What jobs can you get as a Python Developer

Python is now a widely used programming language. Hundreds of today’s most successful internet businesses, like Instagram, Netflix, Reddit, Lyft, Google, and Spotify, use Python, if you haven’t noticed. However, the New York Times, Bloomberg, and even your local bank are using it.

Python provides a lot of distinct options for finding interesting job. While some of those prospective employment may seem clear, such as becoming a Python developer, others that would benefit from understanding Python are less obvious.

Python is without a doubt one of the best programming languages to learn if you’re looking to advance your profession. Here are a few jobs that are ideal for Python-skilled job applicants.

Entry-Level Python Jobs


If you’re looking to leverage Python skills into an entry-level tech job, entry-level software developer positions are a great place to start. 

While junior front end developer jobs (those that use HTML/CSS and JavaScript) are frequently freelance work for individual clients, software developer jobs typically entail working on a development team for a larger tech firm.

Entry-level software developers are junior members of these teams who construct, test, and iterate versions of a software product under the supervision of experienced managers. Of course, producing software does not necessarily necessitate the usage of Python, but it is a widely used language in the industry. This means that knowing Python and having expertise with it will help you acquire your first software developer job.

Job Duties Include:

  • Assisting with writing, editing, and maintaining software programs
  • Testing code—running programs (often controlled with Python scripts) to test code for errors
  • Debugging code—analyzing code errors and fixing them
  • Code documentation—tracking version changes and logging errors

Non-Python Skills to Have:

  • JavaScript
  • React JS
  • PHP
  • Ruby

Average Salary: $52,491


Another entry-level career in technology is Quality Assurance Engineer…especially if you know your way around Python. QA Engineers don’t build software; instead, they test it, which is why knowing Python is so vital for getting one of these jobs. Python’s golden touch for all things automation-related has made it a common language in software testing.

Job Duties Include:

  • Creating software test plans and test cases
  • Developing and executing automation scripts using open source tools (like Python)
  • Documenting and tracking software bugs
  • Monitoring debugging process results

Non-Python Skills to Have:

  • SQL
  • JavaScript
  • Understanding of best software testing practices
  • Ability and willingness to stay up to date on testing trends and methodologies

Average Salary: $61,459


Junior Python Developer is one of the more obvious roles on this list. It’s literally an entry-level web developer who specializes in using Python to do things like:

  • build the back end infrastructure of websites and mobile applications
  • connect applications with third party web services
  • integrate a site or app’s back end with its front end technologies.

What differentiates this role from the software developer gig described above? For this job, the focus is entirely on Python and the Python-related aspects of a development project. 

Job Duties Include:

  • Writing reusable, testable, and efficient Python code
  • Integrating a product’s front end/user facing elements with back end/server side infrastructure
  • Implementing website or application security and data protection
  • Integrating website or application data storage solutions 

Non-Python Skills to Have: 

  • Familiarity with Python web frameworks (Django, Flask, Pyramid)
  • Understanding of server-side templating languages (e.g. Jinja 2, Mako, Chameleon)
  • Basic knowledge of front end languages (HTML, CSS, JavaScript)
  • Testing and debugging skills

Average Salary: $80,994


The role of Python Full Stack Developer falls in between entry-level and mid-level. Yes, it is possible to enter the workforce in a full stack capacity, however the quantity of abilities required for full stack favors developers with some professional experience.

What is full stack? For a quick refresher, full stack web developers are programmers with a full complement of front end and back end skills. That means, along with knowing how to use Python (and probably languages like SQL and PHP) on the back end, a full stack Python developer is equally at home building front end code with HTML, CSS, and JavaScript. 

Job Duties Include:

  • Developing front end website architecture (using programming languages like HTML, CSS, and JavaScript)
  • Developing back end website infrastructure (using programming languages like Python, PHP, and Rails)
  • Creating servers and databases 
  • Designing and developing APIs.

Non-Python Skills Include: 

  • JavaScript
  • React JS
  • Node JS
  • PHP 
  • Ruby on Rails
  • SQL

Average Salary: $109.835


Python’s functionality is one of its most distinguishing features. Yes, Python, like other coding languages, may be used to transition into common developer roles. Python, on the other hand, can lead to work in less obvious places. A good example is Geographic Information Systems (GIS).

GIS is a system for capturing, storing, analyzing, and managing spatial or geographic data that is utilized by research institutes, environmental scientists, health organizations, land use planners, corporations, and government agencies. Users can use this data to make maps, research demographic groups, model environmental consequences, and improve transportation and housing infrastructures, among other things.

