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Remote Python Django Intern Jobs in Colorado (NOW HIRING)

AgileEngine

Data Engineer ID52278

Aurora, CO · On-site +1

$116K - $139K/yr

Familiarity with Python, Django, Kubernetes, PostgreSQL, DBT, Redshift, AWS ; * Upper-intermediate ... Flexible schedule with remote and office options.

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Remote Python Django Intern information

What is the salary of Python intern?

The salary of a Python intern varies depending on the company, location, and level of experience, but typically ranges from $15 to $25 per hour for remote internships. Internships often provide opportunities to develop skills in Python and Django, with some offering stipends or hourly pay based on industry standards.

What is the difference between Remote Python Django Intern vs Remote Python Developer?

AspectRemote Python Django InternRemote Python Developer
Required CredentialsBasic programming knowledge, possibly pursuing a degree in CS or related fieldProven experience, relevant certifications, strong coding skills
Work EnvironmentInternship setting, mentorship, learning-focusedFull-time or freelance, project-driven, professional environment
Industry UsageEntry-level roles, internships, training programsDevelopment teams, startups, tech companies
Search & Comparison IntentUnderstanding entry-level opportunities, internshipsSeeking experienced roles, project work

The main difference between a Remote Python Django Intern and a Remote Python Developer lies in experience, responsibilities, and career stage. Interns are typically students or beginners gaining foundational skills, while developers have proven expertise and handle complex projects. Both roles are common in tech industries, but they serve different purposes in career development.

Can I get a job with Python and Django?

A job as a Remote Python Django Intern typically requires knowledge of Python and the Django framework, along with basic web development skills. Gaining experience through projects, internships, or certifications can improve your chances of securing such a role, which often involves working in a collaborative environment and understanding databases and APIs.

How to find remote internships jobs?

To find remote Python Django internship jobs, search on online job boards, company career pages, and internship platforms using keywords like 'remote Python Django intern.' Networking through professional sites and joining relevant tech communities can also help discover opportunities. Ensure your resume highlights relevant skills such as Python, Django, and version control tools like Git.

What is the salary for Python Django freshers?

The salary for a Python Django intern or fresher typically ranges from $10,000 to $20,000 per year, depending on location, company, and skill level. Entry-level roles often offer lower compensation, but gaining experience with Django, Python, and related tools can lead to higher pay as skills develop.
What are popular job titles related to Remote Python Django Intern jobs in Colorado? For Remote Python Django Intern jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Python Django Intern jobs in Colorado look for? The top searched job categories for Remote Python Django Intern jobs in Colorado are:
Remote Python Django Intern jobs near you
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.

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