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Python Developer Jobs in South Carolina (NOW HIRING)

Mantx LLC

Junior Software Developer

Taylors, SC · On-site

$50K/yr

WHAT YOU'LL ACTUALLY DO - Build features across our full stack, guided by senior engineers - Ship user-facing UI in Vue 3 + Vuetify - Develop API endpoints in Python / FastAPI - Write and optimize ...

Entarian

DevSecOps Engineer (Mid)

North Charleston, SC · On-site +1

... DevOps Platform to enable a shared system of systems to support software development, systems engineering, integration, and test of software applications and infrastructure in a heterogeneous ...

Entarian

DevSecOps Engineer (Mid)

North Charleston, SC · On-site

... DevOps Platform to enable a shared system of systems to support software development, systems engineering, integration, and test of software applications and infrastructure in a heterogeneous ...

Entarian

DevSecOps Engineer (Mid)

North Charleston, SC · On-site

... DevOps Platform to enable a shared system of systems to support software development, systems engineering, integration, and test of software applications and infrastructure in a heterogeneous ...

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All JobsPython Developer JobsPython Developer Jobs in South Carolina

Python Developer information

See South Carolina salary details

$12

$54

$80

How much do python developer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for python developer in South Carolina is $54.40, according to ZipRecruiter salary data. Most workers in this role earn between $44.86 and $61.78 per hour, depending on experience, location, and employer.

What does a Python developer do?

As a Python developer, your job is to use the Python programming language to develop, implement, and debug a project. In this role, you may create an application for your employer, design the framework for your code, build tools as necessary to get the job done, create websites, or publish new services. Python developers often work with data collection and analytics to create useful answers to questions and provide insight where it's needed most. Like most programming positions, the specifics of this job vary based on the needs of your employer. Some Python developers work as independent contractors instead of being exclusive to one company.

What does a Python developer do?

A Python Developer designs, codes, and maintains software applications using the Python programming language. They often work on web applications, data analysis, automation scripts, and more. Their responsibilities can include writing and testing code, debugging programs, integrating third-party services, and collaborating with other developers and stakeholders. Python Developers are valued for their ability to create efficient, scalable, and readable code. They may also be involved in deploying applications and maintaining technical documentation.

What are the key skills and qualifications needed to thrive as a Python developer, and why are they important?

To thrive as a Python Developer, you need strong programming skills in Python, a solid understanding of algorithms and data structures, and often a degree in computer science or a related field. Familiarity with frameworks like Django or Flask, version control systems such as Git, and knowledge of databases and cloud services are commonly required. Problem-solving ability, attention to detail, and effective communication help developers collaborate and deliver high-quality code. These skills and qualities are vital to building efficient, scalable software solutions and contributing effectively to development teams.

What are some common challenges Python developers face when working on large-scale projects?

Python Developers working on large-scale projects often encounter challenges such as managing codebase complexity, ensuring consistent code style among team members, and optimizing application performance. Collaboration with other developers becomes essential, often requiring the use of version control systems and code review processes. Additionally, integrating Python code with other technologies or legacy systems can present unique compatibility and testing hurdles. Proactively adopting best practices like modular architecture and thorough documentation can help mitigate these issues.

What is the difference between Python Developer vs Java Developer?

AspectPython DeveloperJava Developer
Required CredentialsBachelor's in CS or related field, Python certifications (optional)Bachelor's in CS or related field, Java certifications (optional)
Work EnvironmentWeb development, data science, automation, scriptingEnterprise applications, Android development, backend systems
Industry UsageTech startups, data companies, automation firmsFinancial services, enterprise software, mobile app companies
Common Search/ComparisonOften compared for backend and scripting rolesCompared for enterprise and mobile app development

Python Developers and Java Developers share similar educational backgrounds and often work in backend environments. However, Python is favored for data science, scripting, and rapid development, while Java is preferred for large-scale enterprise applications and Android development. Both roles are highly sought after, but their industry focus and project types differ.

How much do Python developers get paid?

Python developers' salaries vary based on experience, location, and skill level, but they typically earn between $70,000 and $120,000 annually in the United States. Senior developers with expertise in frameworks, data analysis, or machine learning can earn higher salaries, especially in tech hubs. Entry-level positions generally start around $60,000 to $80,000.

Is Python in demand in 2026?

Python developers are expected to remain in high demand through 2026 due to the language's widespread use in data science, web development, automation, and artificial intelligence. Proficiency in frameworks like Django or Flask and knowledge of related tools can enhance job prospects in this field.

Is there a demand for Python developers?

Python developers are in high demand across various industries such as technology, finance, and data science due to Python's versatility and widespread use in web development, automation, and machine learning. Employers seek professionals with skills in frameworks like Django or Flask and knowledge of data analysis tools like Pandas and NumPy, making Python a valuable programming language for job seekers.

What jobs can a Python Developer get?