Python’s scripting prowess allows GIS users to streamline their data analysis and management by removing redundancies and automating the process. And that’s why the developers of ArcGIS (an industry-standard GIS platform) have fully embraced Python as their language of choice for GIS work. It also means that Python skills are key to landing a job if you’re interested in GIS. GIS analyst is an entry-level position that involves studying and analyzing data collected and stored by GIS systems.

Job Duties Include:

  • Analyzing spatial data through the use of mapping software.
  • Discovering patterns and trends through spatial mapping of data.
  • Designing digital maps with geographic data and other data sources.
  • Developing mapping applications and tools.
  • Managing a digital library of geographic maps in various file types.

Non-Python Skills to Have:

  • Background in Geography, Surveying, Engineering or a related field.
  • SQL
  • Proficiency in front end languages (HTML, CSS, JavaScript) 
  • Experience with mapping tools such as ArcGIS, QGIS, and Carto.
  • Experience with GPS measuring tools.

Average Salary: $50,000

Mid-to-Senior Level Python Jobs


Coming back the more familiar terrain of developer jobs, we land on Senior Python Developer. This is really just the mid-to-senior-level variant of a junior Python developer. Again, these are back end developers with a focus on Python, but who have 3-5 years of experience on their resume. Senior Python Developers are usually less involved in hands-on scripting and coding, and more likely to be leading a team or project managing. 

Job Duties Include:

  • Building efficient back end features in Python
  • Integrating front end components into applications
  • Managing and overseeing testing and bug fixes
  • Preparing technical documentation of development projects
  • Coaching and managing junior team members

Non-Python Skills to Have:

  • 3-5 years of Python development experience
  • Strong organizational and project management skills.
  • Proficiency with fundamental front end languages (HTML, CSS and JavaScript).
  • Familiarity with JavaScript frameworks (React JS, AngularVue JS)
  • Proficiency with additional server side languages (Ruby, Java, PHP)
  • Familiarity with database technology (MySQLOracleMongoDB)

Average Salary: $117,822


Data Scientists are mid- to senior-level professionals that analyse and extract meaning from large amounts of data. Data scientists have backgrounds in mathematics, statistics, computer science, or other quantitative fields. It’s a broad title with a wide range of specifics, but in general, they have a background in mathematics, statistics, computer science, or other quantitative fields. They mine a company’s data to uncover patterns, make forecasts, and steer the direction of a product depending on what they learn from their audience and the general public.

Because of Python’s ability to automate and analyze data fields, it’s become the premier programming language used in the data science profession—in other words, you probably don’t have much of a shot of working in data science without knowing how to use Python. If you’re trying to find a way to combine Python skills with a background or interest in math or science, this is the field for you.

Job Duties Include:

  • Mining and analyzing data from company databases
  • Assessing the effectiveness and accuracy of data sources and data gathering techniques
  • Developing custom data models and algorithms to apply to data fields
  • Using predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes 
  • Developing processes and tools to monitor and analyze model performance and data accuracy

Non-Python Skills to Have:

  • Experience with data science toolkits (RWekaNumPy, MatLab) 
  • Experience with data visualisation tools (D3.js, GGplot)
  • Proficiency in using query languages (SQL, Hive, Pig)
  • Experience with NoSQL databases (MongoDB, CassandraHBase)
  • Good applied statistics skills (distributions, statistical testing, regression)

Average Salary: $121,031


Machine Learning Engineer is another mid-to-senior level, hard science-based Python role. ML  Engineers develop machines, software programs, and other computer systems capable of “learning” and applying learned knowledge without specific instructions. That’s right: artificial intelligence. But it’s not science fiction—this is the real kind of work people can do with Python, since Python’s ability to handle algorithms and data automation make it a natural programming tool for machine learning.

ML engineering is considerably less penetrable than some of the other Python roles covered here—ML Engineers often have deep mathematical and computer science backgrounds that can include college degrees, but it’s important to see the scope of jobs Python is capable of unlocking. 

Job Duties Include:

  • Understanding computer science fundamentals (data structures, algorithms, computability and complexity)
  • Performing advanced computations and working with algorithms
  • Collaborating with data scientists to build data models
  • Building algorithms based on statistical modelling procedures 
  • Applying machine learning algorithms and libraries

Non-Python Skills to Have:

  • Understanding of data structures, data modeling and software architecture
  • Deep knowledge of math, probability, statistics ,and algorithms
  • Ability to write extensive code in Java and R (in addition to Python)
  • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
  • BS in Computer Science, Mathematics or similar field; Master’s degree is a plus

Average Salary: $141,029

Is Python Enough To Get A Job?

