Python jobs involve a wide variety of job titles like software developer, machine learning engineer, and a plethora of programming professionals. Python is the most popular object oriented programming language that has a variety of features for tasks such as building database management systems, running artificial intelligence, and deep learning.
The article discusses what Python job professionals do, how much Python jobs pay, as well as the different types of Python jobs you can apply for. In addition, it tackles the steps and the skills you need so you can get hired for the Python job that you want.
What Is Python?
Python is a popular programming language capable of high-level development projects such as application development and building operating systems. Furthermore, a wide variety of python functions guarantee dynamic code readability and minimal software maintenance.
The general-purpose programming language was created by Dutch computer programmer Guido Van Rossum. Python was first released in 1991 and has since grown in demand as one of the leading programming languages in the world. The name Python was not named after the animal, it was named after an old BBC comedy show titled Monty Python’s Flying Circus.
What Do Python Professionals Do?
Since Python is a programming language, professionals with this skill can be software engineers, data scientists, or code editors. Conventional tasks typically include creating scripts, building websites, and maintaining server integrity.
- Debug lines of code. The process of debugging detects and removes any potential errors from the code to ensure that the software is ready for the production environment stage. This is important because the code must be error-free to smoothly operate.
- Create software applications. Python professionals use their programming skills to create software applications for various purposes. They can make mobile applications or computer software programs that can benefit individual users or organizations.
- Web development. Python professionals develop and maintain sites for functionality and efficiency. They also routinely inspect the site for troubleshooting purposes.
- Run database management systems. Using their data science skills, Python professionals protect, organize, and preserve a company’s data structure. They also are capable of building large databases that aid businesses’ in data gathering and management.
- Build new tools. A Python professional may also be tasked to create a variety of features with new Python functions that’ll boost an organization’s productivity. They can use the variety of features that Python offers to make new and innovative tools that help people and organizations.
How Much Do Python Professionals Make?
A Python professional, on average, makes roughly $30 per hour. The salary for Python professionals is substantial and rewarding, considering the work and expertise they put into their craft. As is common for salaries in the information technology industry, the salaries for Python professionals are financially viable and worthwhile.
Python Jobs Average Salaries
According to Payscale, Python developers make an average of $79,395, per year. However, entry-level Python developers earn an average salary of $51,000, while senior Python developers earn an average salary of about $107,000.
What Is the Job Growth for Python Jobs?
According to the US Bureau of Labor Statistics, job growth for software developers is expected to increase by 22 percent within the next decade. Moreover, it’s anticipated that there will be 189,200 new job openings for this field. This is great for aspiring Python professionals as the data shows more employers are offering various types of software development jobs.
The Highest-Paying Types of Python Jobs in 2022
- Artificial Intelligence (AI) Specialist | $135,238
- Solutions Architect | $120,756
- Machine Learning Engineer | $112,343
- Analytics Manager | $99,121
- Data Scientist | $97,004
- Data Engineer | $92,999
- Software Engineer | $88,280
- Backend Developer | $87,009
- Computer Scientist | $81,812
- Front End Developer | $76,289
All Python programming jobs involve a heavy use of and reliance on coding and data management and analytics. Python developers’ salaries vary with the complexity of work to the knowledgeability of the computer expert.
Moreover, these roles require extensive knowledge of Python and certain educational requirements. These are the highest-paid jobs due to the intricate work nature that involves top-level critical thinking and superior coding skills. Learn more about these positions below.
Artificial Intelligence (AI) Specialist
- Average Salary: $135,238
Artificial intelligence specialists offer their in-depth knowledge in AI to companies by building innovative and creative methods that can be implemented into different business processes. One example is machine learning, where AI specialists develop a self-learning computer system through the use of data to improve the process of data analytics.
Solutions Architect
- Average Salary: $120,756
Solutions architects build functional and realistic technical solutions for businesses’ problems and goals. They act within a technological framework of company objectives then develop practical results through data testing. Furthermore, they ensure efficiency and stability in management systems and databases for productive business processes.
Machine Learning Engineer
- Average Salary: $112,343
Machine learning engineers specialize in the development of algorithms to automate the data gathering and analysis processes. They make systems that use predictive analysis to forecast any possible development or change in the business and its environment.
Machine learning is a sub-branch of the broad field of artificial intelligence. The difference between machine learning engineers and artificial intelligence specialists is machine learning engineers focus on machine learning only, whereas AI specialists cover a broader range of AI machinery and structures.
