Azure Data Engineer Salary Guide: Salary by Experience and Location

As a data engineer, your salary can vary greatly depending on your experience and location. In the United States, Azure data engineers with 0-3 years of experience can expect to earn around $115,000 per year, while those with 4-7 years of experience can earn up to $145,000.

According to our data, top-paying cities for Azure data engineers include San Francisco, Seattle, and New York City. In these cities, Azure data engineers with 0-3 years of experience can earn upwards of $130,000 per year.

In contrast, cities like Austin and Raleigh-Durham offer more affordable options, with Azure data engineers with 0-3 years of experience earning around $100,000 per year.

As you gain experience as an Azure Data Engineer, your salary can significantly increase. For instance, a Senior-level cloud data engineer salary can reach up to $190,229 per year.

In the US, the average yearly salary for an Azure Data Engineer is $132,000, with a range of $117,000 to $156,000. This highlights the potential for growth as you gain more experience.

Here's a breakdown of average salaries for cloud engineers based on their experience level:

Keep in mind that salaries can vary depending on factors like location and industry. For example, Azure Data Engineers in California earn 20% higher than the national average salary.

Fifty percent of Azure Data Engineers are satisfied with their salary, a notable drop from 57% in our last survey. This statistic highlights the importance of salary satisfaction in the tech industry.

The survey also shows that 84% of respondents consider salary an important factor when evaluating their job. This is a clear indication that salary plays a significant role in job satisfaction.

Interestingly, 52% of respondents consider salary important, 28% are neutral, and 20% consider it unimportant. This variation suggests that salary is a complex factor that can impact job satisfaction differently for each individual.

Overall, the survey results indicate that salary satisfaction is a key concern for Azure Data Engineers.

Entry-level cloud data engineers can expect a salary of around $78,926 per year, based on experience level.

As a starting point, it's essential to know that entry-level cloud data engineers are well-compensated, with salaries ranging from $78,000 to $78,926 per year.

Here's a breakdown of average entry-level salaries for cloud data engineers based on experience level:

It's worth noting that entry-level Azure Data Engineers can earn an average of $78,000 per year, proving that they are skilled and in demand from the start of their careers.

As you gain more experience in your career, your salary tends to increase. For Azure Data Engineers, this is especially true, with mid-career salaries averaging around $103,000 per year.

Having specific skills can make a big difference in your earning potential. For example, Azure Data Engineers with big data skills earn 14% more than those without, while those with cloud computing skills earn 13% more.

It's clear that acquiring these skills can have a significant impact on your mid-career salary.

Here are some specific salary differences based on skills:

Overall, developing these skills can be a smart investment for your career and your wallet.

As you build your experience as an Azure Data Engineer, your salary will increase significantly. The average salary for an Azure Data Engineer in the US is $132,000 per year, with a range of $117,000 to $156,000.

Experience plays a huge role in determining your salary. Entry-level cloud data engineer salary is $78,926 per year, while mid-level cloud data engineer salary is $122,531 per year. Senior-level cloud data engineer salary is a whopping $190,229 per year.

Here's a breakdown of average salaries for cloud engineers based on their experience level:

As you gain more experience, your salary will continue to rise. Azure Data Engineers in the US earn 16% higher than the national average, making it a great place to build your career.

Your earning potential as an Azure Data Engineer is significantly impacted by your technical experience with Microsoft products, with 88% of respondents considering it a crucial factor.

Years of technical experience with Microsoft products is the most important factor, followed closely by years of experience in IT, which is considered important by 84% of respondents.

A table summarizing the factors that impact your earning potential as an Azure Data Engineer is as follows:

Experience is a major factor in determining your earnings as an Azure Data Engineer. Salaries increase significantly with experience, with entry-level roles starting at ₹5,00,000 and senior roles exceeding ₹30,00,000.

Years of technical experience with Microsoft products also play a crucial role, with 88% of respondents considering it an important factor. Additionally, experience in IT is also vital, with 84% of respondents ranking it as important.

Exposure to large projects is another factor that can impact your earnings, with 80% of respondents considering it important. Specific vertical industry experience is also valued, with 76% of respondents ranking it as important.

Microsoft certifications can also enhance your earning potential, but their importance varies, with 68% of respondents considering them important. On the other hand, a college or university degree is considered important by 52% of respondents.

Here's a summary of the factors that affect your earnings as an Azure Data Engineer:

Cloud-Based Job Titles play a crucial role in determining salary. Cloud engineers with specialized titles can earn significantly more than general cloud engineers.

These specialized titles are often certified by cloud providers like AWS, Azure, and GCP. AWS, GCP, and Azure cloud engineers are three distinct examples of these specialized titles.

AWS Cloud engineers have a higher average salary of $137,500 per year. GCP cloud engineers have an even higher average salary of $146,100 per year. Azure cloud engineers have an average salary of $132,500 per year.

Here's a comparison of the average salaries for these cloud engineers:

Certification is a crucial aspect of an Azure Data Engineer's career, with over two-thirds of professionals in this field holding a certification.

68% of Azure Data Engineers are certified, with 59% of those having undergone certification renewal to maintain their Microsoft Certified status.

Having a certification can significantly boost your value as a professional, with 88% of Azure Data Engineers believing that certifications make you a more valuable professional.

Certification is a crucial aspect of advancing in your career as an Azure Data Engineer. Over two-thirds (68%) of Azure Data Engineers are certified, a significant increase from our previous survey.

Having certifications can greatly boost your professional value, with 88% of Azure Data Engineers believing that certifications make you a more valuable professional. However, this percentage has decreased slightly from 91% in the past.

Budding Azure Data Engineers can start their certification journey with the Microsoft Certified: Azure Data Fundamentals, which helps brush up foundational skills. This certification is a great stepping stone to more advanced certifications.

As an Azure Data Engineer, your role is multifaceted, and it's essential to understand the various responsibilities that come with it. You'll be developing pipelines for data extraction and transformation across systems, making data accessible and insightful for analysts and data scientists.

Your primary responsibilities will include data integration, storage management, security and compliance, performance optimization, and collaboration. Data integration involves developing pipelines for data extraction and transformation across systems, ensuring smooth data flow.

Here are some key responsibilities of an Azure Data Engineer:

In addition to these responsibilities, you'll also be designing and implementing data pipelines, managing and optimizing storage, integrating data from various sources, implementing security and compliance, and working with cloud technologies like Azure Synapse and Data Bricks for scalable data solutions.