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Python S Jobs in Lithonia, GA (NOW HIRING)

Pwc

GenAI Python Systems Engineer-Manager

Atlanta, GA

$99K - $232K/yr

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Pwc

GenAI Python Systems Engineer-Director

Atlanta, GA

$155K - $410K/yr

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and structured/unstructured data ...

United Airlines

Python Data Engineer

Atlanta, GA

$110.10K - $132.20K/yr

Good understanding of Java or Scala and Python programming * Basic knowledge of Apache Spark Spark ... S. and Canada, available benefits are determined by local policy and eligibility and may include:

United Airlines

Tool / Platform Engineer

Atlanta, GA · On-site

... GCP using Python programming * This role is ideal for someone eager to build scalable data ... S. and Canada, available benefits are determined by local policy and eligibility and may include:

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$12

$53

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How much do python s jobs pay per hour?

As of May 30, 2026, the average hourly pay for python s in Lithonia, GA is $53.52, according to ZipRecruiter salary data. Most workers in this role earn between $44.13 and $60.77 per hour, depending on experience, location, and employer.

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

To thrive as a Python Software Engineer, you need strong proficiency in Python programming, problem-solving abilities, 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 experience with databases are typically expected, along with relevant certifications like PCEP or PCAP being a plus. Effective communication, teamwork, and adaptability are vital soft skills that help engineers collaborate and respond to changing project requirements. These combined skills ensure the ability to build robust, scalable applications and contribute effectively to development teams.

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

Python Software Engineers working on large-scale projects often encounter challenges such as managing codebase complexity, ensuring code performance, and maintaining effective collaboration within cross-functional teams. As projects grow, it's crucial to implement robust testing, documentation, and version control practices to avoid technical debt. Additionally, optimizing Python code for speed and memory efficiency can be important, especially when dealing with high-traffic systems or big data. Regular communication with product managers, designers, and other developers helps ensure that project goals are met efficiently and any issues are addressed early.

What are Python Software Engineers?

Python Software Engineers are professionals who design, develop, test, and maintain software applications using the Python programming language. They work on a variety of projects, including web development, data analysis, automation, artificial intelligence, and more. Their role often involves writing clean, efficient code, collaborating with other developers or teams, and solving technical problems. Python Software Engineers are valued for their versatility, as Python is used across many industries and for diverse applications.

What is the difference between Python S and Python Developer?

AspectPython SPython Developer
Required CredentialsTypically no formal certification, but familiarity with Python basicsBachelor's in CS or related field, often with Python certifications
Work EnvironmentResearch labs, academic settings, or specialized industriesTech companies, startups, or software development firms
Industry UsageUsed mainly in research, data analysis, or academic projectsDeveloping applications, web services, automation scripts
Common Search/ComparisonOften compared in academic or research contextsMore common in job listings and industry roles

Python S typically refers to a specialized or research-focused use of Python, often in academic or scientific settings, whereas Python Developer is a broader industry role focused on developing software applications using Python. While both require familiarity with Python, Python Developer roles usually demand additional programming skills and industry experience.

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

Full Stack Python Developer

Futran Tech Solutions Pvt. Ltd.

Atlanta, GA • On-site

Full-time

Posted 29 days ago

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

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