Data Engineer Salary in Los Angeles

Data Engineer Job Description

Data engineers are responsible for the extraction and transfer of big data. They create pipelines for big data within organizations, then improve and present it to scientists and team members for improved understanding. They are responsible for creating and building large-scale data processing systems and databases. Once deployed, these engineers maintain and test the systems for proper functioning.

Data engineers work with data that is unformatted, and that may contain errors and system-specific code. They use Python, Hadoop, SQL and other similar technologies. They are responsible for implementing systems that improve the reliability, efficiency and quality of the data systems, and ensure that they meet the needs of the organization's data extraction needs. Data engineers work closely with data experts and analytics to improve information mining and maximize individual data systems.

Living and Working in Los Angeles

Los Angeles has become one of the world's fastest growing locations for the tech startups, and the 100 largest companies in the city continue to grow and thrive. Five of the largest tech startups, ServiceTitan, Age of Learning, Scopely, SpaceX and Hyperloop One, added more than 1,300 employees in 2016, and continue to provide opportunities in the area.

Popular neighborhoods in Los Angeles range from historical areas like Bungalow Heaven to the picturesque suburb of Glendale. Those looking for true city living will appreciate the trendiness of Silver Lake, while Central LA offers densely populated areas. Consider the Torrance and South Bay areas for ocean views and plenty of jogging and biking trails.

Find Data Engineer jobs on Hired.
We don't have enough data for Los Angeles,
so we've calculated your salary information for the San Francisco Bay Area instead:
Based on real Hired interview data, Data Engineers in Los Angeles earn an average annual salary of
Based on real Hired interview data, Data Engineers in SF Bay Area earn an average annual salary of
$162,071
The salaries of candidates in this role range from a low of $120,000 to a high of $180,000, 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. $186,594
  3. Seattle
  4. $172,061
  5. Phoenix
  6. $169,886
  7. New York
  8. $165,913
  9. Los Angeles
  10. $164,829
  11. Austin
  12. $161,536
  13. Boston
  14. $160,164
  15. San Diego
  16. $155,052
  17. Washington D.C.
  18. $153,392
  19. Dallas/Ft Worth
  20. $148,303
  21. Denver
  22. $147,499
  23. Philadelphia
  24. $146,436
  25. Atlanta
  26. $146,334
  27. Houston
  28. $144,757
  29. Tampa
  30. $143,521
  31. Toronto
  32. C$143,000
  33. Chicago
  34. $142,271
  35. Columbus
  36. $136,968
  37. Minneapolis/St Paul
  38. $136,833
  39. Dublin
  40. €92,801
  41. London
  42. £90,222
  43. France
  44. €63,043
  1. SF Bay Area
  2. $186,594
  3. Seattle
  4. $172,061
  5. Phoenix
  6. $169,886
  7. New York
  8. $165,913
  9. Los Angeles
  10. $164,829
  11. Austin
  12. $161,536
  13. Boston
  14. $160,164
  15. San Diego
  16. $155,052
  17. Washington D.C.
  18. $153,392
  19. Dallas/Ft Worth
  20. $148,303
  21. Denver
  22. $147,499
  23. Philadelphia
  24. $146,436
  25. Atlanta
  26. $146,334
  27. Houston
  28. $144,757
  29. Tampa
  30. $143,521
  31. Toronto
  32. C$143,000
  33. Chicago
  34. $142,271
  35. Columbus
  36. $136,968
  37. Minneapolis/St Paul
  38. $136,833
  39. Dublin
  40. €92,801
  41. London
  42. £90,222
  43. France
  44. €63,043
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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: