Python Developer

Job Title:            Python Developer

Job Location:     Dallas, TX 7523  - Remote 

Duration:           Long Term

Overview:

Seeking a Python Developer (mid to senior level) 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

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

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
• Ability to work independently and communicate effectively in a remote team

Nice to Have:

• Experience with data pipelines or file ingestion systems
• Knowledge of cloud architecture best practices
• Familiarity with CI/CD and version control (e.g., Git, CodePipeline)
• Exposure to Data Lake architectures or tools like Databricks (not required, but helpful)