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Django Contractor Jobs in Alabama (NOW HIRING)

... contractors from Astrion and other companies. Our team of experts helps the Government manage ... Django, Express.js, Spring Boot, Gin) * Experience in designing, implementing, and managing ...

Django Contractor information

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$43

$52

$59

How much do django contractor jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for django contractor in Alabama is $52.57, according to ZipRecruiter salary data. Most workers in this role earn between $49.23 and $55.58 per hour, depending on experience, location, and employer.

Is Django in demand in 2026?

Django remains a popular web framework for backend development, and demand for Django contractors is expected to stay strong through 2026 due to its scalability, security features, and active community. Skills in Python, REST APIs, and deployment tools will enhance job prospects for Django developers in the coming years.

What are the key skills and qualifications needed to thrive as a Django Contractor, and why are they important?

To thrive as a Django Contractor, you need strong expertise in Python, Django framework, web development principles, and a solid understanding of databases like PostgreSQL or MySQL. Familiarity with version control systems (like Git), RESTful API development, cloud deployment platforms, and relevant certifications such as Django Developer Certification can be advantageous. Excellent problem-solving abilities, communication skills, and adaptability to new technologies help set you apart in client-focused and collaborative environments. These skills and qualifications ensure the delivery of robust, scalable web applications that meet client requirements efficiently and reliably.

Is Django in high demand?

Django developers are in high demand due to the framework's popularity for building scalable web applications with Python. Many companies seek Django expertise for backend development, especially in environments that require rapid deployment and integration with other Python tools. Proficiency in related skills like REST APIs and database management can enhance job prospects.

What is the difference between Django Contractor vs Django Developer?

AspectDjango ContractorDjango Developer
CredentialsTypically freelance or short-term contracts, may not require formal certificationsUsually holds a degree or certifications in web development or related fields
Work EnvironmentProject-based, often remote or on-site for specific clientsFull-time or part-time employment within a company or agency
Employer & Industry UsageUsed by clients hiring for specific Django projectsEmployed by organizations developing Django-based applications
Search & Comparison IntentPeople looking for freelance Django work or short-term projectsIndividuals seeking full-time Django development roles

In summary, a Django Contractor typically works on short-term, project-based assignments often as a freelancer, while a Django Developer is usually employed full-time within a company to develop and maintain Django applications. Both roles require similar technical skills, but their work arrangements and employment types differ.

What are Django contractors?

Django contractors are professionals who are hired on a contract basis to develop, maintain, or enhance web applications using the Django framework, which is a high-level Python web framework. They may work independently or as part of a team, and are typically brought in for specific projects or to provide expertise that a company does not have in-house. Django contractors handle tasks such as backend development, API integration, database management, and deployment, ensuring scalable and secure web solutions. Their flexible, project-based roles make them ideal for businesses needing Django expertise without committing to a full-time hire.

How much does a Django developer make?

A Django developer's salary varies based on experience, location, and skill level, but typically ranges from $70,000 to $120,000 annually in the United States. Senior developers with specialized skills in Python and web frameworks can earn higher salaries, especially in competitive markets or with additional certifications. Freelance or contract Django developers may charge hourly rates between $30 and $100 depending on expertise and project scope.

What jobs in the US pay $300,000 a year?

In the US, high-paying roles such as senior software engineers, data scientists, and IT directors can earn $300,000 or more annually, especially with extensive experience, advanced skills, and certifications. For example, experienced Django contractors working in senior or specialized roles for large companies or consulting firms may reach this salary level, often involving leadership responsibilities or niche expertise. Compensation varies based on industry, location, and company size.

What are some common challenges Django Contractors face when working on multiple client projects simultaneously?

Django Contractors often juggle several client projects at once, which can lead to challenges in managing differing codebases, project requirements, and deadlines. Clear communication with each client and maintaining detailed documentation are essential to prevent confusion and overlapping priorities. Adopting project management tools and version control best practices can also help streamline workflows and reduce errors, ensuring smooth collaboration even when switching between projects. Additionally, contractors need to stay updated with Django's evolving ecosystem to meet diverse client needs efficiently.
What are popular job titles related to Django Contractor jobs in Alabama? For Django Contractor jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Django Contractor jobs in Alabama look for? The top searched job categories for Django Contractor jobs in Alabama are:
What cities in Alabama are hiring for Django Contractor jobs? Cities in Alabama with the most Django Contractor job openings:

Digital AI Development Engineer

Astrion

Huntsville, AL โ€ข On-site

Full-time

This job post hasย expired 2 days ago.ย Applications are no longer accepted.


