Sr. Data & Knowledge Engineer

Job Title : Sr. Data & Knowledge Engineer
Location: Oaks, PA
Duration : 6 Months

Salary Range: $50.00 - $52.00/Hour on W2 (Without Benefits).
Applicants must be willing to work on W2

Experience Required: 10+ Years
Skills: AI Agents, AI & GenAI Products and Tools
Role Overview
The Senior Data & Knowledge Engineer will build the data and knowledge foundation required for reliable enterprise AI solutions, with particular emphasis on Retrieval-Augmented Generation (RAG), enterprise knowledge integration, content ingestion, embeddings, and AI-ready data pipelines.
Key Responsibilities

• Design data and knowledge architectures for AI and GenAI applications.
• Build ingestion and transformation pipelines for structured and unstructured enterprise information.
• Design RAG pipelines and enterprise knowledge-retrieval solutions.
• Implement chunking, metadata, embeddings, indexing, retrieval, and reranking strategies.
• Build and optimize vector-search capabilities.
• Integrate databases, documents, APIs, knowledge repositories, and other enterprise sources.
• Develop processes for improving knowledge quality, freshness, lineage, and traceability.
• Support structured data integration for AI agents and applications.
• Work with AI engineers to improve grounding and retrieval quality.
• Implement appropriate access controls for enterprise knowledge.
• Develop reusable data and knowledge components that can support multiple AI use cases.

Required Skills

• Strong data engineering background.
• Advanced Python and SQL.
• Experience with modern data platforms and cloud-native data services.
• Hands-on knowledge of RAG, embeddings, vector databases, semantic search, and information retrieval.
• Experience processing structured and unstructured data.
• Understanding of data quality, metadata, lineage, security, and governance.
• Knowledge of AI agents and AI/GenAI products and tools.

Preferred Experience

• 8+ years in data engineering, information management, or knowledge engineering.
• Experience developing production RAG solutions.
• Familiarity with knowledge graphs and semantic technologies is desirable.

Kind Regards,

Aakaash Shelkey
Associate Recruiter – Staffing


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