Hire Python developers pre-screened for technical and cultural fit

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Python
 
developers
in U.S. time zones and provide support with payroll, taxes, local compliance, and access to best-in-class benefits.

Get added peace of mind with Revelo’s risk-free trial. If you’re not satisfied with your hire within the first 14 days: You pay nothing, and we’ll find you a new candidate at no additional cost.

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Hire the Top 1% of Python developers

Vanessa F.

Back-end Developer
Mountain Timezone

Experience

8 years

AVAILABILITY

Full-time

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Vanessa F.

Angelo L.

Back-end Developer
Central Timezone

Experience

12 years

AVAILABILITY

Full-time

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Angelo L.

Milena R.

Back-end Developer
Eastern Timezone + 1

Experience

5 years

AVAILABILITY

Full-time

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Milena R.

Cesar R.

Fullstack Developer
Eastern Timezone + 1

Experience

11 years

AVAILABILITY

Full-time

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Cesar R.

Isadora F.

Front-end Developer
Eastern Timezone

Experience

11 years

AVAILABILITY

Full-time

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Isadora F.

Nicolás F.

Fullstack Developer
Eastern Timezone

Experience

5 years

AVAILABILITY

Full-time

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Nicolás F.

Diego S.

Back-end Developer
Mountain Timezone

Experience

7 years

AVAILABILITY

Full-time

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Diego S.

Vânia M.

Fullstack Developer
Central Timezone

Experience

11 years

AVAILABILITY

Full-time

Hire
Vânia M.

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Access Revelo's talent pool of Python developers with technical expertise across Libraries, APIs, Platforms, Frameworks, and Databases

Libraries

TensorFlow | Requests | Pandas | Numpy | PyTorch | Keras | Theano | Matplotlib | SciPy | Pillow

Frameworks

Django | Flask | web2py | Bottle | CherryPy | AIOHTTP | Growler | Falcon | Pyramid

APIs

FastAPI | Facebook API | Django REST | Google API | Jira REST API | GitHub API | SoundCloud API

Platforms

Amazon Web Services (AWS) | Google Cloud Platform (GCP) | Linux | Docker | Heroku | Firebase | Digital Ocean | Oracle | Kubernetes | Dapr | Azure | AWS Lambda | Redux

Databases

MongoDB | PostgreSQL | MySQL | Redis | SQLite | MariaDB | Microsoft SQL Server

Tips for Hiring Python developers

Python is an incredibly popular programming language. Since its introduction in 1991, Python has only increased in popularity, serving as a primary language for many developers and businesses. Python allows developers to deliver software concepts quickly and efficiently. Developers employ Python to build applications, websites, and other software projects across several industries. Companies also use it to run data analytics as part of their project management framework.

Despite its prevalence, there are some challenges involved in hiring Python developers. Supply and demand are the most significant challenges, with the demand outweighing the supply in most cases. Businesses in e-commerce or brick-and-mortar locations, in particular, amplify this challenge by restricting their search to local tech talent.

What Is Python?

Python is one of many back-end programming languages and the language of choice for many well-known corporations, including Netflix, Spotify, Intel, NASA, and Google. Engineers at Google use the Python language in most of YouTube's design.

Python stands out because of its object-oriented, semantic-infused, and high-level programming dynamics. Due to the increased productivity that Python offers—thanks partly to its lack of compilation—developers commonly favor it over other languages. It has a quick edit-test-debugging method and creates various programs and software.

It's a general-purpose language, making it versatile in several ways. Python has an easy learning curve, allowing developers to pick it up quickly. Though adaptable, it's commonly used to create websites and software and for task automation, data visualization, and analysis. In addition to programmers and software engineers, accountants in fintech use Python to handle daily tasks, including financial organization.

Why Python?

Python development is useful because of its simplicity and versatility, allowing rapid app development and testing. Its readability and ease of use make it a preferred choice for businesses, especially start-ups, to quickly turn ideas into working solutions. Python's extensive libraries and frameworks expedite the development process, whether that involves web development, data analysis, or artificial intelligence.

Additionally, Python is instrumental in data-driven decision-making, a crucial process for modern software development. It's well-suited for data analysis, visualization, and machine learning, enabling companies to derive valuable insights from their data. With Python, businesses automate repetitive tasks, optimize operations, and create predictive models to stay ahead.