Job description

Overview
Digital AI Development Engineer
LOCATION: Huntsville, Alabama
JOB STATUS: Full Time
CLEARANCE: Active Secret
At Astrion, we are at the forefront of new missile defense technologies and engaged with the Missile Defense Agency's (MDA) rigorous engineering efforts to develop and deploy a layered Missile Defense System (MDS). This exciting, rewarding work helps guarantee the security of the United States, deployed forces, and allies. Join a professional team of highly qualified engineers, analysts, scientists and technicians supporting the research, development, testing and evaluation of the missile defense system whose purpose is to detect, track, engage and destroy adversary missiles.
Your typical day - Our MDA analysts and engineers work in modern, well-appointed government facilities at Redstone Arsenal. Redstone is located in Huntsville, Alabama, otherwise known as "Rocket City." Huntsville is the hub of missile and space research and development. You will collaborate with other missile defense experts - military, government civilians, and contractors from Astrion and other companies. Our team of experts helps the Government manage planning, development and delivery of state-of-the art sensors, weapons, communications, and command/control systems.
What are your specific duties? - The Digital AI Development Engineer will support the MDA Ground-based Midcourse Dense (GMD) Product Office. The candidate will provide technical and advisory assistance to GMD by aiding in design, implementation, and management of AI solutions.
REQUIRED QUALIFICATIONS / SKILLS
  • Education: Bachelor's degree in a STEM related field
  • Experience: 3+ years of relevant experience
  • Active DoD Secret security clearance, which requires US Citizenship
  • Working understanding of AI pipelines, including data processing, model deployment, and integration
  • Strong programming skills in Python or similar languages, with a focus on AI and data processing libraries
  • Ability to work independently while collaborating effectively with team members.
  • Excellent problem-solving skills and attention to detail
  • Proficiency in Microsoft Office (Word, Excel and PowerPoint)

PREFERRED QUALIFICATIONS / SKILLS
  • Experience with cloud platforms like AWS, Bedrock, SageMaker, or Azure Foundry for AI solution deployment
  • Understanding of frameworks such as LangChain, Open WebUI, and embeddings databases
  • Familiarity with semantic search and recommendation systems
  • Knowledge of distributed systems and scalable architectures for AI pipelines
  • Experience with containerization tools like Docker and orchestration platforms like Kubernetes
  • Understanding of MLOps practices for continuous integration and deployment of AI models
  • Solid understanding of full-stack development principles, including front-end technologies (HTML, CSS, JavaScript, React, Angular, or Vue.js) and back-end technologies (Python, Node.js, Java, Go) with relevant frameworks (Django, Express.js, Spring Boot, Gin)
  • Experience in designing, implementing, and managing relational (MySQL, PostgreSQL) or NoSQL (Mongo DB) databases
  • Experience developing and consuming RESTful APIs
  • Demonstrated ability to build and maintain CI/CD pipelines using tools like Jemkins, GitLab CI, CircleCI, or similar, and integrating Terraform and Ansible for automated deployments
  • Experience with cloud monitoring and logging tools (such as Prometheus, Grafana, ELK Stack, CloudWatch, Azure Monitor, Google Cloud Logging)
  • Understanding of software architecture patterns, design principles, and security best practices for cloud environments and web applications
  • Strong troubleshooting and problem-solving skills across the entire technology stack
  • Experience working in an Agile development environment and collaborating effectively with cross-functional teams
  • Ability to clearly and concisely document infrastructure, configurations, and deployment processes
  • Experience with Linux and/or Windows system administration

RESPONSIBILITIES
  • Design and implement AI pipelines for data ingestion, processing, and model deployment using frameworks like LangChain and Open WebUI
  • Develop and manage embeddings databases to support semantic search, recommendation systems, and other AI-driven applications
  • Integrate AI solutions with cloud platforms such as Azure Foundry to ensure scalability, reliability, and security
  • Collaborate with cross-functional teams to identify requirements and deliver AI solutions tailored to business needs
  • Optimize AI workflows for performance and efficiency, ensuring seamless integration with existing systems
  • Stay updated on the latest advancements in AI tools, frameworks, and methodologies to continuously improve pipeline performance
  • Document processes, workflows, and best practices for AI pipeline development and maintenance

#CJ