Amazon is one of the biggest technology companies with a massive consumer base. The amount of data the company deals with is humongous, especially considering that it has its wings spread across different sectors spanning e-commerce, cloud computing, digital streaming, enterprise software, and aerospace.
It is no surprise that Amazon needs the services of seasoned data engineers to leverage data for improved consumer experience and business success. Data engineers at Amazon enjoy a rewarding work environment complemented by lucrative compensation packages.
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Through this article, we’ll discuss::
Data engineers have a crucial role to play at Amazon. Here’s what they typically do:
Recommended reading: What Does a Data Engineer Do?
Take a look at some skills that Amazon looks for in Data Engineers:
Listed below are the qualifications that Data Engineers need to apply for a job at Amazon:
The average base compensation for Data Engineers at Amazon is $113,224 per annum. The total average compensation of Data Engineers at Amazon is $119,996 per annum.
The average bonus salary offered is $25,730 per annum, while the average stock bonus offered to Amazon Data Engineers is $20,330.
Depending on the seniority of the role, data engineers at Amazon can make upwards of $300,000 per annum.
The following are some additional benefits offered to Data Engineers at Amazon:
Here’s how Data Engineer salaries at Amazon compare with other top tech companies.
Data engineering roles are significantly rewarding at Facebook, Amazon, Apple, Netflix, and Google (FAANG) companies as far as the compensation and other benefits are involved.
These companies also offer stock options to senior Data Engineers. Stock options come with fixed vesting periods, usually stretching up to 4 years, and mostly dependent on the seniority of the position.
Recommended Reading: Google Data Engineer Salaries
The most important thing to ensure you land the Data Engineer job at Amazon is to prepare well. During your preparation, make sure you research well about the company and its vision. You can also read through the following articles to learn more about the Data Engineer role and interview process:
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