Senior Data Engineer

Pentangle Tech Services | P5 Group; Dearborn (MI); On-site; USD 130,000 - 170,000; Full time

Job summary

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

You will design scalable cloud-native data systems, develop ingestion pipelines, and create vectorized data repositories to support AI applications and prompt engineering.

Qualifications

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

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.

Skills

Python

Spark

SQL

Data pipelines

Vector databases

Embeddings

RAG

Agentic AI

Tools

Azure OpenAI

Vertex AI

LangChain

MCP

Job description

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

Experience: 10-15 Years

Full Time

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