7 Jobs You Can Get Knowing Python

Learning Python can open the door to many career opportunities in tech. If you’re wondering which jobs you can get knowing Python, the list may surprise you.

Python is one of the most popular languages for those interested in pursuing a career in software development. With its versatility and ease in creating a variety of applications, it is a key skill to have in your developer toolkit. 

For those interested in a career in software development, Python is often a great choice for their first language. The language was designed to use plain English for ease of understanding and supported by an active community. In addition to the almost limitless number of available free resources, tutorials, and accelerated learning courses, Python is easy to learn and use.

Now that you know how easy it can be to learn, here are our top 7 jobs you can get knowing Python:

Python Developer

Python developers are responsible for the coding, designing, deploying, and debugging of development projects, typically on the server side (or back end).

They specialize in Python and its frameworks such as Flask or Django for web development, TensorFlow and NLTK, PySpark for machine learning, and Pandas, NumPy, and SciPy for data science.

How do they use Python?

From building websites and applications to running deep learning algorithms to analyzing data, Python Developers leverage the versatility of Python to solve problems and answer questions. They use Python to crunch data, develop web application back ends, and automate scripts. 

What is the salary?

The national average is $130,052 per year (as of Feb 2023).

Full Stack Developer

Full Stack Developers use their knowledge of both front end and back end programming languages to design, develop, and maintain full-fledged and functioning platforms with databases and servers.

How do they use Python?

For Full Stack Developers, Python is primarily used as a back end language to manage servers and databases. Full Stack Developers typically leverage frameworks like Flask or Django with Python to make it easier to build out fully functional applications by taking development in the front end and combining it with the back end.

What is the salary?

The national average is $104,564 per year (as of Feb 2023).

Data Scientist / Data Analyst

Data Scientists and Data Analysts are big data wranglers, gathering and analyzing large sets of structured and unstructured data. These roles combine computer science, statistics, and mathematics. They analyze, process, and model data and then interpret the results to create actionable, data-driven plans for companies and other organizations.

How do they use Python?

Data Scientists and Data Analysts mainly use Python and its frameworks to create predictive models, use machine learning techniques to improve data quality and find patterns and trends to uncover insights. They also create algorithms and data models to forecast outcomes.

What is the salary?

The national average is $123,821 per year (as of Feb 2023).

Data Engineer

A Data Engineer is an IT worker whose primary job is to prepare data for analytical or operational uses. These engineers are typically responsible for building data pipelines to bring together information from different source systems.

How do they use Python?

Data Engineers use Python to create Data Pipelines, set up Statistical Models, and perform thorough analyses.

Python packages used in Data Engineering often include:

• Pandas – used in data aggregation and data cleaning
• NumPy – used in data analysis 
• (Py) Spark – used to handle big data and leverages Spark ML for machine learning 
• TensorFlow – used in AI training and inference of deep neural networks
• Natural Language Toolkit (NLTK) – used to make natural human language usable by computer programs

What is the salary?

The national average is $122,672 per year (as of Feb 2023).

Machine Learning Engineer

Machine Learning Engineers build AI systems that use large sets of data to automate predictive models and ensure they work according to requirements.

Projects that Machine Learning Engineers work on include recommended searches, virtual assistants, translation apps, chatbots, and self-driving cars.

How do they use Python?

Machine Learning Engineers use Python and its libraries such as TensorFlow and PySpark to develop predictive modeling.

What is the salary?

The national average is $142,306 per year (as of Feb 2023).

Product Manager

Product Managers are responsible for identifying customer needs and maintaining the business objectives that a product or feature should fulfill.

How do they use Python?

Data plays a crucial role in the work that Product Managers do. They use Python to research new features and products and make the case as to why certain features or products should be built and implemented into an existing product.

Being able to automate reports and analysis makes Product Managers less dependent on the Data Science team and refine processes to leverage data-driven insights to solve problems.

What is the salary?

The national average is $99,120 per year (as of Feb 2023).

Performance Marketer

Performance Marketers are responsible for managing digital accounts such as Google Ads and Facebook Ads to get the right channel mixes and drive key performance indicators for marketing.

How do they use Python?

Performance Marketers use Python for data reporting automation and analysis. These are leveraged to obtain the latest information about trends and markets when making decisions within accounts.

What is the salary?

The national average is $77,353 per year (as of Feb 2023).

Get Started Learning Python

Interested in one of these career paths, but lacking the Python skill to land a job? Get industry-ready in as little as 15 weeks with an accelerated Flatiron School Software Engineering program. 

Apply Today to jumpstart your career in tech.

Or, test out the curriculum with our Free Software Engineering Prep – no strings attached. 

Disclaimer: The information in this blog is current as of February 8, 2023. Current policies, offerings, procedures, and programs may differ.