Signature IT World Inc
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer focused on Generative AI in Charlotte, NC. It is a long-term contract requiring 5+ years of experience in AI Data Engineering, advanced Python skills, and expertise in Neo4J and ETL/ELT pipelines.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 3, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Charlotte, NC
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🧠 - Skills detailed
#SQL (Structured Query Language) #Langchain #Data Engineering #"ETL (Extract #Transform #Load)" #Logging #Monitoring #Neo4J #Python #AI (Artificial Intelligence) #Data Quality
Role description
Lead Gen AI & Data Engineer
Charlotte, NC
Long Term Contract
Must have: graph and Neo4J experience.
Mandatory Skills
• 5+ years in Gen AI, AI Data Engineering, and Agentic AI-focused roles.
• Advanced Prompt Engineering, Context Engineering skills, Python skills.
• Hands-on experience building agentic AI solutions using Google ADK + LangChain/LangGraph, including orchestration and tool usage patterns.
• Strong Python development skillsfor backend services, workflow engines, and AI pipelines.
Solid data engineering expertise:
• Building ETL/ELT pipelines
• Integrating data from multiple SoRs (APIs, DBs, files, streams)
• Working with data quality, schema evolution, and lineage
• Advanced SQL proficiency(complex joins, window functions, query optimization).
• Experience with RAG architecturesand integrating LLMs with enterprise data sources (vector stores + relational systems).
• Production-grade engineering practices: testing, CI/CD, logging, monitoring, and error handling.‘
• Prompt engineering / Prompt finetuning
Lead Gen AI & Data Engineer
Charlotte, NC
Long Term Contract
Must have: graph and Neo4J experience.
Mandatory Skills
• 5+ years in Gen AI, AI Data Engineering, and Agentic AI-focused roles.
• Advanced Prompt Engineering, Context Engineering skills, Python skills.
• Hands-on experience building agentic AI solutions using Google ADK + LangChain/LangGraph, including orchestration and tool usage patterns.
• Strong Python development skillsfor backend services, workflow engines, and AI pipelines.
Solid data engineering expertise:
• Building ETL/ELT pipelines
• Integrating data from multiple SoRs (APIs, DBs, files, streams)
• Working with data quality, schema evolution, and lineage
• Advanced SQL proficiency(complex joins, window functions, query optimization).
• Experience with RAG architecturesand integrating LLMs with enterprise data sources (vector stores + relational systems).
• Production-grade engineering practices: testing, CI/CD, logging, monitoring, and error handling.‘
• Prompt engineering / Prompt finetuning
