Source description
About the role
Job Description
W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.
Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters -->
Job Overview
Job ID: J52894
Posted Date: 01/14/2026
--> Specialized Area: Python
--> Job Title: Python Developer
Location: Chantilly, VA
Duration: 21 Months + Extension
Hourly Rate: Depending on Experience (DOE)
Domain Exposure: Healthcare, IT/Software
--> Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
Client: To Be Discussed Later
Employment Type: W-2, 1099, C2C Bench Recruiter: Natalie thomas
-->
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Full job description
Role Highlights
Work closely with the Chief Engineer and Technical Leads to translate requirements into user stories and integrate new functionality into various software applications.
Build and implement automated testing frameworks to ensure high code quality and robust CI/CD deployment processes.
Develop web APIs to interface with cloud applications and databases, contributing to cloud-native software applications.
Collaborate effectively as part of an Agile team to deliver software iteratively.
Integrate Python code into Docker containers as part of a distributed architecture.
Design software application components independently based on requirements.
Guide technical design and architecture, ensuring alignment with best practices.
Interface directly with customer stakeholders to align on requirements and technical implementations.
Required Skills:
Minimum 3-5 years’ experience with:
Active TS/SCI w/Polygraph security clearance is required.
Data Processing Python Libraries such as PySpark, Pandas, and Numpy.
API development in Python using libraries such as FastAPI.
Unit Testing Frameworks in PyTest and Mocking.
Preferred Skills/Experience:
Experience with Python ORM tools for database as code, such as SQLAlchemy.
Experience deploying containerized Python code using Docker on cloud platforms such as AWS.
Experience using NLP toolkits and frameworks to integrate into production systems.
Experience deploying AI Models into production using Python Libraries and Frameworks.
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