A Python Developer can work in roles such as software engineer, web developer, data analyst, data scientist, machine learning engineer, automation engineer, and backend developer. These positions often require knowledge of frameworks like Django or Flask, and familiarity with databases and version control systems.
More about Python Developer jobs

What are the most commonly searched types of Python Developer jobs in South Carolina?

The most popular types of Python Developer jobs in South Carolina are:

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For Python Developer jobs in South Carolina, the most frequently searched job titles are:

What job categories do people searching Python Developer jobs in South Carolina look for?

The top searched job categories for Python Developer jobs in South Carolina are:

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Cities in South Carolina with the most Python Developer job openings:

What are popular job titles related to Python Developer jobs in SC?

For Python Developer jobs in SC, the most frequently searched job titles are:

Python Developer jobs near you
Infographic showing various Python Developer job openings in South Carolina as of August 2026, with employment types broken down into 1% Internship, 84% Full Time, 9% Part Time, and 6% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $113,148 per year, or $54.4 per hour.

Data & Analytics Developer

West Coast Logistics

Greenville, SC • On-site

$47 - $53/hr

Contractor

Posted 19 days ago

Job description

CLIENT HIGHLIGHT
The client you'll be supporting is a Fortune 500 global leader in energy technology, focused on helping the world produce cleaner, more reliable power. Their teams design and improve the systems that keep homes, businesses, and communities running, from gas and wind turbines to the electrical grids that connect them. This is a chance to be part of a company that's driving innovation, supporting sustainability, and shaping the future of energy.

LOCATION
Greenville, South Carolina, 29615

COMPENSATION
$47-53 per hour, full benefits offered

SCHEDULE
Hybrid; local candidates
Standard Hours: 40 hours per week

CONTRACT TERM
1 year with high likelihood of extension or conversion

POSITION OVERVIEW
The Data & Analytics (D&A) Developer II / Data Scientist supports the HDPE Operations & Strategy team, serving as the bridge between engineering domain knowledge, business operations, and IT execution. This role defines data requirements, builds AI/ML and scenario-planning models, and delivers harmonized insights and reporting to business stakeholders worldwide. Responsibilities: Analyze data across enterprise systems (SAP, Salesforce, Databricks, Power BI); develop and validate machine learning models for forecasting and scenario planning; build and maintain Python-based data pipelines; track project execution through P6 and other project systems; reverse-engineer existing dashboards and SQL logic; and translate technical findings into actionable business insights.

RESPONSIBILITIES
Data Analysis & Intelligence
  • Analyze data from multiple enterprise systems (SAP, Salesforce, Databricks, Power BI, labor and finance systems) to identify patterns, gaps, and improvement opportunities
  • Work with Program Managers and Operations leaders to define relevant data assets and specify how data should be accessed, interpreted, and used
  • Transform large structured/unstructured datasets (100k+ rows) into actionable insights
  • Conduct data quality checks and resolve data defects across enterprise platforms
AI/ML Model Development & Deployment
  • Develop and validate machine learning models supporting demand forecasting and scenario modeling
  • Document analytical findings, model performance, and data definitions for transparency and reproducibility
  • Build and maintain Python-based data pipelines for ETL, model training, and automated forecasting workflows in collaboration with Data Engineers
  • Translate business data challenges into concrete data science and AI/ML problem statements
  • Leverage LLMs and prompt engineering to build tools that augment decision-making and automate workflows
Scenario Planning & Project Execution Analytics
  • Design and execute scenario planning models to test business assumptions and evaluate what-if outcomes
  • Track project execution data across P6 (Primavera) and other systems, linking planning assumptions to actual performance
  • Support variance analysis between planned assumptions and actual execution to identify gaps and trends
  • Build automated tracking solutions monitoring assumption validity through project lifecycle stages
  • Collaborate with Program Managers to refine planning assumptions based on execution learnings
  • Provide data pipelines and data to build executive dashboards visualizing assumption-to-execution alignment
Existing Data Ecosystem & Optimization
  • Review existing dashboards, models, and data pipelines to understand design patterns and data flows
  • Read and interpret SQL queries and business logic embedded in current reports and analytical systems
  • Identify opportunities to optimize or consolidate existing reporting and modeling assets
  • Maintain consistency with established data standards and best practices
Business Stakeholder Collaboration & Continuous Improvement
  • Translate complex data findings and model outputs into clear, actionable insights for technical and non-technical audiences
  • Support centralized, KPI-based reporting solutions for business stakeholders across global business lines
  • Collaborate with Data Analysts and Data Engineers to ensure data requirements are implemented correctly at the pipeline and infrastructure level
  • Stay current with AI, ML, and data science advancements, proposing new approaches to enhance solutions
REQUIREMENTS
  • Bachelor's degree in Data Science, Computer Science, Engineering, or related field.
  • Strong proficiency in Python (pandas, numpy, scikit-learn, scipy) and SQL.
  • Experience with statistical modeling, scenario/what-if analysis, and model validation.
  • Familiarity with enterprise data systems (SAP, Salesforce, Databricks) and LLM/prompt engineering concepts.
  • Strong communication skills and ability to work across international, multicultural teams.