44. €67,400
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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: