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Back End Python Developer Jobs in Charlotte, NC (NOW HIRING)

Python / PySpark * ETL and Streaming Data Processing * CI/CD using Terraform, Jenkins, or Concourse ... AWS Certified Developer - Associate or * AWS Certified Solutions Architect (Preferred)

Software Engineer

Charlotte, NC · On-site

$49 - $53/hr

Senior Software Engineer, Backend (Python / Node.js) We are not accepting C2C or 1099 arrangements. Location: Charlotte, NC (Hybrid/Onsite based on business needs) Employment Type: Contract Client ...

... Backend: Python 3.12, FastAPI, Pydantic v2, SQLAlchemy 2 with Alembic, async psycopg/asyncpg ... Terraform or OpenTofu, and Azure DevOps Pipelines. * Vector search and RAG systems at scale ...

Proficiency in Python for automation, scripting, and AWS Lambda functions * Knowledge of serverless ... Automation & DevOps: * Experience with CI/CD pipelines (AWS CodePipeline, GitHub Actions) * Version ...

New

Proficiency in Python for automation, scripting, and AWS Lambda functions * Knowledge of serverless ... Automation & DevOps: * Experience with CI/CD pipelines (AWS CodePipeline, GitHub Actions) * Version ...

New

Showing results 41-60

Back End Python Developer information

See Charlotte, NC salary details

$15.6K

$144.8K

$186.6K

How much do back end python developer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for back end python developer in Charlotte, NC is $144,782.00, according to ZipRecruiter salary data. Most workers in this role earn between $142,100.00 and $163,600.00 per year, depending on experience, location, and employer.

What is a back end Python developer?

A Back End Python Developer is responsible for building and maintaining the server-side logic of web applications using Python. They develop APIs, manage databases, optimize application performance, and ensure seamless data exchange between the front end and back end. Common frameworks used include Django and Flask. Their role is crucial in ensuring that applications run efficiently, securely, and can scale as needed.

What are the typical daily responsibilities of a back end Python developer?

As a Back End Python Developer, your daily tasks often include designing, developing, and maintaining server-side logic, building and integrating APIs, and managing databases to ensure efficient data storage and retrieval. You'll collaborate closely with front-end developers and other team members to deliver seamless user experiences, troubleshoot bugs, and optimize system performance. Participation in code reviews, writing unit tests, and updating technical documentation are also common responsibilities. This collaborative and varied workflow ensures the server-side infrastructure is robust and scalable to meet the demands of modern web and application development.

What are the key skills and qualifications needed to thrive in the back end Python developer position, and why are they important?

To thrive as a Back End Python Developer, you need strong proficiency in Python, knowledge of back-end frameworks like Django or Flask, experience with RESTful APIs, and a solid understanding of databases such as PostgreSQL or MongoDB, often supported by a degree in computer science or related technical field. Familiarity with tools like Git, containerization (Docker), CI/CD pipelines, and cloud platforms (AWS, Azure, or GCP), along with relevant certifications, are often valued. Excellent problem-solving abilities, attention to detail, and effective communication skills help developers work efficiently in collaborative and fast-paced environments. These skills ensure reliable, scalable, and maintainable server-side applications that support business goals and user experience.

What job categories do people searching Back End Python Developer jobs in Charlotte, NC look for?

The top searched job categories for Back End Python Developer jobs in Charlotte, NC are:

Infographic showing various Back End Python Developer job openings in Charlotte, NC as of September 2026, with employment types broken down into 63% Full Time, 20% Part Time, and 17% Contract. Highlights an 68% In-person, and 32% Remote job distribution, with an average salary of $144,782 per year, or $69.6 per hour.

SS Hackathon - AI Developer / AI Engineer

Concord, NC • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Re-posted 26 days ago


Job description

Description Neogov is at the forefront of digital innovation, leveraging cutting-edge technology to solve complex problems and transform industries. We are seeking a talented AI Developer to join our dynamic team and help us create intelligent, scalable solutions that drive business impact. Example of Duties Develop AI Models: Design, build, train, and test machine learning (ML) and deep learning models to address specific business challenges, such as natural language processing (NLP), computer vision, or predictive analytics.

Data Handling: Collaborate with data scientists and engineers to collect, clean, preprocess, and analyze large datasets to ensure data quality and availability for model training. Integrate AI Solutions: Deploy AI models into production environments and seamlessly integrate them with existing systems, applications, and APIs. Optimize Performance: Monitor, evaluate, and fine-tune AI models and applications for performance, accuracy, and scalability.

Collaborate & Communicate: Work effectively within multidisciplinary teams, articulating complex technical concepts and findings to both technical and non-technical stakeholders. Research & Innovation: Stay updated with the latest advancements in AI technologies, tools, and industry trends to propose innovative solutions. Typical Qualifications Education:Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related quantitative field.

Experience:Proven experience as an AI Developer, Machine Learning Engineer, or similar role. Programming Proficiency:Strong coding skills in Python, Java, R, and/or C++. AI Frameworks:Hands-on experience with AI/ML frameworks and libraries such asTensorFlow,PyTorch, scikit-learn, or Keras.

Technical Knowledge:Solid understanding of machine learning algorithms, neural networks, data structures, and software architecture. Problem-Solving:Excellent analytical and problem-solving skills with attention to detail. Supplemental Information Experience with cloud computing platforms likeAWS, Google Cloud (GCP), or Azure for model deployment and scaling.

Familiarity with DevOps practices and MLOps tools (e.g., Docker, Kubernetes, MLflow). Knowledge of big data technologies such as Hadoop or Spark. Benefits Competitive salary and compensation package

Comprehensive health, dental, and vision insurance. [401(k) matching or retirement plan]. Flexible work environment/remote options.

Opportunities for continuous learning and professional development (e.g., conference sponsorships, training stipends).