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Big Data Engineers Salaries in California
43
Job Postings
USD 203,511 /yr
Average Base Pay
Low
Average
High
Average annual salary:
USD 126,046
Lower end of salary rangeUSD 175,000
Average of salary rangeUSD 217,313
Higher end of salary rangeCities in California with the Most Jobs for Big Data Engineers
Here are the top 6 cities in California with the most jobs for Big Data Engineers and the average yearly salary in each:
CompTool's Squirrel includes 43 jobs postings for Big Data Engineers in cities across California.
Latest Big Data Engineers Jobs
Discover the latest competitive salaries for Big Data Engineers in California.
| Job Title | Company | Salary | |
|---|---|---|---|
| Staff Software Engineer, Big Data Storage | USD 270,990 | ||
| Big Data Engineer | Bright Vision Technologies | USD 100,000 | |
| Big Data Engineer (US) | AVP VIGILANT TECHNOLOGY PVT LTD | USD 147,500 | |
| Software Engineer II, Big Data, tvScientific | USD 189,182 | ||
| Software Engineer II, Big Data, tvScientific | USD 189,182 | ||
| Staff Software Engineer, Big Data, tvScientific | USD 270,990 | ||
| Senior Software Engineer, Big Data | ZipRecruiter | USD 170,000 |
Companies With Most Job Postings in California For Big Data Engineers
If you're looking for a diverse range of job opportunities, consider exploring positions at these companies, which have a significant number of Big Data Engineers job postings in California:
FAQs
Here are some frequently asked questions related to Big Data Engineers job postings and salaries in California:
Q
What qualifications are required for Big Data Engineer job openings in California?
A
Typically, qualifications include a bachelor's or master's degree in Computer Science, Information Technology, or a related field, as well as experience with data processing frameworks (like Hadoop or Spark), programming languages (such as Python, Java, or Scala), and knowledge of SQL and NoSQL databases. Familiarity with data mining, machine learning, and statistical analysis is also often required.
Q
What are the typical responsibilities of a Big Data Engineer in California?
A
Responsibilities often include designing, building, and maintaining scalable and robust big data ecosystems, developing high-performance algorithms, prototypes, predictive models, and proof of concepts, processing large sets of structured and unstructured data, and collaborating with data scientists and architects on data initiatives.
Q
How does experience impact the salary of a Big Data Engineer in California?
A
Experience has a significant impact on the salary of a Big Data Engineer. Entry-level engineers can expect to earn less than those with several years of experience, whereas senior engineers and those with specialized expertise in high-demand technologies often command higher salaries. Salaries also reflect the cost of living and demand for such roles in different regions of California.
Q
Are there specific industries in California with higher demand for Big Data Engineers?
A
Yes, there are specific industries with higher demand for Big Data Engineers, including technology, finance, healthcare, telecommunications, and entertainment. Within California, the tech hub of Silicon Valley offers numerous opportunities for data professionals due to the concentration of tech companies. Additionally, Los Angeles and San Francisco are significant markets for Big Data talent within their diverse economic landscapes.
List of Job Postings for Big Data Engineers in California
Explore our extensive list of Big Data Engineers job postings in California. Whether you're seeking your first job or considering a career move, you'll find a diverse range of opportunities. Click on the job titles to access more details and application links.
43 Job Postings
Big Data Engineers in
California