Senior Data Engineer

Pentangle Tech Services | P5 Group; Michigan; On-site; USD 120,000 - 180,000; Full time

Job summary

Pentangle Tech Services | P5 Group is seeking a Senior Data Engineer to build AI-ready data platforms, integrating diverse sources into VESSEL, enabling vectorization for Agentic AI and Retrieval-Augmented Generation (RAG).

You will design scalable cloud-native data pipelines, create vector stores, develop semantic search and knowledge retrieval frameworks, and build data services powering AI agents and prompt engineering.

Qualifications

• 10+ years of experience in Data Engineering.
• Strong Python, Spark and SQL skills.
• Experience with vector databases and embeddings.
• Experience with Retrieval-Augmented Generation (RAG).
• Knowledge of Agentic AI architectures.

Responsibilities

• Integrate structured and unstructured data into VESSEL.
• Design and implement data ingestion pipelines.
• Create vectorized data repositories for AI apps.
• Develop semantic search and knowledge retrieval frameworks.
• Build data services for AI agents and prompt engineering.
• Design scalable cloud-native data platforms.
• Optimize data quality, governance, and performance.

Skills

10+ years of data engineering

Python

Spark

SQL

Data processing frameworks

Vector databases

Embeddings

RAG

Agentic AI architectures

Tools

Azure OpenAI

Vertex AI

LangChain

MCP (Model Context Protocol)

Job description

Senior Data Engineer (Agentic AI / RAG Platform) - Onsite

Location: Onsite

Job Summary

We are looking for a Senior Data Engineer to build advanced AI-ready data platforms, integrating new data sources into VESSEL, enabling vectorization, and creating data foundations for Agentic AI, Retrieval-Augmented Generation (RAG), and intelligent agents.

Key Responsibilities

• Integrate structured and unstructured data sources into VESSEL.
• Design and implement data ingestion pipelines.
• Create vectorized data repositories for AI applications.
• Develop semantic search and knowledge retrieval frameworks.
• Build data services supporting AI agents and prompt engineering.
• Design scalable cloud-native data platforms.
• Optimize data quality, governance, and performance.

Required Skills

• 10+ years of experience in Data Engineering.
• Strong expertise in Python, Spark, SQL, and data processing frameworks.
• Deep understanding of vector databases and embeddings.
• Experience with Retrieval-Augmented Generation (RAG).
• Knowledge of Agentic AI architectures.

Preferred Skills

• Experience with Azure OpenAI, Vertex AI, LangChain, or similar frameworks.
• Knowledge of MCP (Model Context Protocol).
• Automotive, engineering, or manufacturing data experience