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In Python Programming Jobs in South Carolina (NOW HIRING)

CYNET SYSTEMS

Markit EDM Developer

Fort Mill, SC · On-site

$55 - $60/hr

Proficiency in Python or Spark-based data processing. Responsibilities: * Lead design and ... Azure DevOps. * Use Infrastructure as Code (IaC) tools such as Terraform and CloudFormation.

SAIC

DevSecOps Engineer

North Charleston, SC · On-site

Python for helpers/tests; Helm for Kubernetes deployments; MkDocs/ADRs for documentation ... Delivery Expectations: trunk-based GitLab workflows, deterministic pipelines with built-in testing ...

SAIC

DevSecOps Engineer

North Charleston, SC · On-site

Python for helpers/tests; Helm for Kubernetes deployments; MkDocs/ADRs for documentation ... Delivery Expectations: trunk-based GitLab workflows, deterministic pipelines with built-in testing ...

Mercedes-Benz Cars UK Limited

AI Engineer

Ladson, SC · On-site

$111K - $134K/yr

Programming in Python or similar. Cloud platforms experience (Azure, AWS). Data analysis and database knowledge. Proven experience in AI development with a strong understanding of machine learning ...

Daimler

AI Engineer

Ladson, SC

$111K - $134K/yr

Programming in Python or similar. Cloud platforms experience (Azure, AWS). Data analysis and database knowledge. Proven experience in AI development with a strong understanding of machine learning ...

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All JobsIn Python Programming JobsIn Python Programming Jobs in South Carolina

In Python Programming information

What is Python programming?

Python programming refers to writing code using the Python language, a versatile and widely-used high-level programming language. Python is known for its simple syntax, readability, and broad applicability in fields like web development, data analysis, artificial intelligence, automation, and more. It supports multiple programming paradigms, including procedural, object-oriented, and functional programming. Python's extensive standard library and vibrant community make it an excellent choice for beginners and experienced developers alike.

Are Python still in demand in 2026?

Python programming remains highly in demand in 2026 due to its widespread use in data science, web development, automation, and artificial intelligence. Employers value Python skills, and proficiency with frameworks like Django or libraries such as Pandas can enhance job prospects for Python developers.

What are some common challenges Python programmers face when working on team-based projects?

Python programmers often encounter challenges related to code consistency, version control, and communication when collaborating in team environments. Ensuring that everyone follows established coding standards, such as PEP 8, helps maintain readability and reduces merge conflicts. Additionally, effective use of tools like Git for version control and regular code reviews are essential for smooth collaboration. Clear communication and thorough documentation also play key roles in preventing misunderstandings and ensuring project success.

Will AI replace Python coders?

AI tools can automate certain programming tasks, but Python programmers are essential for designing, developing, and maintaining complex software systems. AI can assist coders by increasing productivity and handling repetitive tasks, but human expertise remains crucial for problem-solving, creativity, and understanding project requirements.

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

To thrive as a Python Programmer, proficiency in Python syntax, algorithms, and data structures, often supported by a degree in computer science or related field, is essential. Familiarity with development tools like Git, frameworks such as Django or Flask, and experience with databases are typically required. Problem-solving abilities, strong communication, and adaptability help programmers collaborate effectively and tackle complex coding challenges. These skills ensure the delivery of efficient, reliable software solutions in diverse technical environments.

What jobs can I do with just Python?

With Python skills, you can pursue roles such as Python developer, data analyst, automation engineer, or backend programmer. These jobs often require knowledge of libraries like pandas, Django, or Flask, and may involve tasks like scripting, data processing, or web development.

What is the difference between In Python Programming vs Data Analyst?

AspectIn Python ProgrammingData Analyst
Required SkillsProficiency in Python, scripting, debuggingData interpretation, Excel, SQL, basic Python
Work EnvironmentSoftware development, coding projectsData analysis, reporting, business insights
Industry UsageTech, software, automationFinance, marketing, healthcare

While both roles involve working with data and Python, In Python Programming focuses on coding, scripting, and software development, whereas Data Analysts primarily interpret data, create reports, and support business decisions. Python skills enhance a Data Analyst's capabilities but are not the sole focus of their role.

What jobs include Python?

Python is used in a variety of roles including software developer, data analyst, data scientist, machine learning engineer, web developer, automation engineer, and cybersecurity analyst. These jobs often require knowledge of Python programming, libraries like Pandas or TensorFlow, and familiarity with development environments such as Git or Jupyter Notebook.
What cities in South Carolina are hiring for In Python Programming jobs? Cities in South Carolina with the most In Python Programming job openings:
In Python Programming jobs near you
Expert Contributor - Software Engineer

Expert Contributor - Software Engineer

Arise Virtual Solutions

Charleston, SC

Contractor

Posted 19 days ago

Job description

Expert Contributor - Software Engineer
Task-Based Independent Contractor Opportunity
Overview
We're looking for engineers who can operate at an expert level across real-world, end-to-end tasks in terminal environments. Think compiling code, setting up servers, building data pipelines, and handling complex system administration autonomously. You'll design intricate, verifiable terminal tasks spanning Python scripting, automation, data pipelines, software engineering, system administration, and infrastructure. Each task needs a clear, reproducible solution with automated verification criteria. This is a great fit for someone who thrives on deep technical problem-solving and wants flexible, task-based project opportunities.
Key Responsibilities
  • Design complex, verifiable terminal tasks that span Python scripting, automation, data pipelines, and infrastructure setup.
  • Compile code, configure servers, and handle system administration tasks autonomously in terminal environments.
  • Develop clear, reproducible solutions with automated verification criteria for each task.
  • Evaluate and review AI-generated code outputs, identifying suboptimal solutions and suggesting improvements.
  • Provide multi-turn feedback across conversation-based evaluation sessions.
  • Collaborate asynchronously with the project team to refine task quality and difficulty calibration.

Required Qualifications
  • Deep fluency in Python and Linux/Unix environments, shell scripting, containerization (Docker/Kubernetes), and package/environment management.
  • Strong code review instincts with the ability to identify suboptimal solutions, suggest improvements, and evaluate competing approaches across multiple turns of a conversation.
  • Proficiency in at least one major programming language (e.g., Python, C++, Java, Go, JavaScript).
  • 3+ years of professional experience in software engineering, DevOps, or a related technical discipline.

Preferred Qualifications
  • Background in one or more of: DevOps, SRE, Platform Engineering, Backend/Systems Engineering, or Security/Penetration Testing.
  • Familiarity with agent evaluation frameworks, CI/CD integration, or long-horizon planning in automated pipelines.
  • Experience contributing to open-source projects or technical documentation.
  • Comfort with asynchronous, self-directed project execution.

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