Data Engineering Manager for AI Pipelines & Context

KPMG LLP; Washington (District of Columbia); On-site; USD 110,000 - 170,000; Full time

Job summary

KPMG LLP is seeking a Data Engineer to join our Audit Technology Alliance organization. You will design and implement data pipelines, transforming structured and unstructured client data into high-quality inputs for AI solutions.

You will collaborate with AI and solution architecture teams to define data schemas, support RAG pipelines, and ensure data quality across knowledge systems to drive effective AI workflows.

Qualifications

• Deep expertise in designing data pipelines for structured and unstructured data.
• Experience with AI-ready data preparation and RAG systems.
• Strong programming skills in Python and microservice architectures.

Responsibilities

• Take ownership of designing and implementing data pipelines for context engineering.
• Collaborate with AI and solution architecture teams to define data schemas.
• Support RAG pipelines and integration into AI agent workflows.
• Champion data quality with rigorous validation frameworks.

Skills

Python

Data pipelines

RAG data prep

Agile

Azure DevOps

Git

CI/CD

Databricks

Microsoft Fabric

Azure AI Search

Asynchronous messaging

Education

Bachelor’s degree

Master’s degree

Tools

Databricks

Microsoft Fabric

Azure AI Search

Azure DevOps

Git

CI/CD

Job description

KPMG LLP is seeking a Data Engineer to join our Audit Technology Alliance organization. You will design and implement data pipelines, transforming structured and unstructured client data into high-quality inputs for AI solutions.

You will collaborate with AI and solution architecture teams to define data schemas, support RAG pipelines, and ensure data quality across knowledge systems to drive effective AI workflows.