The 10 hottest tech jobs for 2022 – TechRepublic

Register for your free TechRepublic membership or if you are already a member, sign in using your preferred method below.
We recently updated our Terms and Conditions for TechRepublic Premium. By clicking continue, you agree to these updated terms.
Invalid email/username and password combination supplied.
An email has been sent to you with instructions on how to reset your password.
By registering, you agree to the Terms of Use and acknowledge the data practices outlined in the Privacy Policy.
You will also receive a complimentary subscription to TechRepublic’s News and Special Offers newsletter and the Top Story of the Day newsletter. You may unsubscribe from these newsletters at any time.
All fields are required. Username must be unique. Password must be a minimum of 6 characters and have any 3 of the 4 items: a number (0 through 9), a special character (such as !, $, #, %), an uppercase character (A through Z) or a lowercase (a through z) character (no spaces).
The 10 hottest tech jobs for 2022
Your email has been sent
Jobs in cybersecurity are growing faster than those in all other areas, says Coding Dojo.
Job demand for technology pros is on a hot streak following a cooldown in 2020 due to the coronavirus pandemic. The sector is seeing heavy demand for a variety of positions, though certain roles are warmer than others. A report released Tuesday by tech training provider Coding Dojo looks at the 10 hottest technology jobs for 2022 so far.
For its analysis, Coding Dojo defines a technology job as something that’s solely role-based, such as a technician who builds and maintains hardware, software or other types of technology. As such, this definition excludes roles that exist in a tech ecosystem or within a tech company, including management, content production and finance.
Among all the tech job areas, cybersecurity is growing the fastest, according to Coding Dojo. The U.S. Bureau of Labor Statistics forecasts that cybersecurity jobs will grow by 33% over the next decade, higher than every other career on the list.
SEE: Home video setup: What you need to look and sound professional (TechRepublic Premium)
“Cybersecurity is growing exponentially right now because it has been neglected before,” Coding Dojo CEO Richard Wang told TechRepublic. “A lot of companies didn’t factor vulnerabilities into their code, so now they’re playing catch-up. That, in addition to increased media attention on data breaches, are pretty much pouring gasoline on this industry.”
To create its list of the ten most in-demand tech jobs for 2022, Coding Dojo looked at Glassdoor’s 50 Best Jobs in America for 2022 and captured each role that fit its definition of a tech job. The company then analyzed the number of tech job listings on Indeed and the projected growth rate for each one as given by the U.S. Bureau of Labor Statistics. Finally, Coding Dojo combined all this data to generate its top ten list (Figure A).
Figure A
With cybersecurity jobs in hot demand, the role of information security engineer came in first place. This job is described as a mid- to senior-level cybersecurity professional that builds and designs security systems for networks and applications.
To qualify for such a role, you should possess years of experience in cybersecurity backed by a knowledge of Linux, Unix and Java systems, as well software coding, SSL, SSH and SIEM systems. The average salary for an information security engineer is $119,000, according to Glassdoor.
A full-stack engineer is a versatile type of programmer who can code across multiple stacks, such as front-end clients and back-end servers. Demand is high here because employers are always eager to hire developers who are well rounded and can do it all. People looking to pursue this specialty should start learning more stacks to increase their versatility.
The data scientist is a relatively new role among technology jobs. Data scientists capture, maintain, process, analyze and share data within an organization. As such, this type of job is highly in-demand across a variety of industries. Entry-level jobs in this area pay just under $90,000, with more experienced positions paying well above that amount.
SEE: Hiring kit: Data scientist (TechRepublic Premium)
“Data science is in its relative infancy, and yet there is no end to its possibilities as machine learning and artificial intelligence continue to improve,” Wang said. “Early on, data scientists were largely expected to collect, organize and present data. Today’s data scientists do all of that plus use machine learning to analyze multiple different business decisions for companies, making it an incredibly beneficial and in-demand position across all industries.”
A machine learning engineer is a mid- to senior-level data scientist who handles the artificial intelligence and machine learning elements of a job. This role requires a strong knowledge of machine learning and the ability to work with different data structures and environments. On average, machine learning engineers earn just over $110,000 per year, though some positions pay more than $300,000.
