Data Engineer Salaries

1. San Francisco, CA
   Average Salary: $182,253
   Working in San Francisco offers a dynamic tech environment. The city is home to many tech giants. Talented professionals can expect competitive salaries and opportunities for growth.
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2. Toledo, OH
   Average Salary: $168,227
   Toledo provides a balanced approach to data work. It is a less hectic place than larger cities. Professionals can still find rewarding positions with good pay.
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3. New Orleans, LA
   Average Salary: $163,026
   New Orleans combines a vibrant culture with strong data opportunities. The city is known for its unique charm. Professionals can enjoy a pleasant lifestyle while working in data.
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4. San Jose, CA
   Average Salary: $158,488
   San Jose is the heart of Silicon Valley. The area is famous for its tech industry. Job seekers can find numerous opportunities with leading tech companies.
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5. Fayetteville, AR
   Average Salary: $155,286
   Fayetteville offers a more relaxed work environment. The city has a growing tech sector. It's a great place for those seeking a balance between work and life.
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6. Hartford, CT
   Average Salary: $151,084
   Hartford provides a mix of industry and innovation. The city has a range of businesses that need data expertise. Professionals can expect a supportive work environment.
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7. Louisville, KY
   Average Salary: $149,945
   Louisville is a mid-sized city with many opportunities. The area is known for its friendly atmosphere. Job seekers can find good roles in data with decent pay.
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8. Los Angeles, CA
   Average Salary: $149,572
   Los Angeles offers a bustling tech scene. The city attracts many companies that need data skills. It provides a lively environment for data professionals.
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9. Columbia, SC
   Average Salary: $148,125
   Columbia has a growing tech presence. The city offers a lower cost of living. Professionals can find solid opportunities with a good work-life balance.
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10. Washington, DC
    Average Salary: $147,970
    Washington, DC, is a hub for tech and data. The city offers many government and private sector opportunities. Professionals can enjoy a vibrant community with diverse options.
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1. Netflix
   Average Salary: $465,455
   Netflix offers Data Engineer jobs focused on building scalable data infrastructure. They operate globally with main locations in Los Gatos, California and offices in the U.S., Europe, and Latin America.
   

   
   

2. OpenAI
   Average Salary: $355,769
   OpenAI provides Data Engineer roles that involve creating advanced data systems. The company is based in San Francisco, California and has projects worldwide.
   

   
   

3. Scribd
   Average Salary: $215,722
   At Scribd, Data Engineers manage large datasets and data pipelines. They are headquartered in San Francisco, California, and serve users across North America.
   

   
   

4. DCI Solutions
   Average Salary: $199,840
   DCI Solutions offers Data Engineer positions that focus on data warehousing and business intelligence. They operate across the U.S. with main offices in Denver, Colorado.
   

   
   

5. Apple
   Average Salary: $199,360
   Apple hires Data Engineers for data analytics and machine learning projects. They have main offices in Cupertino, California, and locations globally.
   

   
   

6. LPL Financial
   Average Salary: $198,059
   LPL Financial seeks Data Engineers to work on their financial data platforms. They operate nationwide with headquarters in San Diego, California.
   

   
   

7. EY
   Average Salary: $185,427
   EY offers Data Engineer jobs that involve data strategy and integration. They have offices worldwide, with key locations in New York City and London.
   

   
   

8. KPMG
   Average Salary: $182,537
   KPMG provides Data Engineer roles focused on data analytics and automation. They operate internationally, with significant offices in New York City and London.
   

   
   

9. PwC
   Average Salary: $178,108
   PwC hires Data Engineers for data governance and analytics projects. They have offices worldwide, with headquarters in New York City.
   

   
   

10. Microsoft
    Average Salary: $174,514
    Microsoft offers Data Engineer positions that involve working with big data technologies. They have main offices in Redmond, Washington, and locations globally.
    

In the tech industry, data engineers hold a crucial role. They manage and organize data to help businesses make informed decisions. Increasing your earnings as a data engineer involves several strategic steps. Understanding and focusing on these areas can significantly improve your salary prospects.

First, gaining specialized skills can make a big difference. Proficiency in programming languages like Python and SQL is essential. Experience with big data tools such as Hadoop, Spark, or Kafka also helps. Certifications in these technologies can enhance your resume. Continuous learning through online courses or workshops keeps skills up-to-date.

Second, experience in specific industries can boost earnings. Working in high-demand sectors like finance, healthcare, or tech often pays more. This experience shows employers your ability to handle complex data projects. Networking within these industries can lead to better job opportunities.

1. Specialized Skills
2. Industry Experience
3. Certifications
4. Networking
5. Advanced Degrees