Full Stack Python Developer

Hays

UShybridPosted Jun 16, 2026
Posting intelligenceActively listedReposted 2×, possible evergreen/ghost posting

Skills

confluenceprinciplegitlabpythonpytestazurereactjirajestaws

About the role

Job Title: Python Developer (Full Stack)

Location: Fort Mill, SC (Hybrid – 3 days onsite)

Address: 580 Kingsley Park Dr, Fort Mill, SC 29715

Contract Duration: 12 Months

Job Summar

yWe are seeking a skilled Python Full Stack Developer with strong backend expertise and hands-on frontend experience in React. The role involves developing and maintaining AWS-hosted web applications and collaborating closely with data modelers, analysts, and business stakeholders across multiple product teams

.Key Responsibilitie

sDevelop and maintain web applications using Python (backend) and React (frontend

)Write clean, scalable, and efficient code following best practice

sOptimize applications for performance, speed, and scalabilit

yDebug, troubleshoot, and enhance existing application

sCollaborate with cross-functional teams including data analysts and business user

sParticipate in code reviews and ensure adherence to development standard

sMaintain proper documentation of code, processes, and data ownershi

pEnsure compliance with internal data standards and policie

sStay updated with new tools, technologies, and industry trend

sRequired Skills & Experienc

e5+ years of experience in an enterprise environmen

tStrong proficiency in Python with solid understanding of OOP principle

sExperience with Python libraries such as

:Panda

sNumP

yDatetim

eRege

x2+ years of frontend experience

:Reac

tJavaScrip

tHTML, CS

SBasic SQL Server experience

:Writing querie

sStored Procedures (SPs

)Hands-on experience with version control systems

:Git (Bitbucket or GitLab preferred

)Experience with

:Jira (bug tracking

)Confluence (documentation

)Familiarity with testing frameworks

:PyTest / UnitTest (Python

)Jest (Frontend

)Preferred / Nice-to-Have Skill

sExperience with cloud platforms (AWS, Azure

)Exposure to data engineering tools

:Databrick

sAzure Data Factory (ADF

)AWS Glu

eKnowledge of ETL / ELT pipeline

s

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