Position
Salary
Data Engineers play a key role in managing and processing data. They earn a solid income for their work. The average yearly salary for a Data Engineer is around $135,209. This means many Data Engineers make a good living. Their pay can vary based on experience and location.
Here are some salary ranges for Data Engineers:
San Francisco, CA
Average Salary: $172,903
In San Francisco, tech giants like Google and Salesforce thrive. Professionals here work on cutting-edge data projects. The city offers a vibrant tech scene and high salaries.
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San Jose, CA
Average Salary: $157,133
San Jose, known as Silicon Valley, is home to many tech companies. Data experts here focus on big data solutions. The job market offers many opportunities for growth.
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New Orleans, LA
Average Salary: $154,757
New Orleans has a growing tech industry. Companies like IBM and Dataminr seek skilled data professionals. The city combines a unique culture with tech opportunities.
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Hartford, CT
Average Salary: $150,905
Hartford offers a mix of tech and insurance companies. Data engineers here work on innovative projects. The city provides a balanced lifestyle with good job prospects.
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Stamford, CT
Average Salary: $147,072
Stamford is a hub for financial services and tech. Companies like GE and Eversource need data experts. The city offers a mix of urban and suburban living.
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Los Angeles, CA
Average Salary: $146,439
Los Angeles is a major center for entertainment and tech. Companies like Amazon and Netflix hire data professionals. The city offers a dynamic work environment.
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Washington, DC
Average Salary: $145,434
Washington, DC, has many government and tech firms. Data experts here work on critical projects. The city offers a mix of professional and cultural opportunities.
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Columbia, SC
Average Salary: $145,119
Columbia is a growing tech hub in South Carolina. Companies like IBM and Sonos seek data talent. The city offers a lower cost of living with good job opportunities.
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Boston, MA
Average Salary: $143,745
Boston is a historic city with a strong tech presence. Companies like Fidelity and State Street hire data professionals. The city offers a rich cultural scene and good job prospects.
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Fayetteville, AR
Average Salary: $143,708
Fayetteville offers a mix of tech and education. Companies like Walmart and Tyson Foods need data experts. The city provides a friendly community and good job opportunities.
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Netflix
Average Salary: $449,138
Netflix offers exciting Data Engineer jobs. They work on big data and streaming services. They have offices in Los Angeles, California, and many other places.
Scribd
Average Salary: $215,722
Scribd provides Data Engineer positions. They focus on digital content and data management. They operate in San Francisco, California, and other locations.
DCI Solutions
Average Salary: $202,083
DCI Solutions hires Data Engineers. They work on data analytics and solutions. They have offices in Washington, D.C., and other areas.
EY
Average Salary: $197,202
EY offers Data Engineer jobs. They focus on data strategy and insights. They operate in New York, New York, and other locations.
Apple
Average Salary: $194,188
Apple provides Data Engineer positions. They work on data systems and products. They have offices in Cupertino, California, and other places.
KPMG
Average Salary: $189,846
KPMG hires Data Engineers. They focus on data analytics and consulting. They operate in New York, New York, and other locations.
PwC
Average Salary: $181,665
PwC offers Data Engineer jobs. They work on data solutions and services. They have offices in New York, New York, and other areas.
Atlassian
Average Salary: $177,271
Atlassian provides Data Engineer positions. They focus on data tools and software. They operate in Sydney, Australia, and other locations.
TikTok
Average Salary: $177,086
TikTok hires Data Engineers. They work on data systems and trends. They have offices in Los Angeles, California, and other places.
CareFirst BlueCross BlueShield
Average Salary: $175,786
CareFirst BlueCross BlueShield offers Data Engineer jobs. They focus on health data and analytics. They operate in Baltimore, Maryland, and other locations.
A Data Engineer can increase their earnings by focusing on several key areas. Building a strong foundation in essential skills can open up higher-paying opportunities. Specializing in high-demand technologies and gaining relevant certifications can also boost earnings. Networking and staying updated with industry trends can lead to better job offers and promotions. Continuous learning and improving problem-solving skills can make a Data Engineer more valuable to employers. Seeking out roles in industries with higher compensation can also lead to increased earnings.
A Data Engineer can earn more by taking specific steps to enhance their career. First, gaining expertise in popular tools and technologies like Apache Spark or Hadoop can make a candidate more attractive to employers. Second, obtaining certifications from recognized organizations can validate skills and lead to higher-paying positions. Third, participating in professional networks and attending industry events can provide opportunities for career advancement. Fourth, consistently improving technical skills and staying current with industry trends can lead to better job offers. Finally, targeting roles in sectors known for higher compensation, such as finance or healthcare, can increase earning potential.
Here are five factors that can help increase earnings as a Data Engineer: