Top 5 high paying tech skills for 2024
Summary
TLDRThis video explores high-paying tech skills beyond common web development, highlighting the lucrative potential of being a DevOps engineer, who earns around $136,000 per year compared to a web developer's $87,000. It introduces five in-demand skills: Go programming for its efficiency and versatility; Rust for its memory safety and performance; Docker and Kubernetes for application deployment and management; cloud services like AWS, GCP, and Azure for their diverse offerings; and MapReduce for big data processing. The video emphasizes the importance of supply and demand in determining job market value and encourages viewers to consider these specialized skills for higher earning potential.
Takeaways
- 💰 Web developers earn around $87,000 per year, while DevOps engineers make approximately $136,000, according to a Dice report.
- 📈 Supply and demand in the job market can affect an individual's value, and knowing areas with a supply-demand mismatch can uncover hidden opportunities.
- 🔥 Go programming language, created by Google in 2009, is gaining popularity for its simplicity, efficiency, and versatility, with a salary potential of around $145,000 per year.
- 🔧 Rust is a modern choice for low-level programming, ensuring memory safety and offering a competitive salary of around $137,000 per year.
- 🚀 Docker and Kubernetes are essential for DevOps engineers, with Docker providing a portable environment for applications and Kubernetes managing containerized applications, offering a salary of around $139,000.
- ☁️ Cloud skills, such as those related to AWS, GCP, and Azure, are in high demand, with a salary potential of around $145,000 per year.
- 📚 MapReduce, used with Hadoop for processing large data sets, is a valuable skill for data engineers, with a salary expectation of around $146,000.
- 🛠️ Learning high-paying tech skills is not just about salary; other factors like ease of learning, background, and future prospects should also be considered.
- 🌐 Popular tech skills like Python, Java, and JavaScript are still valuable, and there are roadmaps available for learning these languages.
- 🎓 Cloud certifications from providers like AWS, GCP, and Azure can help in learning and showcasing cloud skills.
- 🔑 Understanding the specific use cases and configurations of cloud services is crucial for leveraging cloud technologies effectively.
Q & A
According to the report by Dice, which role tends to have a higher annual salary: a web developer or a DevOps engineer?
-According to the report by Dice, a DevOps engineer tends to have a higher annual salary, making around $136,000 per year, compared to a web developer, who makes around $87,000 per year.
What are some factors to consider when choosing a technology to learn besides salary?
-Factors to consider when choosing a technology to learn include ease of learning, your background, future prospects, and the balance between supply and demand in the job market.
What is Go, and why is it gaining popularity among developers?
-Go, also known as Goang, is a programming language created by Google in 2009. It is gaining popularity due to its simplicity, efficiency, and versatility. It is a general-purpose language with built-in support for concurrency, making it ideal for developing high-throughput and low-latency systems.
How much can a programmer expect to earn if they know Go according to the Dice report?
-According to the Dice report, programmers who know Go can expect to make around $145,000 per year.
What is Rust, and why is it preferred in low-level programming for certain requirements?
-Rust is a modern programming language that ensures memory safety through an ownership and borrowing system, making it immune to memory leaks and common programming pitfalls. It is preferred in scenarios where execution speed is critical, such as in operating system kernels or game development.
What is the average salary for someone skilled in Rust?
-For those with Rust in their skill set, the average salary is around $137,000 per year.
Can you explain the analogy used in the script for Docker and Kubernetes?
-The script uses the analogy of a chef and a catering company to explain Docker and Kubernetes. Docker is like a portable kitchen that packages the entire cooking process, ensuring the same taste no matter where it's cooked. Kubernetes is like the catering company that coordinates all kitchens, ensuring seamless operation.
What is the average salary for a DevOps engineer skilled in Docker and Kubernetes?
-A DevOps engineer skilled in Docker and Kubernetes can expect to earn around $139,000 per year.
What are some of the services provided by cloud providers like AWS, GCP, and Azure?
-Services provided by cloud providers include virtual servers (e.g., Amazon EC2), serverless computing (e.g., AWS Lambda), and services that help manage Kubernetes clusters (e.g., Google Kubernetes Engine or Amazon Elastic Kubernetes Service).
How much can one expect to earn with cloud skills, such as those from AWS, GCP, or Azure?
-With cloud skills, one can expect to earn around $145,000 per year.
What is MapReduce, and how is it used in data processing?
-MapReduce is a two-stage process (mapping and reducing) used for data processing, particularly with large datasets. It involves dividing the work among many servers (mapping), where each server processes a portion of the data. The results are then combined and summarized (reducing) to provide the final output.
What is the average salary for a data engineer skilled in MapReduce and Hadoop?
-A data engineer skilled in MapReduce and Hadoop can expect to earn around $146,000 per year.
Outlines
💼 Web Developer vs DevOps Engineer Salary Comparison
The video begins with a salary comparison between web developers and DevOps engineers, revealing that web developers earn around $87,000 per year while DevOps engineers make approximately $136,000 annually. The narrator emphasizes the importance of considering various tech skills beyond web development due to higher pay potential. Factors such as ease of learning, personal background, and future prospects should also be considered when choosing a technology to learn.