Among programming languages, Java is still among the most popular according to most studies and surveys. Employers always covet Java developers. The median salary for a Java coder in the US is $114,000.
Jobs in which you work with data are always in demand, and that includes data engineering. In this role, you take on the tasks that a machine learning engineer does not handle. This means you ensure that data is collected, organized, and sent to the right places.
When comparing the different data-focused jobs, it’s helpful to remember that a data engineer and a machine learning engineer are more specialized, while a data scientist is effectively a combination of the two. The average salary for a data engineer in the U.S. is $116,000, according to Glassdoor.
As more organizations migrate key assets to the cloud, the role of cloud engineer has grown in demand. As someone who supports cloud-based environments, you need to understand Linux for cloud development as well as programming languages such as MySQL, SWL, Java and Python. Knowledge of AWS is also valuable. The average salary for a cloud engineer in the US is $118,000, according to Glassdoor.
Backend engineers dive into the nuts and bolts of a website or application, meaning they might build something new from scratch or enhance a legacy site or program. For that reason, you should be a well-rounded engineer who knows multiple stacks. The median pay for this type of job in the U.S. is $134,000, but many positions pay more than $200,000.
With Salesforce seen as the most common CRM platform, professionals in this area are much in demand, especially since the platform can seem confusing to the people who actually have to use it.
A Salesforce engineer builds and improves Salesforce systems for companies based on their specific needs. This means they handle everything from integrating third-party apps to fixing technical issues that arise. A Salesforce engineer needs to know Java and C# as well as a special Salesforce language called Apex. The median salary for this role is $115,000.
Rounding up the top ten is automation engineer, a professional who works across different engineering teams to track down problems and resolve them through the use of automation. In this role, you analyze an organization’s engineering environment to locate potential areas for automation. You also use quality assurance to evaluate technology products. Automation engineers need knowledge of an automation testing program, such as Lambda Test, Rainforest and Cypress. On average, this job pays an annual salary of $104,000.
We deliver the top business tech news stories about the companies, the people, and the products revolutionizing the planet.
The 10 hottest tech jobs for 2022
Your email has been sent
Your message has been sent
TechRepublic Premium content helps you solve your toughest IT issues and jump-start your career or next project.
Windows 11 gets an annual update on September 20 plus monthly extra features. In enterprises, IT can choose when to roll those out.
Edge AI offers opportunities for multiple applications. See what organizations are doing to incorporate it today and going forward.
This is a complete guide for Apple’s iPadOS. Find out more about iPadOS 16, supported devices, release dates and key features with our cheat sheet.
Discover data intelligence solutions for big data processing and automation. Read more to explore your options.
Whether you are a Microsoft Excel beginner or an advanced user, you’ll benefit from these step-by-step tutorials.
Edge computing is an architecture intended to reduce latency and open up new applications. The terms around it can be fluid, but are helpful to know. From the glossary’s introduction: Edge computing is an architecture which delivers computing capabilities near the site where the data is used or near a data source. In an idealized …
This document helps make sure that you address data governance practices for an efficient, comprehensive approach to data management. This checklist from TechRepublic Premium includes: an introduction to data governance, a data governance checklist and how to manage a data governance checklist. From this checklist’s introduction: Data governance is the process by which an organization …
Recruiting a Scrum Master with the right combination of technical expertise and experience will require a comprehensive screening process. This hiring kit provides a customizable framework your business can use to find, recruit and ultimately hire the right person for the job. This hiring kit from TechRepublic Premium includes a job description, sample interview questions …
Knowing the terminology associated with Web 3.0 is going to be vital to every IT administrator, developer, network engineer, manager and decision maker in business. This quick glossary will introduce and explain concepts and terms vital to understanding Web 3.0 and the technology that drives and supports it.

source

Leave a Comment