Blue Chip Talent
Data Engineer - Charlotte, NC (2 Days Onsite) #25472
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Charlotte, NC, offering a one-year contract with a pay rate of "unknown." Key requirements include 2+ years in Agile/SDLC, hands-on Python, TensorFlow/PyTorch, practical NLP, and LLM/GenAI experience.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
December 9, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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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
#Data Pipeline #Data Engineering #Deployment #PyTorch #TensorFlow #Python #SQL (Structured Query Language) #NLP (Natural Language Processing) #"ETL (Extract #Transform #Load)" #Agile #BI (Business Intelligence) #API (Application Programming Interface)
Role description
Our client is looking to hire a Data Engineer for a one year contract. This role will be onsite (Hybrid) Monday and Thursday in Charlotte, NC.
Must Haves:
1. 2+ years working in Agile/SDLC delivery
1. Hands-on Python in production or pipeline work
1. Hands-on TensorFlow or PyTorch
1. Practical NLP experience
1. LLM / GenAI applied experience (At least one real build using LLMs: RAG, embeddings + vector DB, prompt workflows, evaluation, fine-tuning/LoRA, or deployment)
1. Data engineering fundamentals (Clear ETL/ELT or data pipeline experience (lake/warehouse/API/streaming).
1. SQL + BI/reporting exposure (Can write real SQL and support dashboards/reports)
1. 1 year of experience working on project(s) involving the implementation of solutions applying development life cycles (SDLC)
1. Bachelor’s Degree
Our client is looking to hire a Data Engineer for a one year contract. This role will be onsite (Hybrid) Monday and Thursday in Charlotte, NC.
Must Haves:
1. 2+ years working in Agile/SDLC delivery
1. Hands-on Python in production or pipeline work
1. Hands-on TensorFlow or PyTorch
1. Practical NLP experience
1. LLM / GenAI applied experience (At least one real build using LLMs: RAG, embeddings + vector DB, prompt workflows, evaluation, fine-tuning/LoRA, or deployment)
1. Data engineering fundamentals (Clear ETL/ELT or data pipeline experience (lake/warehouse/API/streaming).
1. SQL + BI/reporting exposure (Can write real SQL and support dashboards/reports)
1. 1 year of experience working on project(s) involving the implementation of solutions applying development life cycles (SDLC)
1. Bachelor’s Degree
