Python AWS Cloud Developer

Overview

Remote
On Site
Accepts corp to corp applications
Contract - W2
Contract - Independent
25% Travel

Skills

Python
AWS
Lambda

Job Details

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)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.