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KPMG US · 6 hours ago

Data Engineer- Manager

Orlando, FL

Full-time

Onsite

Senior Level

5+ years exp

KPMG is a leading provider of audit, tax, and advisory services, known for fostering a great workplace culture. They are seeking a Data Engineer- Manager to design and implement data pipelines, ensuring high-quality data inputs for AI solutions and establishing best practices for data engineering excellence.

Financial Services

H1B Sponsor Likely

Responsibilities

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

Qualification

Data engineeringBuilding data pipelinesAI-driven solutionsPython programmingCloud platformsAgile methodologiesMicroservice architectureProblem-solving skillsTeam collaboration

Required

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

Bachelor's degree from an accredited college or university; master's 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

Preferred

Master's degree from an accredited college or university in Computer Science, Engineering, Information Systems, or a related field

Benefits

A variety of medical and dental plans

Vision coverage

Disability and life insurance

401(k) plans

A robust suite of personal well-being benefits to support your mental health

Personal Time Off per fiscal year

A calendar of holidays to be observed during the year

Two breaks each year where employees will not be required to use Personal Time Off

Company

KPMG US

Glassdoor3.6

KPMG is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm in the United States.

Founded in 1987

New York, NY, US

10001+ employees

http://www.kpmg.com/US

H1B Sponsorship

KPMG US has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (410)

2024 (441)

2023 (388)

2022 (564)

2021 (592)

2020 (781)