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Python Programming Jobs in Georgia (NOW HIRING)

Develop scalable programming solutions, and implement data strategies that align with ... Python development, with experience creating python-based applications utilizing clean code ...

Mainframe Python

Atlanta, GA · On-site

$47 - $60.50/hr

Senior Python Engineer -- Mainframe (DB2/JCL) Location: Atlanta, GA (Onsite) Senior Python Engineer -- Mainframe (DB2/JCL) Design & build Python on z/OS (USS): Develop CLI tools, services, and batch ...

Python Software Developer Location: Alpharetta, Georgia Duration: Contract Job ID: 177231 Job ... Strong application design skills and object-oriented programming fundamentals. * Experience with ...

Software Developer, Python & CFML

Atlanta, GA · On-site

$49.25 - $68/hr

The developer is responsible for designing, developing, and maintaining web applications using Python and React technologies, working across both the front-end and back-end to ensure seamless ...

Python Software Developer

Alpharetta, GA · On-site

$49 - $67.50/hr

Strong programming skills in Java or Python. Solid understanding of object-oriented design and application architecture. Experience with REST services and event/message-driven architectures. Hands-on ...

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Python Programming information

See Georgia salary details

$11

$49

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How much do python programming jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for python programming in Georgia is $49.50, according to ZipRecruiter salary data. Most workers in this role earn between $40.82 and $56.20 per hour, depending on experience, location, and employer.

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 the language's versatility ensures continued relevance across various industries and job roles.

What are some common challenges Python programmers face when working on collaborative projects?

Python programmers often encounter challenges like maintaining code consistency, managing dependencies, and merging code changes when working with a team. Adhering to coding standards (such as PEP 8) and using tools like version control systems (e.g., Git) are crucial to streamline collaboration. Regular code reviews and clear documentation also help prevent misunderstandings and ensure smooth integration of each team member's contributions.

Are Python programmers still in demand?

Python programmers are currently in high demand across various industries such as technology, finance, and data science due to Python's versatility and widespread use in automation, machine learning, and web development. The demand is expected to grow as organizations increasingly adopt Python for their software solutions and data analysis needs.

What is the difference between Python Programming vs Data Analyst?

AspectPython ProgrammingData Analyst
Required SkillsProficiency in Python, scripting, algorithmsData interpretation, Excel, SQL, basic Python
Work EnvironmentSoftware development, coding projectsData analysis, reporting, business insights
Industry UsageTech, finance, automationMarketing, finance, healthcare

Python Programming involves writing code to develop software, automate tasks, and build applications, requiring strong coding skills. Data Analysts focus on interpreting data, creating reports, and providing insights, often using Python as a tool. While Python Programming emphasizes coding expertise, Data Analysts combine analytical skills with some programming knowledge. Both roles often overlap, especially when Data Analysts use Python for data manipulation and analysis.

Can I learn Python in 3 hours?

Python programming jobs typically require a solid understanding of core concepts, which cannot be fully learned in just three hours. While beginners can grasp basic syntax quickly, becoming proficient for a job usually takes weeks or months of consistent practice and learning. Short timeframes are insufficient for developing the skills needed for most Python-related roles.

What is Python programming?

Python programming refers to writing code in the Python language, a versatile and high-level programming language known for its readability and simplicity. Python is widely used for web development, data analysis, artificial intelligence, scientific computing, and automation. Its large standard library and active community make it a popular choice for both beginners and experienced developers. Python supports multiple programming paradigms, including procedural, object-oriented, and functional programming. Because of its simple syntax and vast ecosystem, Python is a great starting point for anyone looking to learn programming or develop complex applications.

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, you need strong proficiency in Python programming, knowledge of data structures and algorithms, and often a degree in computer science or a related field. Familiarity with popular libraries like Pandas, NumPy, and frameworks such as Django or Flask, along with experience using version control systems like Git, is typically required. Problem-solving ability, attention to detail, and effective communication are crucial soft skills that set top programmers apart. These competencies ensure efficient code development, successful collaboration, and the delivery of robust software solutions.

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 are the most commonly searched types of Python Programming jobs in Georgia? The most popular types of Python Programming jobs in Georgia are:
Infographic showing various Python Programming job openings in Georgia as of June 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $102,958 per year, or $49.5 per hour.

Full Stack Python Developer

Futran Tech Solutions Pvt. Ltd.

Atlanta, GA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Full Stack Python Developer
Alpharetta GA (2-3 Days per week onsite)
Project description
Provide software engineering in support of development to production of AI business cases. This role involves development and analytics of scalable solutions taking proof of concept to production. This position required someone who is a self-starter, self-sufficient with an open mindset and eager to learn.
Responsibilities
Data Ingestion & Processing Architecture
Multiple high-velocity data sources, including:
Event Hub from Postgres
Data pushed to Snowflake
Additional events across various internal systems
Heavy use of:
Kubernetes for scalable processing
Databricks / Spark for distributed compute
Snowflake for storage and downstream analytics
Skills
Must have
Backend Engineering:
Python (primary)
FastAPI (service/API development)
Full-stack engineering without UI (backend + data + infra only)
Cloud & Containerization:
Azure (core cloud environment)
Docker
Kubernetes / AKS
Experience running high-scale workloads in K8s
Data Engineering & Distributed Computing:
Spark / Databricks
Experience handling:
Very large datasets
Complex pipelines
High message volume
Mixed batch + streaming data flows
Designing & maintaining table schemas
Working with Snowflake
Database & Data Handling:
Strong SQL + data manipulation skills
Experience integrating multiple data sources
Comfort navigating event-streaming ecosystems
Nice to have
Hands-On LLM Integration:
Experience integrating LLMs into applications
Prompt design / optimization
RAG pipelines
Vector databases & embedding models
Model orchestration patterns
Security & compliance for AI systems
Model Monitoring & Optimization:
Prompt evaluation frameworks
Managing cost/performance tradeoffs
(Nice-to-have) MLOps practices supporting AI workloads