For example, companies use Python's powerful libraries like Pandas for data analysis to understand market trends or Django for web development to create robust and scalable websites. When it comes to artificial intelligence, Python's TensorFlow and PyTorch frameworks are invaluable for developing machine learning models that assist in predicting customer behaviors or automating routine tasks.

Python's versatility shines across various industries. Consider these applications:

  • A retail company uses Python's machine learning libraries to predict customer buying trends and manage inventory efficiently.
  • A finance firm leverages Python for real-time analytics and automates trading actions.
  • A healthcare organization uses Python to develop algorithms for early diagnosis of diseases, significantly impacting patient care.
Python extracts, analyzes, and tabulates data from complex CSV files.
Figure 1: Python extracts, analyzes, and tabulates data from complex CSV files.

Benefits of Python

Python branches out across various facets of development, including automation, scripting, back-end and front-end development, full-stack development, and mobile application development. Its versatility, robust frameworks, and supportive community allow developers to tackle various projects, enhancing productivity and technical innovation. It especially contributes to:

  • Automation: Python's scripting capabilities simplify repetitive tasks, freeing up time for more complex project components.
  • Scripting: Python excels in scripting, allowing developers to write scripts to automate tasks, test frameworks, and handle data analysis efficiently.
  • Back-End Development: For back-end development, Python's frameworks like Django and Flask are powerful tools that streamline the process, ensuring a strong foundation for web applications.
  • Front-End Interaction: While not a front-end language, Python interacts easily with front-end technologies, aiding in full-stack development and ensuring seamless integration between front and back-end.
  • Mobile Applications: With frameworks like Kivy, Python is used in mobile application development, providing a unified experience across platforms.
  • Community: The Python community actively shares best practices, support, and innovations.

What Does a Python Developer Do?

Python developers work to create, design, and deliver software, applications, websites, and other services using the Python language. They work on a software development team and collaborate between team members and other departments. Python developers are also responsible for testing code and identifying and correcting defects in Python environments.

Their core responsibilities may include:

  • Writing reusable, testable, and effective Python code
  • Integrating data storage solutions
  • Building integrative systems
  • Implementing user-facing elements
  • Understanding end-user requirements
  • Creating back-end components
  • Improving responsiveness and overall performance
  • Implementing security and data protection

Required Skills and Qualifications

When hiring Python developers, prioritize a well-rounded skill set combining technical proficiency and interpersonal strengths. Key hard skills to look out for include a deep understanding of Python, web frameworks like Django and Flask, and front-end technologies like HTML. Experience in app development, especially on Android and iOS platforms, is also invaluable, primarily when devising APIs for these applications. Expertise in AWS boosts cloud efficiency, while hands-on experience with Pandas and NumPy aids in data work.

Beyond these technicalities, soft skills are indispensable in shaping a competent Python developer. Problem-solving is at the forefront, with a keen ability to troubleshoot issues efficiently. Communication and teamwork skills are paramount, allowing developers to clearly articulate ideas and solutions to technical and non-technical stakeholders.

A potential hire's educational background and certifications are tangible indicators of their expertise. Most employers prefer candidates with a bachelor’s or master’s degree in computer science or a related field because these degrees offer important foundational knowledge. Certifications like the Microsoft Certified: Python Developer Associate further highlight a candidate’s technical skills.

Using Flask, Python can create a basic web application that generates a user commenting system.
Figure 2: Using Flask, Python can create a basic web application that generates a user commenting system.

Popular Python-Related Languages and Libraries

For a Python developer, knowing related languages or technologies is beneficial for versatility and tackling a broader range of projects. At the same time, knowing related libraries is also helpful for faster and simpler coding.

Related Languages

  • JavaScript: A high-level programming language crucial for front-end development, enabling the creation of interactive elements on websites.
  • R: This is a go-to language for data analysis and statistical computing. Python developers working in data science might encounter R, especially in academic and research settings.
  • C/C++: Python is often integrated with C/C++ for performance optimization. Knowing these languages allows Python developers to write extensions or work with system-level tasks more efficiently.

Related Libraries

  • NumPy: A library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a collection of mathematical functions to operate on these arrays.
  • Pandas: A Python library that provides essential data analysis capabilities out of the box.
  • TensorFlow/PyTorch: Both are leading libraries for deep learning. TensorFlow, developed by Google, and PyTorch, developed by Facebook, are extensively used for building neural networks and other machine learning models.
Python creates API requests and subsequent data analytics from each request.
Figure 3: Python creates API requests and subsequent data analytics from each request.

