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.

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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: