Data Engineer- Manager
Listed on 2026-01-01
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IT/Tech
AI Engineer, Data Engineer
5 days ago Be among the first 25 applicants
OverviewKPMG is known for being a great place to work and build a career. We provide audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients and supported by a culture that encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. We are consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair
360 and others. If you're as passionate about your future as we are, join our team.
KPMG is currently seeking a Data Engineer to join our Audit Technology Alliance organization.
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 prototyping and evolving data engineering strategies, pioneering techniques to handle complex data relationships and keep our context engineering capabilities state-of-the-art
- 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 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
- Experience in data preparation and structuring for Retrieval-Augmented Generation (RAG) systems, with hands-on knowledge of tools like Azure AI Search and understanding of data integration 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 Dev Ops, Git, CI/CD) with strong problem-solving skills to articulate complex data concepts and influence technical direction
KPMG LLP and its affiliates and subsidiaries comply with all local/state regulations regarding displaying salary ranges. If required, ranges are provided for locations listed. KPMG offers a comprehensive, competitive benefits package, including medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits. Benefits vary by eligibility and role.
Our Total Rewards package includes various benefits to support employees and their families. Details about benefits can be found on the KPMG US Careers site under Benefits & How We Work.
KPMG is an equal opportunity employer and complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by law. No phone calls or agencies please. KPMG recruits on a rolling basis.
Los Angeles County applicants: material job duties and related requirements are listed above. We consider qualified applicants with arrest and conviction records in accordance with applicable laws.
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