Data engineering has been one of the most sought-after fields in recent years, especially considering the massive swathes of data that big tech firms like Apple deal with. Data engineers play a crucial role in leveraging data to program applications, create processes, understand consumer behavior, and make business decisions. Apple actively hires for data engineering roles and is known to compensate its data engineers with lucrative salaries.
If you’re preparing for a data engineer tech interview, check out our interview questions page and salary negotiation ebook to get interview-ready! Also, read Apple Interview Questions and The Ultimate Guide To Crack Apple’s On-site Interview for specific insights and guidance on Apple tech interviews.
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In this article, we’ll look at the qualifications needed to apply for data engineering roles at Apple, the kind of compensation offered to data engineers, and compare data engineer salaries across the FAANG companies.
Here’s what we’ll cover in this article:
Though data engineers are responsible for a wide variety of activities, the core functions of a data engineer at Apple can be summarized as:
Recommended Reading: What Does a Data Engineer Do?
These are the main qualifications and skills required by data engineers at Apple:
Here’s what the average annual salary of a data engineer at Apple looks like:
The above figures indicate the average salaries of data engineers at Apple. Note that for senior positions, average salaries overshoot $300,000.
Here are some additional benefits that data engineers at Apple enjoy:
The below table compares the salaries of Apple data engineers vs. other companies.
FAANG companies are usually known for paying high salaries for data engineering roles. This reflects the importance associated with these roles. These companies also offer stock options to data engineers, mostly depending on the seniority of the position. These stock options, also known as restricted stock units, typically have a vesting period of 4-5 years.
Want to get started with your data engineer interview prep? Here are some resources that can help:
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