Sr. Python Developer (AWS/Pandas) role @ Chicago, IL

Job Title: Sr. Python Developer (AWS/Pandas)

Client: United Airlines

Job ID: UALJP00016386

Location:  233 South Wacker Drive, Chicago, IL 60606 (Hybrid)

Durations: 6-12 Months with possible extensions or conversion.

 

·         Only Local candidates. Airline experience(highly preferred)

·         In-Person Interview – Required.

·         No Relocation candidates.

 

Job Overview:

We are seeking a highly skilled Senior Python Developer with deep expertise in Python (Pandas) to support a large-scale enterprise platform migration project on AWS. This is a hands-on software development role focused on complex data manipulation, business logic implementation, and backend development, not web development, API development, or traditional ETL engineering.

The ideal candidate will have extensive experience writing production-grade Python code that processes and transforms large datasets while leveraging AWS cloud technologies. This position requires strong coding skills, experience with containerization, cloud-native development, and Agile software delivery.

Required:

·         8+ years of Python development experience

·         6+ years of recent hands-on experience using Python Pandas (required)

·         Strong experience developing applications on AWS

·         Experience with:

o    boto3

o    Docker

o    Git

o    Linux

o    Windows

·         Experience working in Agile development environments

·         Experience with CI/CD pipelines and DevOps practices

·         Experience using observability tools such as:

o    CloudWatch

o    Dynatrace

o    Datadog

Responsibilities:

·         Design, develop, test, and maintain enterprise software applications using Python.

·         Build scalable backend solutions running on AWS.

·         Develop complex data processing applications using Python Pandas.

·         Manipulate and transform large datasets while implementing sophisticated business logic.

·         Design clean, maintainable, and efficient code following software engineering best practices.

·         Deploy and support applications using Docker containers.

·         Work within Linux and Windows development environments.

·         Participate throughout the Software Development Life Cycle (SDLC).

·         Collaborate with architects, platform engineers, developers, QA, and business stakeholders.

·         Troubleshoot production issues and perform root cause analysis.

·         Monitor applications using observability tools.

·         Participate in Agile ceremonies including sprint planning, standups, retrospectives, and code reviews.

·         Create technical documentation and contribute to architectural decisions.

·         Build and maintain CI/CD deployment pipelines.

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