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Python Aws Jobs in Prosper, TX (NOW HIRING)

SRS Consulting Inc.

Python AWS Cloud Developer

Dallas, TX · On-site

$49.75 - $68.50/hr

Python AWS Cloud Developer Experience : Must have 9+ years of U.S.A work experience. Communication : Must have great communication skills to interact with leaders and other Southwest Airlines ...

1 point system

AI/ML Engineer

Plano, TX · On-site

Core Responsibilities (AI/ML, Python, AWS, GenAI) * Design and implement end-to-end AI/ML and Generative AI solutions using Python, including model training, evaluation, optimization, and deployment.

CCS INC

AWS Solution Architect

Plano, TX

$70 - $90/hr

Proficient in one of the application languages such as Java, Golang, Python * AWS Cloud experience mandatory * Experience in security and privacy * Some experience of DevOPs is a plus * Experienced ...

Signet Jewelers Ltd.

AWS Data Architect (Hybrid)

Irving, TX · On-site

$62.25 - $81.50/hr

Architect and implement scalable data platforms using AWS native services, with deep hands on expertise in Python, AWS Glue, API Gateway, Kinesis, AWS Lambda, SQL and Redshift * Ensure data ...

Avani Technology Solutions, Inc.

Node JS Developer

Plano, TX · On-site

$48 - $62/hr

At least 3 years of software development experience in Node JS, Python, REST APIs * 3+ years of experience in any Cloud technologies: AWS (Lambda, EC2, IAM, Security Groups, RDS, DynamoDB, ALB, ECS ...

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How much do python aws jobs pay per hour?

As of May 29, 2026, the average hourly pay for python aws in Prosper, TX is $53.68, according to ZipRecruiter salary data. Most workers in this role earn between $44.23 and $60.96 per hour, depending on experience, location, and employer.

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

To thrive as a Python AWS Developer, you need strong proficiency in Python programming, a solid understanding of cloud computing fundamentals, and experience with AWS services such as Lambda, EC2, and S3, often backed by a relevant degree or AWS certification. Familiarity with tools like AWS CLI, CloudFormation, and containerization platforms (e.g., Docker) is typically required. Problem-solving ability, effective communication, and adaptability are vital soft skills for collaborating and troubleshooting in dynamic cloud environments. These skills and qualifications are crucial for building scalable, secure, and efficient cloud-based applications that meet business needs.

How do Python AWS professionals typically collaborate with other teams in cloud-based projects?

Python AWS professionals often work closely with DevOps engineers, cloud architects, and software developers to design, develop, and deploy scalable cloud applications. Collaboration usually involves participating in sprint planning meetings, code reviews, and infrastructure discussions to ensure seamless integration of Python-based solutions with AWS services. Effective communication and familiarity with CI/CD pipelines are essential, as these roles require coordinating on deployments, troubleshooting, and optimizing cloud resources for performance and cost-efficiency.

What are Python AWS developers?

Python AWS developers are professionals skilled in using the Python programming language to build, deploy, and manage applications on Amazon Web Services (AWS). They leverage AWS services such as Lambda, EC2, S3, and others, often using Python libraries like Boto3 to automate cloud operations. These developers are responsible for creating scalable, cloud-native solutions and integrating various AWS services through Python scripts. Their expertise helps businesses efficiently use AWS resources and optimize cloud-based workflows.

What is the difference between Python Aws vs Cloud Engineer?

AspectPython AwsCloud Engineer
Required CredentialsAWS certifications, Python proficiencyCloud certifications (AWS, Azure, GCP), scripting skills
Work EnvironmentDevelopment, scripting, automation in cloud environmentsDesign, implement, manage cloud infrastructure
Employer & Industry UsageTech companies, startups, cloud service providersLarge enterprises, IT firms, cloud service providers
Common Search & ComparisonYesYes

Python Aws focuses on scripting and automation using Python within AWS environments, while Cloud Engineer involves designing and managing overall cloud infrastructure across multiple platforms. Both roles require cloud certifications, but Python Aws emphasizes coding skills, whereas Cloud Engineers focus on architecture and deployment.

What are popular job titles related to Python Aws jobs in Prosper, TX? For Python Aws jobs in Prosper, TX, the most frequently searched job titles are:
What job categories do people searching Python Aws jobs in Prosper, TX look for? The top searched job categories for Python Aws jobs in Prosper, TX are:
What cities near Prosper, TX are hiring for Python Aws jobs? Cities near Prosper, TX with the most Python Aws job openings:
Python Aws jobs near you
Python AWS Cloud Developer

Python AWS Cloud Developer

SRS Consulting Inc.

Dallas, TX • On-site

$49.75 - $68.50/hr

Contractor

PTO

Posted 9 days ago

Job description

Role: Python AWS Cloud Developer

Experience: Must have 9+ years of U.S.A work experience.

Communication: Must have great communication skills to interact with leaders and other Southwest Airlines employees.

Hours/Time Zone: Must be able to work 8 am CST 5 pm CST! (CST & EST candidates only)

Travel: Must be able to travel 1 week to Client Headquarters in Dallas to work onsite. This could be quarterly or monthly depending on the manager. (Expenses paid by SWA/Odyssey)

Vacation: No international travel / long vacations for the first 90 days.

Environment: Agile/Scrum/2-week sprints; Daily Video conference meetings

Interview Process: multi-step process all via Microsoft Teams video calls.

Overview:

Seeking a Python Developer to join the Data Lake team. This is a hands-on role focused on Python-based application development within AWS, supporting large-scale data movement and cloud-native orchestration workflows.

The successful candidate should be:

  • A backend Python developer who happens to work with data - not a data engineer who happens to code
  • Comfortable jumping into a complex, Lambda-driven environment with existing workflows
  • Can handle end-to-end application updates across multiple cloud services
  • A proactive communicator who thrives in remote collaboration settings
  • Excited by solving backend challenges and improving cloud workflows

Requirements:

  • 5 7+ years of hands-on experience with Python as your primary language
  • Moderate to strong experience with AWS services, especially:
    • Lambda
    • Step Functions
    • S3
    • Glue (nice to have)
  • Experience building and supporting cloud-based, event-driven workflows
  • Comfort working with large, sometimes legacy, codebases and optimizing performance
  • Strong understanding of cloud-native design and modern application practices
  • Knowledge of cloud architecture best practices
  • Familiarity with CI/CD and version control (e.g., Git, CodePipeline)
  • Ability to work independently and communicate effectively in a remote team
  • Must have great collaboration skills, personality fit and excellent communication skills

Key Responsibilities

  • Design, build, and maintain Python-based, serverless applications within AWS
  • Develop and optimize Lambda-heavy workflows using AWS services like Lambda, Step Functions, S3, and Glue
  • Tune existing pipelines to improve performance, reliability, and maintainability, especially for data movement across zones (Raw, Kafka, Refined, Replication)
  • Update and manage shared Python modules used across multiple functions
  • Refactor legacy code and streamline workflows by removing unnecessary processing steps and reducing payload size
  • Collaborate with teammates to break down large stories into deliverable pieces and ensure smooth development cycles
  • Participate in code reviews, testing, and deployment activities as part of an agile, cloud-native team

Nice to Have:

  • Experience with data pipelines or file ingestion systems
  • Exposure to Data Lake architectures or tools like Databricks (not required, but helpful)