Choosing which programming language to specialize in is a moment that can really define your career. Whether you’re a newbie or you’re picking up a second language, you need to know which ones are most in demand and what you can do with them. That’s why we’re doing a series on the top jobs for the most common programming languages, starting with Python.
There are so many programming languages out there, but for anyone who wants to break into the world of engineering, knowledge of Python can open a lot of doors. The beauty of Python is that it’s general, meaning that there are a number of career paths. At the same time, this can be a bit overwhelming.
Not to worry. Whether you’re just starting your career or you’re in need of a change, we’ve broken down five brilliant jobs you can consider if you decide to learn Python.
GIS (Geographic Information Systems) analysts work in the place where data analysis meets programming meets cartography. Their primary duties include analyzing spatial data through mapping software and designing digital maps with geographic data and various other data sets. So where does Python come in? Well, Python’s scripting prowess allows GIS users to streamline their data analysis and management by removing redundancies and automating the process.
The role of a software developer engages in identifying, designing, installing and testing a software system they’ve built for a company from the ground up. It can range from creating internal programmes that can help businesses be more efficient to producing systems that can be sold. When software developers deliver a software system, they also maintain and update the programme to ensure that all security problems are fixed, and it operates with new databases. Python is a common language used in the software development process, making knowledge of the language key to landing a job as a software developer.
Quality Assurance Engineer
A QA engineer is responsible for the creation of tests to identify issues with software before a product launch. QA Engineers identify and analyze any bugs and errors found during the test phase and document them for review after. Other tasks include developing and running new tests, reporting on the results and collaborating with software developers to fix program issues. Depending on the internal organizational structure, QA engineers may progress to a managerial or executive position. Proficiency in computer programming languages like Python is a must for a QA role, along with extensive experience in software development and testing.
Full Stack Developer
A Full Stack Developer is someone who works with the Back End of an application as well as the Front End. Full Stack Developers have to have some skills in a wide variety of coding niches, from databases to graphic design and UI/UX management in order to do their job well. They’re something of a ‘Jack of all trades’, ready to help wherever needed in the process. The Full Stack Engineer job description usually includes using a range of different technologies and languages to develop applications. Full Stack Developers approach software holistically since they cater to both user experience and functionality.
Machine Learning Engineer
A machine learning engineer is the person in IT who focuses on researching, building and designing self-running artificial intelligence systems to automate predictive models. Machine learning engineers design and create the AI algorithms capable of learning and making predictions that define machine learning. Or, if you’re already a machine learning specialist, consider how you can transition your skills to deep learning.
These are just a few things you can do with Python skills but there are so many options out there and new applications being created every day. Check out our job board to see the hottest python jobs open now or set up a job alert to get fresh new jobs as they go on the market.
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