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Django Python Jobs in Colorado (NOW HIRING)

Data Engineer ID52278

Aurora, CO · On-site +1

$116K - $139K/yr

Familiarity with Python, Django, Kubernetes, PostgreSQL, DBT, Redshift, AWS ; * Upper-intermediate English level . PERKS AND BENEFITS * Professional growth: Mentorship, TechTalks, and personalized ...

Python * Django / WebSockets * React JS / JavaScript * PostgreSQL * Celery * Redis * Dart / Flutter * GitHub * Docker * Kubernetes * Linux Administration Qualifications & Skills * Strong problem ...

Symitar PowerOn, Java, Python, SQL, TypeScript, and other proprietary programming languages. * Experience with modern development frameworks such as React, Angular, .NET, Bootstrap, Spring, Django ...

Required : • 8+ years of experience • Experience with full stack development frameworks and techniques including React, SpringBoot, Python Flask/Django, ReST, JMS, WebSockets, JSoN and XML ...

AI & Machine Learning Engineer

Denver, CO

$117K - $141K/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 ...

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Django Python information

See Colorado salary details

$24.2K

$121K

$420.1K

How much do django python jobs pay per year?

As of Jun 18, 2026, the average yearly pay for django python in Colorado is $121,037.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,300.00 and $167,200.00 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.
What are popular job titles related to Django Python jobs in Colorado? For Django Python jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Django Python jobs in Colorado look for? The top searched job categories for Django Python jobs in Colorado are:
Data Engineer ID52278

Data Engineer ID52278

AgileEngine

Aurora, CO • On-site, Remote

$116K - $139K/yr

Full-time

Posted 7 days ago


Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you\'re looking for a place to grow, make an impact, and work with people who care, we\'d love to meet you!
ABOUT THE ROLE
As a Data Engineer , you will design and scale high-performance ELT pipelines that power a centralized data warehouse and enable reliable, data-driven decision-making across the organization. You’ll collaborate closely with cross-functional teams to build a robust, scalable data platform, ensuring data quality, accessibility, and performance. This role offers strong ownership, architectural influence, and the opportunity to shape data systems, best practices, and a growing data-driven culture.
WHAT YOU WILL DO
  • Design, build, and optimize high-volume, high-performance ELT pipelines for a centralized data warehouse;
  • Collaborate with Product, ML Engineers, Data Scientists, and DevOps to define scalable and secure data platform architecture;
  • Own key data warehouse components including development, deployment, monitoring, and continuous improvement;
  • Provide technical leadership through data architecture reviews and system design discussions;
  • Contribute to engineering culture and data-driven best practices;
  • Support internal and external stakeholders with a focus on data accessibility and usability;
  • Mentor team members and participate in hiring processes.

MUST HAVES
  • 5+ years of experience in data engineering building scalable systems and pipelines;
  • Expert proficiency in SQL and strong coding skills in Python ;
  • Hands-on experience with data warehousing, data lakes, and large-scale data systems ;
  • Strong understanding of computer science fundamentals (data structures, algorithms, distributed systems) ;
  • Solid understanding of distributed system architecture focusing on availability, reliability, and performance;
  • Strong focus on execution and product delivery;
  • Exceptional attention to detail and quality;
  • Strong communication skills;
  • Ability to mentor and support other engineers;
  • Leadership mindset with ability to take initiative and deliver results;
  • Comfort working in a fast-paced, evolving environment;
  • Familiarity with Python, Django, Kubernetes, PostgreSQL, DBT, Redshift, AWS ;
  • Upper-intermediate English level .

PERKS AND BENEFITS
  • Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
  • Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
  • Exciting projects: Modern solutions with Fortune 500 and top product companies.
  • Flextime: Flexible schedule with remote and office options.