Popular Python ​​Programming Tools

Python developers need to know how to use the robust and feature-rich tools available to them to efficiently perform their tasks. The following are some instrumental tools that cater to various development needs:

  • Jupyter Notebook: This tool allows Python developers to create and share documents that contain live code, equations, visualizations, and explanatory text, making the coding process more interactive and understandable.
  • PyCharm: This is a popular IDE (Integrated Development Environment) that provides smart coding assistance, handy for writing clean and error-free code efficiently.
  • Git: This version control system helps developers track changes in their code during development, making it easier to collaborate and manage changes.
  • Virtualenv: This lets developers create isolated Python environments, ensuring that projects have their own dependencies and simplifying the management of libraries and versions.
  • Django: This is a high-level Python web framework for building robust web applications quickly with less code, ensuring a streamlined development process.
Web scraping capabilities provide a streamlined method to explore websites and collect links.
Figure 4: Web scraping capabilities provide a streamlined method to explore websites and collect links.

How Does Python Fit Into Modern Back-end Development?

Python streamlines back-end development with frameworks like Django and Flask, simplifying building robust server-side logic and handling database interactions. For instance, Django’s ORM allows seamless interactions with databases, reducing the need for repetitive SQL queries. Companies like Instagram and Pinterest have used Django to handle high traffic and data volume.

Additionally, Python's support for various databases and its ability to work well with front-end technologies make it a viable choice for building and maintaining the back end of web applications. This helps companies deliver efficient, scalable, and secure applications.

How Much Does It Cost to Hire a Python Developer?

The average salary for a mid-level Python developer with four to six years of experience living in the United States is around $113,704. This figure may fluctuate depending on location and additional pay, such as bonuses, commissions, stocks, and profit sharing.

While Python developers in Latin American countries are equally skilled, the lower cost of living means they’re usually paid 30% to 50% less than their US counterparts, with salaries varying based on location and experience. Revelo provides cost-effective access to many of these highly qualified, pre-vetted Latin American developers.

Featured Tool: Tech Team Budget Calculator

Finding Python Developers for Your Project

To hire Python developers, start with a clear and precise job description. Mention expected technical skills, like familiarity with frameworks such as Django or Flask, and the experience level you're targeting.

A junior-level Python developer often works on more straightforward tasks like bug fixing and writing basic code under the supervision of more experienced developers. A mid-level Python developer takes on more complex tasks, designing parts of applications, and may have some mentorship responsibility for junior developers. A senior-level Python developer leads project management, makes high-level design choices, and often mentors junior and mid-level developers, ensuring code quality and timely delivery of solutions.

Consider implementing practical tests or coding challenges alongside the traditional interview during the hiring process. This allows you to assess problem-solving skills and coding expertise in real-time.

Consider candidates’ experience with collaborative tools and version control systems like Git, as these are crucial for teamwork in modern development environments. Their willingness to collaborate, ability to communicate effectively, and openness to feedback are good indicators of their fit within your team.

Why Hire Python Developers With Revelo?

Engaging a skilled Python developer is crucial in the modern tech landscape. These developers provide efficient data analysis, robust web applications, and machine learning innovations—all pivotal components of dynamic software solutions.

At Revelo, we understand how complex the hiring process for this important position can be. Whether you’re a startup or an industry leader, finding talent to conduct interviews, write contracts, and handle compliance is often overwhelming. Our tech talent marketplace will offer you a list of highly vetted software developers that fit your specific needs. We'll help with payroll processing, compliance, and benefits administration, leaving you to focus on other areas of your business.

Contact Revelo to begin hiring top-notch Python developers for your next project.

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Frequently Asked Questions

Is there a free trial period for hiring
Python
 
developers
through Revelo?

Yes, if for any reason you find the developer you hire isn't a good fit within the first 14 days - you pay nothing or we can find you a replacement at no additional cost.

How are Revelo
Python
 
developers
different?
Revelo offers full-time remote
Python
 
developers
who share or highly overlap with your work day. You get world-class
Python
 
developers
in Latin America who speak English and are vetted on soft and technical skills. All
developers
live in the same time zones as the US or adjacent due to our talent base being exclusively in Latin America.
How do I hire
Python
 
developers

Hiring a full-time developer through Revelo is a simple 3-step process. First, you tell us your hiring needs. Second, we match you to the best developers within 3 days. Third, you interview the candidates you like and hire the one you like most.

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