No. Just Python will not be enough to land a job. You need 5 more things.

1. Companies don’t hire a Python dev. They hire a problem-solver.

If you have learned X and can’t do Y with the concepts you learned from X, you will not get hired. It’s impossible to know what problems you have to solve when you get hired or what problem you will be solving 2/3 years from now. That’s why companies look for people who can take any problem and solve it by using coding techniques.

For example, you have learned the dictionary data structure. Now, if I give you a new situation (car dealership, book club, grocery store, or bank software, etc.) and you don’t know how to use the dictionary data structure in that situation, you will not get hired.


  1. Don’t just learn coding. Pay attention to why you are doing certain things. What else you could do to solve the problem.
  2. Solve as many problems as possible.

2. Companies don’t hire a single skill. They hire a set of skills.

Don’t only learn python, either. Instead, you’ll need to brush up on other programming languages. You don’t need to be an expert at them. You must, however, have a basic understanding of the subject.

  1. To build web development using python, you need to know HTML, CSS, and Javascript. Without your basic understanding in HTML, CSS, and Javascript you won’t be able to master in python frameworks like Django, Flask, etc.
  2. You must learn a little bit about Database (SQL). How to structure a table. How to query data from a table. How to join data from two tables.
  3. If you want to become a Machine learning developer, you need to know the basics of Mathematical modeling, how to train a model and what are the different modeling approaches.
  4. Also, you could be just the front-end developer or the just database guy. However, you need to know how the full-stack software development works. How front-end, back-end, and database are connected.

3. Don’t just learn Python. Learn the overall Software Development process.

Unfortunately, most of the companies don’t want to spend time to train you about the overall software development process. That’s why you will hear companies are looking for X years of experience. To compete with that requirement…


  1. Build full-scale projects. Have at least 3 projects on your Github
  2. Don’t just copy the project from somewhere. Instead, try to build them yourself. While developing the project, you will get stuck numerous times. Try to find out solutions online. Struggles to find out the solution will make you a better developer.
  3. Deploy your projects on some servers. It could be Heroku or somewhere else.
  4. Get familiar with popular Python frameworks like Numpy, Pandas, Srapy, Django, etc. Play with those. Use them in some projects
  5. Write unit tests. Put enough comments on your code. Know how to organize code. Find out Python best practices like PEP 8 — Style Guide
  6. Master at least one IDE. Learn keyboard shortcuts.

4. Don’t submit your profile. Submit the profile they want.

Just before applying for the interview, make sure you have a good resume, updated LinkedIn profile. Then you should spend time to prepare for the interview.

Google and learn Python interview questions. If possible, buy a whiteboard and practice your answers on the whiteboard. If you don’t have a whiteboard write code on a paper.

Also, companies don’t care how great is your resume. If your resume doesn’t have 9 out of 10 things they are looking for, they will trash your resume.

So, before you apply for a new job, think about it. Make sure your CV includes the majority of the information they want. Even if you simply googled each issue and spent two hours researching each one. If you are called for an interview, you should spend more attention to such areas in order to do well in the interview.

5. Don’t be hard core. Fake some soft skills as well.

To get hired you will need soft skills as well. Huh!!!

One truth is- you don’t have to be great in soft skills. You can just Google some answers and tell them in the interview. Just learn the following answers-

  1. What is your biggest weakness?
  2. Why should we hire you?
  3. If you don’t like a decision made by your boss what will you do?
  4. How will you resolve a conflict with your team members?
  5. Did you ever miss a deadline? What did you do?
  6. Is there any time of your life when you failed/ get embarrassed? How did you handle the situation?

It took almost 6 months for me to land my first job. Most of my friends got a job in one or two months. So, that time I was frustrated but I kept trying.

So don’t be worried if everyone else is being hired while you are still hunting. Just make sure you spend an hour after each rejection figuring out what you could have done differently to get hired. Then devote the following 3–4 days to honing your skills in that area.

If you keep doing this, you will become so good at all these things that you will get promoted before your friends get their first salary raise.

Final Thoughts

Python is no longer just for computer programmers. At One Month, we’ve noticed an increased demand for our Python course from financial analysts, entrepreneurs, sales, and marketing professionals. We’ve even had a few lawyers! Looking forward it’s clear: Python is here to stay.

Leave a Comment