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Amazon Python Jobs in Ohio (NOW HIRING)

Python AWS Developer

Columbus, OH · On-site

$48.50 - $67/hr

Job Summary We are seeking a skilled Python AWS Developer to design, build, and deploy scalable, cloud-native applications on Amazon Web Services (AWS) . The role focuses on backend services, RESTful ...

$152K - $179K/yr

The Opportunity The Amazon Connect Technical Lead is the senior technical authority for complex ... Strong programming skills in Python, Java, or Node.js. Equal Opportunity Employer At TELUS Digital ...

Python, Bash, Powershell) * Familiarity with Linux Desired Skills: * Familiarity or experience interacting with modern cloud providers and related technologies, such as Amazon Web Services, Microsoft ...

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Amazon Python information

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How much do amazon python jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for amazon python in Ohio is $55.73, according to ZipRecruiter salary data. Most workers in this role earn between $45.91 and $63.32 per hour, depending on experience, location, and employer.

Is Python in demand in 2026?

Python remains a highly in-demand skill for roles like Amazon Python developers, with widespread use in automation, data analysis, and machine learning. Its versatility and popularity ensure continued demand across various industries, especially for those proficient in frameworks like Django or Flask and familiar with cloud environments. Job prospects are expected to stay strong through 2026 due to ongoing technological growth.

What are the typical daily responsibilities of an Amazon Python Developer?

As an Amazon Python Developer, your daily responsibilities often include designing, developing, and maintaining backend services or automations using Python, ensuring code quality through testing and reviews, and deploying solutions on AWS infrastructure. You’ll frequently collaborate with product managers, data engineers, and other software developers to deliver new features and resolve issues. Continuous learning and adaptation to new tools and best practices are encouraged, allowing you to contribute to large-scale, high-impact projects. This collaborative and fast-paced environment offers a great opportunity to refine your technical skills and grow within Amazon’s engineering teams.

What is an Amazon Python job?

An Amazon Python job typically involves using the Python programming language to develop, automate, and optimize software solutions within Amazon's ecosystem. These roles can range from software development and machine learning to data engineering and automation. Employees in these positions work with large-scale data, cloud computing (AWS), and various Python frameworks to enhance efficiency and scalability. Strong problem-solving skills, experience with AWS services, and proficiency in Python are usually required.

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

To thrive as an Amazon Python Developer, you need advanced proficiency in Python programming, experience with cloud technologies (preferably AWS), and a solid understanding of software development principles. Familiarity with frameworks such as Flask or Django, version control systems like Git, and relevant AWS certifications (e.g., AWS Certified Developer – Associate) are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills make candidates stand out. These competencies are essential to design scalable applications, collaborate with cross-functional teams, and ensure solutions align with Amazon's technical standards.

What job categories do people searching Amazon Python jobs in Ohio look for? The top searched job categories for Amazon Python jobs in Ohio are:

Python AWS Developer

Prophecy Technologies

Columbus, OH • On-site

$48.50 - $67/hr

Full-time

Posted 10 days ago


Job description

Job Summary
We are seeking a skilled Python AWS Developer to design, build, and deploy scalable, cloud-native applications on Amazon Web Services (AWS). The role focuses on backend services, RESTful APIs, automation, and CI/CD pipelines. The ideal candidate will have strong Python expertise, hands-on AWS experience, and the ability to collaborate effectively in Agile teams to deliver secure, high-performance cloud solutions.
Key Responsibilities
Application Development
  • Design, develop, test, and maintain backend cloud applications, APIs, and microservices using Python.
  • Build scalable and reusable components following clean code and best practices.

AWS Implementation
  • Develop and deploy solutions using AWS services such as:
  • Lambda, S3, EC2, IAM, CloudWatch
  • Container-based solutions using Docker and ECS
  • Design cloud architectures that are secure, scalable, and cost-efficient.

Automation & CI/CD
  • Create data pipelines and automate workflows.
  • Implement and maintain CI/CD pipelines for continuous integration and deployment.
  • Support infrastructure automation (Terraform is a plus).

Collaboration
  • Work closely with DevOps, front-end, and product teams to gather requirements and deliver features.
  • Participate in Agile ceremonies and contribute to sprint planning and delivery.

Code Quality & Best Practices
  • Write clean, efficient, and testable Python code.
  • Conduct and participate in code reviews.
  • Follow software engineering best practices and standards.

Maintenance & Optimization
  • Monitor, troubleshoot, and optimize cloud applications for:
  • Performance
  • Security
  • Reliability
  • Cost efficiency

Essential Skills & Qualifications
  • Strong proficiency in Python, including frameworks such as Flask and Django.
  • Solid understanding of AWS core services and cloud architecture.
  • Experience building and consuming RESTful APIs.
  • Hands-on experience with databases:
  • Relational: Amazon RDS
  • NoSQL: Amazon DynamoDB
  • Experience with Git for version control.
  • Hands-on exposure to Docker and CI/CD tools.
  • Strong understanding of Agile development and microservices architecture.

Desirable Skills
  • Container orchestration knowledge (Docker, Kubernetes).
  • Front-end basics (JavaScript, HTML).
  • Data engineering or data science exposure (Pandas, NumPy).
  • Infrastructure as Code experience (Terraform).