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Find out about the hottest careers in tech in our guide.
Today, tech jobs have become the new king of the career market. High salary, job demand, and job satisfaction offered by the most high-end tech jobs give people enough reasons to consider a job in tech. Unlike many others, a career switch to tech takes a less gravelly road. In that context, what are some of the Best Tech Jobs in 2020, let’s find out.
Data scientists are placed 3rd in Glassdoor’s 50 Best Jobs in America for 2020. With the ever-rising popularity of data science, demand for data scientists is increasing every day. If you are an investigative, analytical, and ever-curious one, who wants to figure out why things are the way they are with the help of data, becoming a data scientist might be the perfect career for you.
The job of the data scientists is to analyze a large amount of data collected by an organization to find hidden patterns and trends that help to make better business decisions and improve customer experience. A mouthful, yes. That’s because data science itself expands to 3 major fields of study: computer science, mathematics and statistics, and business.
Data science is one of the tech fields that is favor advanced degree holders to others. According to Burtch Works recruiting firm, 94% of data scientists hold at least a Master’s degree. So I say, you better start building your foundation to become a data scientist from today onwards.
To start off your career as a data scientist, you should be familiar with the following things at least to some level.
Read more about the Data Science Career in our full article.
As a job that falls under the data science umbrella, a machine learning engineer’s job is closely related to the job of a data scientist. They often work together in one team to achieve the best results for the data science tasks at hand. Given the field of their work, like data scientists, this is one of the best jobs for you to pursue in 2020.
So what is the difference between ML engineers and data scientists? The focus of ML engineers is more leaned towards the software engineering part involved with data science tasks. While data scientists are the people who know something about software engineering, ML engineers are the software engineers who have specialized in machine learning. Their job is to make sure the models that data scientists develop adhere to best practices of software development. They ensure developed software and models are reusable, maintainable, and scalable.
LinkedIn’s 2017 U.S. Emerging Jobs Report placed ML engineers in the first place with a 9.8 rate of growth, even ahead of data scientists. If pursuing this fast-growing career path is your objective, here’s what you should know to make it.
Expertise in best practices of software development and applying them (design patterns, writing reusable code, logging and monitoring, etc.)
With the ever-evolving threats against data exposed to the internet, the job of cyber security engineers, who provide secure network solutions against cyberattacks, hacking, and other security threats that happens over a cyber network, is becoming more essential in the world.
Cyber security engineers evaluate the organization’s network security position and ensure they are up-to-date and up to proper standards. They are involved in designing, implementing, maintaining, and upgrading all the security systems. Designing and conducting routine penetration testing (to test whether the security can be breached and how) also falls under their job description.
Most cyber security engineers hold at least a bachelor’s degree in computer science, software engineering, or another related field. This is not a necessity, but you are more likely to make it with a degree and some job experience in the field. The job of a cyber security engineer goes by several titles like data security engineer, IT security engineer, or Web security engineer.
Let’s take a look at what you should learn to become a cyber security engineer.
Read more about Cybersecurity Careers in our full article.
Emerging new high-profile technologies, like AI and IoT, have somewhat overshadowed the significance of networking. What most people don’t understand is how crucial networking is for the existence of all these new technologies. With the growing number of network-connected electronic devices used at modern organizations, employing network admins has become a must. That is why the US Bureau of Labor Statistics predicts a 24% growth in the employment of network admins in computer-related services from 2018-2028.
Network admins’ job is to provide optimal network solutions for organizations. There is a lot of work involved in providing optimal network solutions. That includes installing, configuring, upgrading, and troubleshooting network and network devices. Monitoring the network for security breaches also falls under their job description.
To become a network admin, you should be familiar with these things.
A degree in computer science, engineering, or another computer-related field, or a cisco networking certification could be helpful in the long run
As another job under the data science umbrella, data engineers are placed sixth in Glassdoor’s Best Jobs in America for 2020. It is followed by the high job demand and lucrative salary inherent to most data science jobs. So why not make it your dream to become a data engineer in 2020?
Their job is in the name itself, engineering data. Data engineers are responsible for collecting, storing, moving, and preparing data. Like ML engineers, data engineers are programming experts, but they are not expected to know about machine learning and other modeling tactics. Their focus solely lies on preparing the infrastructure required for data science tasks. That is, creating data pipelines to collect and store a large amount of data in databases and running ETL (extract, transform, load) tasks on top of that data.
What do you need to know to become a data scientist?
Voted the fastest-growing major programming language by StackOverflow users in 2019, becoming a Python developer is one of the best paths a person getting into software development can choose to follow.
What does becoming a Python developer entail? Not exactly one thing. Python is used for almost all the programming tasks, so there are a few fields that a Python developer can end up in. Some end up as web developers and develop backend components for web applications in Python. Some others get into data science given how popular Python is in data science. You can also complete automation tasks by implementing Python scripts for organizations. Python code testing is another field that you can end up in.
Now you see how many choices a Python developer has in career opportunities. That’s why Python developers often don’t limit themselves to jobs titled “Python developer”. Their job titles vary from software engineers, data scientists, and automation testing engineers to web developers. If you pursue a career as a Python developer you cannot simply go wrong.
What you should essentially know to become a Python developer:
Read more about the role of Python Developer in our full article.
When web developers focus on how a website works, web designers focus on how the website looks. Their job is to deliver an aesthetically pleasing, user-friendly website. Looking at how fast websites and their designs evolve by the day, demand for web designers is set to rise for a long time to come.
To become a web designer, you should,
Opportunities in tech are big. Not only will you be working at the forefront of innovation, but you will also be finding yourself in a position of job security and financial growth prospects. The demand for tech professionals only continues to grow and will challenge those who have do not keep abreast with our rapidly changing economic and business environments.
If you have found something which may interest you, why not read our detailed articles which we have linked to above, or read some or our expert course reviews and jump right in to learning.