These are the programming languages Apple uses

Welcome back! The past few days we’ve been hitting on the programming languages massive companies require like Google, FaceBook, Microsoft and Amazon. Now, let’s talk about the most popular programming languages Apple requires! As I mentioned before, in order for me to find these languages I just went to Apple’s career website, clicked on all of the programming jobs and noted all of the programming languages I saw.

The most common programming languages I saw that Apple uses are: Python, SQL, NoSQL, Java, Scala, C++, C, C#, Object-C and Swift. Apple also requires a bit of experience in the following frameworks / technologies as well: Hive, Spark, Kafka, Pyspark, AWS and XCode. Let’s go into some details of these programming languages!

Python & Scala

This is one of the most popular languages right now, this language can be used for software engineering or data science. First off, I saw this language as a requirement in a ton of different positions from Apple, so if you plan on applying at Apple, learning Python will allow you to apply to a ton of jobs. On top of this, Python isn’t extremely hard to learn, it’s still hard to become an expert (just like any other language) but it’s still a very solid language to know. Apple also requires a bit of experience within Scala, this language is primarily focused around Data Science, one of it’s main uses is using the Apache Spark data engine.


Java is a very popular language used in tons of companies across the world, Apple is one of those companies. This language is a object oriented language with a large community behind it, so if you plan on learning this language, you will have a large community to help you.

C, C# and C++

Next up, C, C# and C++ are very popular languages that i’m sure everyone knows about. C is one of those languages that whatever software engineering position (even some data science positions) are going to require it regardless. C++ is another very popular language, this language was originally known as “c with classes”. Since it’s origination, it’s pretty much been it’s own language. You can build out a lot of different things with both C and C++: Games, Applications, Operating Systems, etc.. As some of you may know, C# is a language actually developed by Microsoft, but it’s used in a ton of different companies. This language is a object oriented language with a ton of different uses.

Objective-C and Swift

These 2 languages weren’t really that popular for Apple developers surprisingly, even though a lot of their infrastructure was built on these 2 languages. First off, Objective C is an object oriented language which is actually the main language that is supported for macOS, iOS and other softwares as well, that is until 2014. Swift was announced and released in 2014, this was pretty much the successor to Objective-C. Swift is an object oriented programming language as well which can only be compiled on a macOS machine. This language also allows you to develop out macOS and iOS applications, so if you plan on becoming an application developer from them, you may want to learn one if not both of these languages.


Finally, SQL was another massive language required from almost every single job I saw, ranging from software engineering to data science. SQL allows us to develop databases and essentially extract data from those databases, since Apple requires experience with AWS, SQL is a massive part in developing out their databases within Redshift. NoSQL is another flavor of SQL, this allows you to develop out databases in different models from standard SQL queries.

There you have it, those are most of the common languages I saw required by Apple. Like I mentioned before, even though the programming languages are important, the frameworks and technologies they require are very important to the positions as well.

As Always

if you have any suggestions, thoughts or just want to connect, feel free to contact / follow me on Twitter! Also, below is a link to some of my favorite resources for learning programming, Python, R, Data Science, etc.

Data Scientist / Engineer

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