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Remote Python Django Backend Developer Jobs in Raleigh, NC

Senior Software Engineer in Crypto (Smart Cards)

Raleigh, NC · On-site +1

$118K - $195K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Our team is focused on cryptographic back-end components such as OpenSSL, GnuTLS and Network ... Knowledge of Python * Experience and passion in regards the AI-assisted development #LI-EK1 Red Hat ...

DSO Engineer (Remote)

Raleigh, NC · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with scripting languages (e.g., Python, Bash), configuration management tools (e.g ... Remote: Employees who are working in Remote roles will work primarily offsite (from home). An ...

Senior Data Engineer

Raleigh, NC · Remote

$91K - $163K/yr

  • Retirement

Architect and optimize complex ETL processesand data pipelines usingDatabricks(Spark, SQL, Python ... backend ETL processes to end-user visualizations * Partner with product and business leadersto ...

Showing results 41-60

Remote Python Django Backend Developer information

See Raleigh, NC salary details

$15.6K

$144.1K

$185.7K

How much do remote python django backend developer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote python django backend developer in Raleigh, NC is $144,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,400.00 and $162,800.00 per year, depending on experience, location, and employer.

What does a remote Python Django backend developer do?

A Remote Python Django Backend Developer is responsible for building and maintaining the server-side logic of web applications using the Django framework and Python programming language. They work on database management, API development, and integrating third-party services, ensuring that the backend of the application is robust, secure, and efficient. As the role is remote, developers collaborate with team members and stakeholders online, using tools for code versioning, project management, and communication. Their work enables the frontend of web applications to function properly and deliver a seamless user experience.

What are the key skills and qualifications needed to thrive as a remote Python Django backend developer?

To thrive as a Remote Python Django Backend Developer, you need strong programming skills in Python, a deep understanding of the Django framework, and experience with RESTful API design, supported by a relevant degree or proven track record. Familiarity with version control systems like Git, databases such as PostgreSQL or MySQL, and deployment tools like Docker or cloud services is typically required. Excellent problem-solving, self-motivation, and communication skills are crucial for collaborating with distributed teams and managing tasks independently. These skills ensure you can build robust, scalable backend solutions while working efficiently in a remote environment.

How does a remote Python Django backend developer typically collaborate with other team members in a distributed environment?

As a Remote Python Django Backend Developer, you’ll frequently collaborate with frontend developers, product managers, and QA engineers using digital communication tools like Slack, Jira, and Zoom. Regular stand-up meetings and code reviews are common practices to ensure project alignment and maintain code quality. You may also work closely with DevOps teams to deploy and maintain applications in cloud environments. Clear documentation and proactive communication are essential for effective teamwork when working remotely.

What is the difference between Remote Python Django Backend Developer vs Remote Flask Backend Developer?

AspectRemote Python Django Backend DeveloperRemote Flask Backend Developer
Required CredentialsPython proficiency, Django framework knowledge, often a degree in Computer SciencePython proficiency, Flask framework familiarity, often a degree in Computer Science
Work EnvironmentCollaborative teams, larger projects, enterprise-level applicationsSmaller projects, startups, flexible environments
Industry UsageWeb applications, content management systems, e-commerceAPIs, microservices, lightweight web apps
Search & Comparison IntentOften compared for backend frameworks, enterprise vs. lightweight projects

Remote Python Django Backend Developers typically work on larger, scalable web applications using the Django framework, which offers built-in features for rapid development. In contrast, Remote Flask Backend Developers focus on lightweight, flexible microservices and APIs, often in startup or smaller project environments. Both roles require strong Python skills and familiarity with web development, but they differ in project scope and complexity.

What are the most commonly searched types of Python Django Backend Developer jobs in Raleigh, NC?

The most popular types of Python Django Backend Developer jobs in Raleigh, NC are:

What are popular job titles related to Remote Python Django Backend Developer jobs in Raleigh, NC?

For Remote Python Django Backend Developer jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Remote Python Django Backend Developer jobs in Raleigh, NC look for?

The top searched job categories for Remote Python Django Backend Developer jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Remote Python Django Backend Developer jobs?

Cities near Raleigh, NC with the most Remote Python Django Backend Developer job openings:

GCP Data Engineer

Meta Force Technology Staffing LLC

Raleigh, NC • Remote

$117K - $140K/yr

Contractor

Re-posted 15 days ago


Job description

Remote Job Role 
Junior (GCP Data Engineer – Teradata to GCP Migration):
 
Job Description – Remote 
Must Have - Migration from Teradata to GCP
 
2-4 Years of Experience in 
Seeking a skilled GCP Data Engineer to support the migration of enterprise data and ETL workflows from Teradata to Google Cloud Platform (BigQuery, Dataflow, Cloud Storage). 
Responsibilities include data pipeline development, schema translation, performance optimization, and collaborating with cross-functional teams to ensure a smooth and secure migration. Experience with SQL, Python, and GCP-native tools is essential.