- Company Name
- Blue Chip Talent
- Job Title
- Data Engineer - Charlotte, NC (2 Days Onsite) #25472
- Job Description
-
**Job title**: Data Engineer
**Role Summary**
Data Engineer contracted for a 1‑year performance engagement. Focus is on building, maintaining, and optimizing data pipelines, deploying ML/GenAI solutions, and supporting BI reporting. Requires hands‑on production experience in Python, deep learning frameworks, NLP, and modern data engineering practices.
**Expectations**
- Deliver end‑to‑end data solutions in an Agile/SDLC environment for the duration of the engagement.
- Lead or collaborate on the creation of LLM‑based services (RAG, embeddings, vector DB, prompt workflows, fine‑tuning/LoRA, deployment).
- Produce reliable ETL/ELT and streaming pipelines, integrate with data lakes/warehouses, and expose data for analytics.
- Translate business requirements into functional SQL queries and BI dashboards.
- Demonstrate clear documentation, code quality, and testing practices aligned with project SDLC requirements.
**Key Responsibilities**
- Design, develop, and maintain scalable data pipelines using Python.
- Handle data ingestion, transformation, and loading across lake/warehouse/API/streaming sources.
- Build and deploy NLP/GenAI models utilizing TensorFlow or PyTorch, including RAG, embeddings, and vector databases.
- Create prompt workflows, perform model evaluation, and implement fine‑tuning or LoRA adjustments.
- Write efficient SQL for data extraction, transformation, and support BI/reporting dashboards.
- Participate in Agile ceremonies, provide status updates, and adhere to defined SDLC practices.
- Collaborate with cross‑functional teams to validate data quality, performance, and compliance.
**Required Skills**
- 2+ years of experience in Agile/SDLC delivery.
- Proficiency in Python for production pipeline development.
- Hands‑on experience with TensorFlow or PyTorch.
- Practical NLP application skills.
- Demonstrated LLM/GenAI implementation: RAG, embeddings + vector DB, prompt engineering, evaluation, fine‑tuning/LoRA, or deployment.
- Strong data engineering fundamentals: ETL/ELT, lake/warehouse, API, streaming.
- SQL expertise and experience with BI/reporting tools.
- Ability to work independently and collaboratively in a contract setting.
**Required Education & Certifications**
- Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.