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Fastapi Python Jobs in Charlotte, NC (NOW HIRING)

Snowrelic Inc

Python Developer

Charlotte, NC · On-site

$49 - $67.75/hr

Develop web applications using Python frameworks such as Django, Flask, or FastAPI. * Leverage Python libraries like NumPy, Pandas, Matplotlib, SciPy, Scikit-learn, and TensorFlow for data analysis ...

Accord Technologies Inc.

Python developer

Charlotte, NC · On-site

$49 - $67.75/hr

Strong proficiency in Python with frameworks like Flask, FastAPI, or Django.. * Familiarity with microservices architecture, containerization (Docker/Kubernetes). * Experience with databases such as ...

Value Technology Inc

Python Developer

Charlotte, NC

$49 - $67.75/hr

Python Developer Location: Charlotte, NC (Onsite) Experience: 10+ Years Job Summary Value ... Hands-on experience with Django / Flask / FastAPI. * Experience building REST APIs and ...

Accord Technologies Inc.

Lead Python Developer

Charlotte, NC · On-site

$136K - $168K/yr

Strong proficiency in Python with frameworks like Flask, FastAPI, or Django .. * Familiarity with microservices architecture, containerization (Docker/Kubernetes). * Experience with databases such as ...

Wells Fargo

Lead Python Software Engineer

Charlotte, NC · On-site

$136K - $168K/yr

Wells Fargo is seeking a Lead Python Software Engineer in Secured Network services organization ... Strong & relevant experience in supporting Web/API platforms built using DJANGO, FastAPI, Apigee

GlobalPoint

AI Engineer

Charlotte, NC · On-site

Backend Engineering (Python) * Build and maintain backend services using FastAPI or Flask. * Develop scalable API endpoints for AI applications, embeddings, and retrieval systems. * Ensure backend ...

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TEKsystems

Python Full Stack Developer

Charlotte, NC

$65 - $80/hr

... or FastAPI. - Experience working on SQL with ability to run various data analytics tasks and ... Skills Python, Django, React.js, Sql, databricks Top Skills Details Python,Django,React.js ...

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How much do fastapi python jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for fastapi python in Charlotte, NC is $57.26, according to ZipRecruiter salary data. Most workers in this role earn between $47.21 and $65.05 per hour, depending on experience, location, and employer.

What is the difference between Fastapi Python vs Django Developer?

AspectFastapi PythonDjango Developer
Primary FocusBuilding high-performance APIsDeveloping full-stack web applications
FrameworkFastapiDjango
Work EnvironmentBackend API services, microservicesWeb applications, content management systems
Required SkillsPython, asynchronous programming, REST APIsPython, Django framework, HTML/CSS, databases

Fastapi Python developers specialize in creating fast, scalable APIs using the Fastapi framework, often for microservices and backend systems. Django developers focus on building comprehensive web applications with integrated features. Both roles require Python, but Fastapi emphasizes performance and asynchronous programming, while Django offers a full-stack solution.

What are popular job titles related to Fastapi Python jobs in Charlotte, NC? For Fastapi Python jobs in Charlotte, NC, the most frequently searched job titles are:
What job categories do people searching Fastapi Python jobs in Charlotte, NC look for? The top searched job categories for Fastapi Python jobs in Charlotte, NC are:
What cities near Charlotte, NC are hiring for Fastapi Python jobs? Cities near Charlotte, NC with the most Fastapi Python job openings:
Fastapi Python jobs near you
Python Developer

Python Developer

Snowrelic Inc

Charlotte, NC • On-site

$49 - $67.75/hr

Contractor

Posted 12 days ago

Job description

We are seeking an experienced Python Developer with strong expertise in MongoDB to lead the design, development, and deployment of scalable backend solutions. The ideal candidate will be responsible for guiding a team of developers, architecting robust data models, and building high-performance, secure APIs and microservices leveraging Python and MongoDB. 

Location: Charlotte, North Carolina/ Irving, TX 

Client Interview will be In person (mandatory ) 

Responsibilities: 

  • Develop, enhance, and maintain Python-based banking applications with a focus on clean, efficient, and reliable code. 

  • Design and implement algorithms, data structures, and solutions to optimize application performance. 

  • Build and consume RESTful APIs to facilitate seamless data exchange and integration across banking systems. 

  • Develop web applications using Python frameworks such as Django, Flask, or FastAPI. 

  • Leverage Python libraries like NumPy, Pandas, Matplotlib, SciPy, Scikit-learn, and TensorFlow for data analysis and machine learning tasks (advantageous but optional). 

  • Collaborate with cross-functional teams on system design, architecture, and best practices in development. 

  • Implement CI/CD pipelines using Jenkins, GitLab CI, or Circle CI for automated testing and deployment. 

  • Deploy applications on cloud platforms like AWS, Google Cloud, or Microsoft Azure. 

  • Engage in troubleshooting, code reviews, and ensuring compliance with banking security standards. 

  • Work with legacy banking systems, migration projects, and modernization efforts. 

Requirements: 

  • Bachelor’s degree in Computer Science, Software Engineering, or related field. 

  • 10+ years of professional experience in Python development, with substantial banking domain exposure. 

  • Strong mastery of Python syntax, data structures, object-oriented programming, and design patterns. 

  • Extensive experience with Python web frameworks such as Django, Flask, or FastAPI. 

  • Proven experience designing and integrating RESTful APIs. 

  • Hands-on knowledge of database systems like SQL Server, Oracle, or similar, and ORM frameworks such as Django ORM or SQLAlchemy. 

  • Familiarity with cloud deployment (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is a plus. 

  • Solid understanding of CI/CD practices and tools. 

  • Excellent problem-solving skills, attention to detail, and ability to work under deadlines. 

  • Preferred: Experience working within banking or financial institutions. 

Preferred, but not required: 

  • Knowledge of machine learning libraries such as SciPy, Scikit-learn, TensorFlow. 

  • Experience with legacy banking systems and modernization projects. 

  • Strong communication skills and team collaboration experience. 

  • Agile/Scrum development experience.