Top 5 high paying tech skills for 2024

Summary

This 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

00:00

💼 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.

05:00

🚀 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.

Keywords

💡Web Developer

A web developer is a programmer who specializes in designing and creating websites. They are responsible for the look, feel, and functionality of a site. In the video's context, web developers are compared with DevOps engineers in terms of salary, with web developers earning around $87,000 per year according to a report by Dice.

💡DevOps Engineer

A DevOps engineer is a professional who combines software development (Dev) and IT operations (Ops) practices to help organizations build, test, and release software quickly and reliably. The video mentions that DevOps engineers have a higher average salary compared to web developers, making around $136,000 per year.

💡Supply and Demand

Supply and demand is an economic principle that dictates the price of a good or service based on its availability and the desire of consumers to purchase it. In the video, it is mentioned that understanding the supply and demand for certain tech skills can reveal opportunities in the job market, affecting the salary one can command.

💡Go Programming Language

Go, also known as Golang, is a statically typed, compiled programming language designed at Google. It is characterized by its simplicity, efficiency, and versatility. The video describes Go as a language that is easy to learn like Python but powerful like C++, and it is used for building web services and cloud-native applications. Programmers skilled in Go can expect to earn around $145,000 per year.

💡Rust

Rust is a systems programming language that focuses on speed, memory safety, and concurrency. It is known for its performance, which rivals that of C++, while providing memory safety features that help prevent common programming errors. The video positions Rust as a high-paying skill, with those proficient in Rust earning around $137,000 per year.

💡Docker

Docker is a platform that uses containerization technology to package applications with all of their dependencies into a portable format for easy deployment. The video uses the analogy of a 'portable kitchen' to explain Docker's functionality, emphasizing its role in ensuring consistency across different computing environments. Docker is a key skill for DevOps engineers, with associated salaries around $139,000 per year.

💡Kubernetes

Kubernetes is an open-source container orchestration system for automating application deployment, scaling, and management. It is likened to a 'catering company' in the video, coordinating multiple 'kitchens' (Docker containers) to ensure seamless operation. Knowledge of Kubernetes is highly valued, with salaries averaging around $139,000 per year.

💡Cloud Providers

Cloud providers are companies that offer cloud computing services, such as AWS (Amazon Web Services), GCP (Google Cloud Platform), and Azure. These providers offer a range of services that facilitate various computing needs without the need for local infrastructure. The video mentions learning about cloud services and obtaining cloud certifications as a path to a salary of around $145,000 per year.

💡MapReduce

MapReduce is a programming model and an associated implementation for processing and generating large datasets. It is composed of a Map step, which processes input data, and a Reduce step, which consolidates all the mapped results. The video uses the analogy of counting word occurrences in a pile of books to explain the concept. MapReduce is often associated with Hadoop, and professionals skilled in this area can expect to earn around $146,000 per year.

💡Hadoop

Hadoop is an open-source framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is integral to the MapReduce process as it provides the infrastructure for storing and processing data. The video suggests that understanding Hadoop and MapReduce can lead to high-paying roles in data engineering.

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