🚀 The Versatility of Go Programming Language
Go, also known as Golang, is introduced as a powerful yet easy-to-learn programming language created by Google in 2009. It is popular for its simplicity, efficiency, and versatility, making it suitable for tasks ranging from web services to cloud-native applications. Go's built-in concurrency support makes it ideal for high throughput and low latency systems. Programmers proficient in Go can earn around $145,000 per year. While Go is faster than most modern languages, it still falls short of C++ performance due to its garbage collector.
⚡ Rust: The Rising Star in Low-Level Programming
Rust is highlighted as a preferred choice for low-level programming, especially where execution speed is critical, such as in operating system kernels and game development. Rust ensures memory safety through its ownership and borrowing system, preventing memory leaks and other common issues. The language has been gaining popularity and is often ranked among the most loved programming languages. Rust developers can expect to earn around $137,000 per year.
📦 Docker and Kubernetes: Revolutionizing DevOps
Docker and Kubernetes are essential tools for DevOps engineers. Docker allows developers to package applications and their dependencies into containers, ensuring consistent performance across different environments. Kubernetes acts as a central coordinator, managing and automating the deployment of these containerized applications. Together, they streamline the process of sharing and deploying applications. Professionals with skills in Docker and Kubernetes can earn around $139,000 annually.
☁️ Cloud Skills: AWS, GCP, and Azure
Cloud computing skills, particularly in AWS, GCP, and Azure, are crucial for managing applications running on servers in the cloud. These cloud providers offer various services, such as virtual servers, managed Kubernetes services, and serverless computing options. Learning how to configure and use these services through certifications can significantly enhance job prospects. Cloud skills can lead to an average salary of $145,000 per year.
🔍 MapReduce: Handling Big Data with Hadoop
MapReduce is explained as a process for handling large-scale data processing tasks. It involves dividing tasks among multiple servers in the mapping stage and combining the results in the reducing stage. Hadoop, an open-source framework, facilitates this process. Understanding MapReduce is essential for aspiring data engineers. Professionals skilled in MapReduce and Hadoop can expect to earn around $146,000 annually.
📈 Summary and Additional Learning Paths
The video concludes by reiterating the high salary potential of the discussed technologies. It acknowledges that opting for more traditional programming languages like Python, Java, and JavaScript is also a viable option. The narrator invites viewers to watch another video that provides roadmaps for learning these popular languages. The video aims to guide viewers in making informed decisions about their tech career paths.
Mindmap
Keywords
💡Web Developer
💡DevOps Engineer
💡Supply and Demand
💡Go Programming Language
💡Rust
💡Docker
💡Kubernetes
💡Cloud Providers
💡MapReduce
💡Hadoop
Highlights
Web developers earn around $87,000 per year, while DevOps engineers earn approximately $136,000 according to a Dice report.
Thousands of YouTube videos cover web development, but fewer focus on higher paying tech skills.
Salary is not the only factor to consider when choosing a technology; ease of learning, background, and future prospects are also important.
Supply and demand in the job market can affect an employer's willingness to pay higher salaries for certain technologies.
Go, created by Google in 2009, is a general-purpose programming language known for its simplicity, efficiency, and versatility.
Go supports concurrency, making it ideal for developing high-throughput, low-latency systems.
Programmers skilled in Go can expect to earn around $145,000 per year and it ranks sixth among skills with the fastest-growing salary.
Rust is a low-level programming language that ensures memory safety and is preferred for high-speed execution requirements.
Rust developers can expect to earn around $137,000 per year.
Docker and Kubernetes are key DevOps tools; Docker packages applications into containers, and Kubernetes manages these containers.
DevOps skills in Docker and Kubernetes can lead to salaries around $139,000.
AWS, GCP, and Azure are popular cloud providers offering various services for managing applications and servers.
Cloud skills, including certifications, can result in salaries of around $145,000.
MapReduce is a process used for counting occurrences in large data sets, facilitated by the Hadoop framework.
Data engineers skilled in MapReduce can expect to earn around $146,000.
The video also offers alternative learning roadmaps for Python, Java, and JavaScript for those interested in more traditional technologies.
The presenter, Sahil, emphasizes that choosing a technology should not be based solely on salary but also on personal interest and market demand.
Transcripts
web developer versus devops engineer who
do you think gets paid more according to
a report by dice web developers get paid
around $87,000 per year whereas a devops
engineer makes around
$136,000 now there are thousands of
videos covering web development on
YouTube but there are not many that
cover the other higher paying Tech
skills in this video we'll cover five
such high paying Tech skills before we
begin I'm not saying that learning web
development or other popular skills that
you hear about is a bad choice there are
good reasons why they are so popular and
salary is not the only thing that you
should consider when picking a
technology there are other factors to
consider like ease of learning your
background and future prospects having
said that supply and demand determine
your value in the job market If an
employer has a lot of candidates that
know a particular technology it can
choose to pay them lower so knowing the
areas which have supply and demand
mismatch can help you find hidden
opportunities and that's what I want to
help you with in this video at number
five we have go programming language
imagine a language language that is as
easy to learn as python but as powerful
as C++ that's go go also known as goang
is a relatively new programming language
created by Google in 2009 it has quickly
gained popularity among developers due
to its Simplicity efficiency and
versatility go is a general purpose
programming language which means that it
can be used for a variety of tasks from
building web services to Cloud native
applications go can do it all go has
buil-in support for concurrency which is
the ability to run multiple tasks
simultaneously this makes it ideal
choice for developing high throughput
and low latency systems go can help you
get jobs like Cloud engineer and backend
engineer but how much can you expect to
get paid if you know go according to the
same dice report that I mentioned
earlier programmers who know go can make
around
$145,000 per year go also ranks sixth
among the skills with fastest growing
salary if you remember from earlier I
did say that go is as powerful as C++
well that is not completely true while
go is faster than most other modern
languages is it still cannot match the
performance of C++ that's because at the
end of the day go uses a garbage
collector for memory management this is
done to make a programmer's life easier
but it comes at the cost of performance
to truly match the performance of C++ we
have rust at number four in the world of
low-level programming rust stands out as
a rising star when the speed of
execution beats all other requirements
for example in operating system kernels
or game development rust is the
preferred modern Choice rust ensures
memory safety through ownership and
borrowing system this means that code is
immune to memory leaks and other common
programming pitfalls rust is constantly
ranked among the most L programming
languages in recent times so how much
does it pay to no rust if you have rust
in your skill set you can expect to make
around
$137,000 per year moving on at number
three we have Docker and kubernetes if
you're a devops engineer you would
already know what Docker and kubernetes
is but for others Let Me Explain real
quick imagine that you are a chef and
you have just perfected your Grandma's
secret lasagna recipe you want to share
it with the world but you also want to
make sure it tastes exactly the same no
matter where it's cooked that's where
Docker comes in Docker is like a
portable kitchen that lets you package
up your entire cooking process the
ingredients the utensils the oven
temperature and everything you can
package it all up into a neat little
container this container and its copies
can then be shipped to any Kitchen in
the world and the lasagna will taste
exactly the same as if you made it
yourself in the software World Docker
does the same thing for applications it
lets developers package up their code
libraries and dependencies into
containers which can then be run on any
computer without worrying about
compatibility issues this makes it very
easy to share and deploy applications
and that's why Docker has become so
popular if Docker is the portable
kitchen kubernetes is the catering
company that acts as the central
coordinator ensuring that all the
kitchens are working together seamlessly
in the software world kubernetes
automates the deployment and management
of containerized applications kubernetes
would restart failed containers scale
the application up or down and roll out
new versions of the application that's
too much information let's get to the
good part how much do devop skills like
Docker and kubernetes pay you can expect
somewhere around
$139,000 as we discussed earlier
kubernetes automates the management of
containerized applications but where do
these applications actually run these
applications run on a group of servers
or nodes which is also called kubernetes
cluster and these servers would usually
exist in Cloud which is what we have at
number two AWG CCP and Azure are some of
the most popular Cloud providers they
provide services like Google kubernetes
engine or Amazon elastic kubernetes
service that can help you manage your
kubernetes cluster but these are not the
only Services they provide if you look
at AWS these are some of the services
AWS offers gcp and Azure would also have
their own versions of these Services
each of these services does a specific
thing for example Amazon E2 lets you
rent virtual servers on cloud AWS Lambda
lets you run your code on the cloud
without without worrying about
maintaining and scaling your servers so
when I say learn Cloud what I actually
mean is to read about different services
available on cloud and their use case
when should you use which service how to
configure and use the popular cloud
services to learn all these things you
can do a cloud certification all Cloud
providers including AWS gcp and Azure
offer these certifications with Cloud
skills you can expect to get paid around
$145,000 at the top we have map reduce
imagine that you have a massive pile of
books and you need to count how many
times a specific word appears across all
of them if the number of books is very
large the task would be very difficult
and that's where we need map reduce
think of map reduce as two stage process
mapping and reducing in the mapping
stage you divide the work among many
servers also called helpers each helper
takes a book reads it and creates a list
of all the words and their counts they
then hand over these lists to the
reducing stage in the reducing stage
another set of helpers combines the list
from mapping stage they add up the count
for each word across all the lists
giving you the final tally of how many
times that word appears in the entire
pile of books map ruce operation is done
with the help of Hadoop Hadoop is an
open source framework that stores and
processes large amount of data and map
ruce is hadoop's processing engine if
none of this makes any sense right now
that's fine you can read more about it
if you plan to become a data engineer in
terms of salary you can expect somewhere
around
$146,000 as I said in the beginning of
this video if you not convinced about
these five Technologies and want to
stick to safer time tested options like
python Java and JavaScript that is
completely fine watch this video where I
share three road maps to Learn Python
Java and JavaScript my name is sahil and
I'll see you in the next
one
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