Data Engineer Salary in SF Bay Area

Data Engineer Job Description

Data engineers are responsible for preparing data for operational or analytical use. They solve problems connected to database integration as well as extract, transfer and present data for use. Most database engineers are skilled in data-related programming languages like SQL, Ruby, Java and Python. They are also capable of using REST-oriented APIs for managing data-integration tasks.

Data engineers often work alongside a team of other engineers and data scientists. They sometimes work in business departments, where they assist in delivering data aggregations to analysts and other end users. Depending on their specific function within a company, they may also be known as data infrastructure engineers, data architects or ETL (Extract, Transform, Load) developers.

Living and Working in San Francisco

A major hub for tech startups, San Francisco mirrors nearby Silicon Valley with a few notable tech names of its own. The city hosts online companies like Uber, Twitter and Craigslist among others. San Francisco is also a major financial center and a popular tourist destination, drawing millions of visitors each year. Some of the landmarks within the city include the Golden Gate Bridge, Alcatraz and Alamo Square.

San Francisco is famous for its steep hills and foggy weather. The city is home to over a dozen neighborhoods, each offering something unique. The Financial District is responsible for the city‰Ûªs gorgeous skyline, with its high rise apartments, banks and commercial buildings. The Marina, on the other hand, offers a gentler, wide-open view, where tall buildings are replaced with clean beaches and open space.

Find Data Engineer jobs on Hired.
We don't have enough data for SF Bay Area,
so we've calculated your salary information for the San Francisco Bay Area instead:
Based on real Hired interview data, Data Engineers in SF Bay Area earn an average annual salary of
Based on real Hired interview data, Data Engineers in SF Bay Area earn an average annual salary of
$164,632
The salaries of candidates in this role range from a low of $120,000 to a high of $210,000, with a median salary of $160,000.

Loading...


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. $187,641
  3. Phoenix
  4. $178,609
  5. Seattle
  6. $172,880
  7. Los Angeles
  8. $165,973
  9. New York
  10. $165,349
  11. Boston
  12. $160,265
  13. Austin
  14. $154,552
  15. Washington D.C.
  16. $153,538
  17. Denver
  18. $151,734
  19. Philadelphia
  20. $148,570
  21. Dallas/Ft Worth
  22. $147,404
  23. San Diego
  24. $147,125
  25. Atlanta
  26. $147,114
  27. Chicago
  28. $143,006
  29. Houston
  30. $142,945
  31. Minneapolis/St Paul
  32. $141,750
  33. Columbus
  34. $136,885
  35. Toronto
  36. C$135,358
  37. Tampa
  38. $132,000
  39. Dublin
  40. €99,609
  41. London
  42. £91,738
  43. France
  44. €64,166
  1. SF Bay Area
  2. $187,641
  3. Phoenix
  4. $178,609
  5. Seattle
  6. $172,880
  7. Los Angeles
  8. $165,973
  9. New York
  10. $165,349
  11. Boston
  12. $160,265
  13. Austin
  14. $154,552
  15. Washington D.C.
  16. $153,538
  17. Denver
  18. $151,734
  19. Philadelphia
  20. $148,570
  21. Dallas/Ft Worth
  22. $147,404
  23. San Diego
  24. $147,125
  25. Atlanta
  26. $147,114
  27. Chicago
  28. $143,006
  29. Houston
  30. $142,945
  31. Minneapolis/St Paul
  32. $141,750
  33. Columbus
  34. $136,885
  35. Toronto
  36. C$135,358
  37. Tampa
  38. $132,000
  39. Dublin
  40. €99,609
  41. London
  42. £91,738
  43. France
  44. €64,166
See what you could be earning as a Data Engineer by joining Hired

Do you work in this role? Send us a note if this doesn't look correct:

support@hired.com

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: