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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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
The salaries of candidates in this role range from a low of low_salary to a high of high_salary, with a median salary of median_salary.

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Compare Data Engineer salaries by region

Data Engineers are highest in demand in SF Bay Area, New York, and London. Browse and compare average salaries in locations where this role is also popular:

  1. SF Bay Area
  2. $150,203
  3. Los Angeles
  4. $145,294
  5. Seattle
  6. $139,820
  7. New York
  8. $138,172
  9. Boston
  10. $129,135
  11. Austin
  12. $126,367
  13. Washington D.C.
  14. $124,416
  15. Denver
  16. $119,553
  17. Chicago
  18. $116,870
  19. Dallas/Ft Worth
  20. $116,538
  21. San Diego
  22. $112,600
  23. Toronto
  24. C$100,211
  25. London
  26. £66,453
  27. France
  28. €53,134
  1. SF Bay Area
  2. $150,203
  3. Los Angeles
  4. $145,294
  5. Seattle
  6. $139,820
  7. New York
  8. $138,172
  9. Boston
  10. $129,135
  11. Austin
  12. $126,367
  13. Washington D.C.
  14. $124,416
  15. Denver
  16. $119,553
  17. Chicago
  18. $116,870
  19. Dallas/Ft Worth
  20. $116,538
  21. San Diego
  22. $112,600
  23. Toronto
  24. C$100,211
  25. London
  26. £66,453
  27. France
  28. €53,134
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Where Data Engineers are highest in demand

    Data Engineers are highest in demand in SF Bay Area, New York, and London. Browse and compare average salaries in locations where this role is also popular: