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# Data Engineer- Manager

- **Company:** Kpmg LLP
- **Location:** Orlando, FL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Microsoft Azure, Information Systems, Computer Programming, Continuous Integration, Data Cleansing, Information Engineering, Data Systems, Python (Programming Language), Knowledge-Based Systems, Systems Development Life Cycle, Message Oriented Middleware, Search Technologies, Unstructured Data, Multi-Agent Systems, Generative AI, Git, Microsoft Fabric, Information Technology, Virtual Agents, Data Pipelines, Databricks, Microservices
- **Published:** September 22, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-engineer-manager-montvale-nj--50079f9a-e121-4998-88d4-ef55ad199ff3

## About the Role

* Minimum five years of recent professional experience in data engineering, with a proven track record of building data solutions that support AI-driven or advanced analytics systems
 * Bachelors degree from an accredited college or university; masters degree from an accredited college or university in Computer Science, Engineering, Information Systems, or a related field is preferred
 * Deep expertise in designing and building data pipelines that process both structured and unstructured data, preparing it for advanced AI consumption using cloud platforms like Databricks and Microsoft Fabric
 * Demonstrated experience in data preparation and structuring for Retrieval-Augmented Generation (RAG) systems, with hands-on knowledge of tools like Azure AI Search and a strong understanding of how data integrates into AI agent workflows
 * Strong, independent programming skills in Python and significant experience with microservice architecture, including building data APIs and interacting with asynchronous messaging systems
 * Proficiency with Agile methodologies and SDLC tools (Azure DevOps, Git, CI/CD) combined with excellent problem-solving skills to articulate complex data concepts and influence technical direction (200TEC)

## Description

* Take ownership of designing and implementing data pipelines focused on context engineering, transforming vast amounts of structured (e.g., transactional) and unstructured client data into high-quality inputs for our AI solutions
 * Set the standard for data engineering excellence, establishing and evangelizing best practices for processing and modeling diverse data sets to be analyzed by advanced generative AI agents
 * Serve as a key subject matter expert, collaborating closely with AI and solution architecture teams to define and deliver the specific data schemas and contextual payloads required by our AI orchestration frameworks
 * Support the development of Retrieval-Augmented Generation (RAG) and context engineering pipelines from audit knowledge sources and the integration into AI agent workflows; design and implement the use of metadata across knowledge systems to drive the use of context
 * Champion data quality by developing and implementing rigorous validation frameworks to ensure the reliability of all data sources, which is critical for generating verifiable AI outputs
 * Drive the product forward by personally prototyping and evolving our data engineering strategies, pioneering innovative techniques to handle complex data relationships and keep our context engineering capabilities state-of-the-art
 * Act with integrity, professionalism, and personal responsibility to uphold KPMGs respectful and courteous work environment