Data Engineer (Python & MCP Server)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (Python & MCP Server) in Alpharetta/Atlanta, GA, on a long-term contract. Requires 15+ years of experience, expertise in Python and MCP Server, and skills in ETL/ELT, data quality, and data integration.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
August 27, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Remote
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Atlanta, GA
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🧠 - Skills detailed
#Data Science #Automation #Python #Scala #"ETL (Extract #Transform #Load)" #Data Quality #Data Engineering #Data Processing #BI (Business Intelligence) #Data Pipeline #Programming #Version Control #Monitoring #Data Ingestion #Documentation #Data Integration #Batch
Role description
Job Title: Data Engineer (Python & MCP Server) Location: Alpharetta / Atlanta, GA (Onsite – No Remote) Duration: Long Term Contract Experience: 15+ Years Job Summary: We are seeking a skilled Data Engineer with strong expertise in Python programming and hands-on experience working with MCP (Model Context Protocol) Server to design, develop, and optimize data pipelines, integrations, and real-time data flows. The ideal candidate will have experience in building scalable data solutions, ensuring data quality, and supporting analytics and business intelligence initiatives. Key Responsibilities: β€’ Design, develop, and maintain ETL/ELT pipelines and data integration workflows using Python and MCP Server. β€’ Manage, monitor, and optimize data ingestion, transformation, and processing from various structured and unstructured data sources. β€’ Ensure data quality, consistency, and availability across systems and applications. β€’ Collaborate with data scientists, analysts, and application developers to deliver reliable and scalable data solutions. β€’ Implement best practices for data engineering, including version control, automation, testing, and monitoring. β€’ Support real-time data processing and batch data workloads within the MCP Server environment. β€’ Troubleshoot and resolve issues related to data pipelines, server performance, and data availability. β€’ Maintain documentation of data pipelines, schemas, and integration processes.