1

Django Python Jobs in Georgia (NOW HIRING)

.NET Developer

Tucker, GA · On-site

$45.50 - $60/hr

... Python development (OOP, data structures, exception handling, file I/O). * Proficiency in Django/Flask frameworks. * Strong experience with Git version control. * Experience with Umbraco CMS ...

AI & Machine Learning Engineer

Flovilla, GA · On-site

$104K - $125K/yr

Experience in Python programming and understanding of the software development life cycle ... Django Roles and Responsibilities * Collaborate with dynamic teams of engineers, developers, and ...

Proficient with Python web frameworks such as Django and/or Flask. * Experience working with Identity server - OIDC & SAML based authentication. * Experience working with .NET Core C#, n-tier ...

.Net Developer

Tucker, GA · On-site

$45.50 - $60/hr

Proficient with Python web frameworks such as Django and/or Flask. * Experience working with Identity server - OIDC & SAML based authentication. * Experience working with .NET Core C#, n-tier ...

Experience with server frameworks such as Express, Spring MVC or Django Fullstack Engineering ... languages (e.g., Java, Python, JavaScript, C++, etc.). * Basic knowledge of front-end web ...

Experience with server frameworks such as Express, Spring MVC or Django Fullstack Engineering ... languages (e.g., Java, Python, JavaScript, C++, etc.). * Basic knowledge of front-end web ...

Experience with at least one backend technology stack: Node.js, Python (Django or Flask), or Java (Spring Boot). * Experience building and consuming REST APIs and microservices. * Experience with ...

next page

Showing results 1-20

People also search for

Django Python information

See Georgia salary details

$19.4K

$97.2K

$337.3K

How much do django python jobs pay per year?

As of Jun 18, 2026, the average yearly pay for django python in Georgia is $97,194.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,900.00 and $134,300.00 per year, depending on experience, location, and employer.

Does NASA use Django?

NASA primarily uses a variety of programming languages and frameworks, including Python, for its web and data applications. While Django is a popular Python web framework, there is no publicly available information confirming that NASA specifically uses Django for its projects. Python skills are valuable for many roles within NASA, especially in data analysis and scientific computing.

Is Django still used in 2026?

Django remains a popular web framework for Python developers in 2026, widely used for building scalable and secure web applications. Its extensive ecosystem, including ORM and admin interface, continues to support job roles such as Django Python developers. Staying updated with Python and related tools is essential for these roles.

Can I get a job with Python and Django?

A job as a Django Python developer is achievable with strong programming skills in Python, experience with the Django framework, and knowledge of web development concepts. Employers often look for familiarity with databases, version control, and deployment processes, along with relevant certifications or project portfolios. Entry-level positions may require demonstrating practical experience through projects or internships.

What are some typical challenges faced by Django Python developers in their daily work?

Django Python developers often encounter challenges such as optimizing database performance, ensuring code scalability, and integrating third-party APIs or legacy systems into Django-based applications. Keeping up with regular security updates and best coding practices is also essential, as web applications must be robust and secure. Additionally, developers may need to collaborate closely with front-end teams, designers, and product managers, requiring flexibility and strong communication skills. These challenges provide ongoing opportunities to problem-solve, innovate, and develop expertise in web development and team collaboration.

What are the key skills and qualifications needed to thrive in the Django Python position, and why are they important?

To thrive as a Django Python developer, you need strong proficiency in Python programming, experience with the Django web framework, and a solid understanding of databases and web technologies. Familiarity with version control systems like Git, cloud platforms such as AWS or Azure, and knowledge of front-end technologies is often required, with additional value placed on Django or Python certifications. Effective problem-solving, teamwork, and clear communication are essential soft skills for collaborating within development teams. These skills are crucial to building, maintaining, and scaling reliable web applications in a dynamic tech environment.

What is a Django Python job?

A Django Python job typically involves developing web applications using Django, a high-level Python web framework. Professionals in this role are responsible for building, maintaining, and optimizing web applications, working with databases, and implementing secure authentication systems. They often collaborate with front-end developers, project managers, and other team members to create scalable and efficient web solutions.

Is Python Django in demand?

Django Python developers are in high demand due to the framework's popularity for building scalable web applications. Skills in Python, Django, and related tools like REST APIs and databases increase employability across various industries, with many opportunities for full-time and freelance roles.
Infographic showing various Django Python job openings in Georgia as of June 2026, with employment types broken down into 97% Full Time, and 3% Part Time. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution, with an average salary of $97,194 per year, or $46.7 per hour.
Next Insurance - Machine Learning Engineer

Next Insurance - Machine Learning Engineer

Beyond SOF

Atlanta, GA • On-site

Full-time

Posted 6 days ago


Job description

Machine Learning Engineer
Experience level: Mid-senior
Experience required: 4 Years
Education level: Bachelor's degree
Job function: Information Technology
Industry: Financial Services
Total position: 1
Relocation assistance: Limited assistance
Visa : Only US citizens and Greencard holders

Job Summary
We are looking for a driven Machine Learning Engineer to help us bring software development rigor to the ML life-cycle within the business insurance industry. As an experienced innovator partnering with the marketing and growth teams, this is a massive opportunity to drive high growth impact at a hyper-growth startup. Your job is to be a full stack ML engineer, supercharging all aspects of scaling Machine Learning at NEXT: application design and architecture, scalable deployment of inference solutions as APIs, data enrichment as a service, and model monitoring.
You will be joining an innovative division of NEXT based in Atlanta: Data Labs. The mandate of Data Labs is to build software and data solutions that meaningfully impact marketing, funnel, risk, and servicing/claims experiences.
What You'll Do:
  • Empower our team of data scientists to rapidly develop and deploy ML solutions.
  • Leverage software engineering best-practices to create and deploy data-intensive and machine learning inference products.
  • Understand the data and dig deep to extract actionable insights.
  • Think creatively and outside the box to answer desired experimental questions as well as exposing opportunities to create business value.
  • Work cross-functionally with marketing, engineering, product, senior management, and external partners.

What We Need:
  • 3+ years of hands-on experience in the complete software development life-cycle with demonstrated professional experience with machine learning
  • Strong command of Python and the standard web development frameworks (e.g. Django, Flask, FastAPI) & fluency with database technologies, SQL, and Python data packages
  • Demonstrated experience deploying models and applications to a cloud environment using tools like Docker and Kubernetes.
  • Demonstrated experience with software engineering best-practices, such as Test-Driven Development and continuous integration/deployment pipelining
  • Experience with ML-oriented data pipelining tools (dbt, Airflow, Prefect, DVC, etc.)

Unstoppable Qualities:
  • Experience in the insurance industry (strong fintech/lending experience will also be considered)
  • Experience with GitLab