Analytics Manager
- Average Salary: $99,121
Analytics managers’ responsibilities include making analytical systems to further enhance the synthesis of data. Moreover, they measure a company’s performance through various metrics that they analyze and evaluate. They also develop different analytical steps and processes to help the business with any inquiry or investigation.
Data Scientist
- Average Salary: $97,004
Those who want to become data scientists will gather and analyze large sets of data to be interpreted into cohesive and logical results. Data scientists also create data processing tools, structures, and frameworks for companies to further improve their data-gathering capabilities. Furthermore, they filter and organize these sets of data to be presented to stakeholders.
Data Engineer
- Average Salary: $92,999
Data engineers are responsible for creating and maintaining computer algorithms that deal with large data sets. They must be proficient in database management and various coding languages. Moreover, they’re also tasked with documenting the performance of specific algorithms and data structures, ensuring they’re optimized to their full potential.
Software Engineer
- Average Salary: $88,280
Software engineers typically work in both the development and design stages of software building. They’re in charge of creating and integrating software functions that improve the performance of a computer system. They may also be a project manager collaborating with a software development team to guide them through the project.
Backend Developer
- Average Salary: $87,009
Backend developers are essential in the maintenance of an organization’s computer system and database. They monitor the performance of computer algorithms to provide optimized and seamless processes. Also, they integrate different computer system components and combine them to provide a more efficient framework overall.
Computer Scientist
- Average Salary: $81,812
Computer scientists use their expertise in computer science to develop computer tools that aid and promote better functions inside an organization. They build databases, computer software structures, and system servers that provide work stability. In addition, they also work with teams to help them in developing certain algorithms and data frameworks.
Front End Developer
- Average Salary: $76,289
Front end developers are tasked with handling different variables of user interface (UI) and user experience (UX) to enhance the software or application. They are responsible for maintaining the software or application that the companies’ users or consumers see. They debug, scale, and improve the code to ensure that it’s error-free.
The main difference between front end developers and backend developers is the systems that they work on. Front end developers work on what users see, particularly the UI/UX. On the other hand, backend developers work behind the scenes, they deal with the data gathering algorithms and software processes that make the application or program consistent.
Python Professional Career Path
Python professionals’ career path options are straightforward. You should aim at getting a computer or IT-related college degree, sharpen your skills, gain work experience, and network with like-minded individuals.
- Get a degree. Firstly, try and get a bachelor’s degree in computer science, software engineering, or other computer-related courses. This will become your groundwork in pursuing a professional career as a Python developer.
- Hone your technical and soft skills. Study how to learn Python as a coding skill, then build your other skills from there. It is also important to enhance your soft skills in communication, team collaboration, and leadership to earn a high-paying role.
- Enroll in python coding bootcamps. You can be a certified Python developer by attending Python coding bootcamps. These programs can jumpstart your career in coding as they are jam-packed courses with intense training to improve your Python skills rapidly.
- Get related work experience. The jobs available for Python developers are wide and varied. You can get related work as a software developer or engineer. These types of workers are highly sought after by employers so you need not worry about job displacement or insecurity.
- Connect with other Python developers. Find and connect with Python developers through social media platforms or online forums. You can join a site like Stack Overflow, which is a coder and developer forum that provides a lot of answers about the coding industry.
Should You Become a Python Professional?
If you want to be a coding professional, then yes, you should become a Python expert. The compensation for Python developers is substantial. The salary, coupled with a great job outlook, means that you don’t have to worry about fair compensation and job security. The coding industry is still rapidly growing so you don’t need to worry about job market saturation.
Python is one of the most in-demand programming languages in the world so employers are always looking for new Python professionals. Moreover, the learning path is easy as there are online learning platforms that offer a variety of courses to hone your Python programming skills, so you can get started on this career path today.
Types of Python Careers FAQ
Yes, a coding bootcamp can land you a Python job. There are free coding bootcamps you can try out before fully committing to a paid coding bootcamp. Also, there are many great companies that hire coding bootcamp graduates so you don’t have to worry about finding a job.
Python is used for many purposes like game development, robotics, hacking, automation, and more. Python can also be used to create different types of computer software or mobile applications due to its many coding and web-building features.
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Python became a popular coding language due to its ease of use and easy-to-learn nature. Developers have grown fond of using Python because of its ability to create complex web systems and compile data science information, as well as its capabilities of handling artificial intelligence and machine learning.
According to Payscale reviews made by Python developers, they’re highly satisfied with their work and work environment. These professionals often enjoy high salaries, excellent benefits, and the ability to work remotely, which all contribute to high satisfaction rates.
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