Data Engineer Salaries

Data Engineers play a key role in managing and processing data. They earn a good salary for their work. The average yearly salary for a Data Engineer is around $135,000. This number can change based on experience and location.

Here are some salary details for Data Engineers:

• The lowest 10% earn about $68,500.
• The highest 10% earn about $232,500.
• The middle 50% earn between $98,000 and $158,000.

1. San Francisco, CA
   Average Salary: $170,114
   In San Francisco, tech giants like Google and Salesforce offer exciting opportunities. The city is a hub for innovation, making it a great place for data professionals. The competitive salary and dynamic work environment attract top talent.
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2. San Jose, CA
   Average Salary: $157,006
   San Jose, known as the Silicon Valley, is home to many tech companies. Working here means being part of a thriving tech community. Companies like Adobe and eBay provide excellent career growth for data professionals.
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3. New Orleans, LA
   Average Salary: $154,757
   New Orleans offers a unique blend of culture and technology. Companies like Microsoft and IBM are present here. The city's vibrant atmosphere makes it a great place to work and live.
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4. Hartford, CT
   Average Salary: $149,588
   Hartford is a hub for insurance companies like Aetna and Travelers. Working as a data professional here means you'll be part of a stable industry. The city offers a good balance of work and leisure.
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5. Stamford, CT
   Average Salary: $147,950
   Stamford is known for its financial services sector. Companies like UBS and General Electric offer great opportunities. The city provides a professional environment with a good quality of life.
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6. Los Angeles, CA
   Average Salary: $146,591
   Los Angeles is a major center for entertainment and tech. Companies like Amazon and Netflix offer dynamic work environments. The city's diverse culture adds to the professional experience.
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7. Columbia, SC
   Average Salary: $145,119
   Columbia offers a mix of tech and traditional industries. Companies like Boeing and IBM are present here. The city provides a supportive environment for career growth.
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8. Washington, DC
   Average Salary: $144,497
   Washington, DC is a political and tech hub. Companies like Google and Amazon offer exciting opportunities. The city's rich history and vibrant culture enhance the professional experience.
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9. Boston, MA
   Average Salary: $143,584
   Boston is a center for education and tech. Companies like Fidelity and State Street offer great opportunities. The city's rich history and vibrant culture add to the professional experience.
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10. Tulsa, OK
    Average Salary: $142,118
    Tulsa offers a growing tech scene with companies like American Airlines and QuikTrip. The city provides a supportive environment for career growth. Tulsa's affordable cost of living makes it an attractive option.
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1. Netflix
   Average Salary: $449,000
   Netflix offers exciting opportunities for Data Engineers. They work on large-scale data projects to improve user experience. Netflix operates globally, with major offices in Los Gatos, California, and international offices in countries like the UK and Canada.
   

   
   

2. Scribd
   Average Salary: $216,434
   Scribd provides a platform for reading and listening to a wide range of content. Data Engineers at Scribd focus on data infrastructure and analytics. The company is based in San Francisco, California, with a growing presence in other tech hubs.
   

   
   

3. DCI Solutions
   Average Salary: $203,967
   DCI Solutions offers data management and analytics services. Data Engineers here work on complex data systems to support business decisions. The company operates in multiple locations, including Washington, D.C., and New York, NY.
   

   
   

4. Salesforce
   Average Salary: $197,450
   Salesforce is a leader in customer relationship management (CRM). Data Engineers at Salesforce develop data pipelines and analytics tools. They have offices in San Francisco, California, and other major cities worldwide.
   

   
   

5. Apple
   Average Salary: $195,730
   Apple is known for its innovative products. Data Engineers at Apple work on data infrastructure to support product development. The company is based in Cupertino, California, with additional offices in various locations around the world.
   

   
   

6. EY
   Average Salary: $195,246
   EY provides audit, tax, and consulting services. Data Engineers at EY focus on data analytics to support business strategies. They have offices in many cities, including New York, NY, and London, UK.
   

   
   

7. KPMG
   Average Salary: $189,846
   KPMG offers audit, tax, and advisory services. Data Engineers at KPMG work on data solutions to improve business processes. They operate in numerous locations, including New York, NY, and Sydney, Australia.
   

   
   

8. Atlassian
   Average Salary: $187,004
   Atlassian creates software for teams to collaborate. Data Engineers at Atlassian develop data tools to enhance product functionality. The company is based in Sydney, Australia, with offices in San Francisco, California, and other global locations.
   

   
   

9. TikTok
   Average Salary: $186,003
   TikTok is a popular social media platform. Data Engineers at TikTok work on data infrastructure to support user engagement. The company is headquartered in Los Angeles, California, with offices in other major cities.
   

   
   

10. PwC
    Average Salary: $181,665
    PwC provides assurance, tax, and advisory services. Data Engineers at PwC develop data solutions to support business insights. They have offices in many cities, including New York, NY, and London, UK.
    

A Data Engineer can increase their earnings by focusing on several key areas. Building a strong foundation in essential skills and technologies can lead to higher-paying opportunities. Gaining expertise in big data tools, cloud computing platforms, and data warehousing solutions can make a candidate more attractive to employers. Networking with industry professionals and attending relevant conferences can also open doors to better-paying jobs.

Experience and certifications play a significant role in earning potential. Gaining experience in various industries and projects can provide a well-rounded skill set. Certifications from recognized organizations can validate skills and knowledge. Continuous learning and staying updated with the latest trends and technologies can help a Data Engineer remain competitive in the job market. Here are some factors to consider:

1. Master essential skills and technologies.
2. Gain experience in different industries and projects.
3. Obtain relevant certifications.
4. Network with industry professionals.
5. Stay updated with the latest trends and technologies.