Knowledge Engineer

Role :- Knowledge Engineer Location :- Remote [USA] Contract Knowledge Engineer Key Responsibilities • Design and maintain enterprise knowledge repositories and document management solutions using SharePoint. • Work closely with business users, healthcare SMEs, data engineers, and architects to capture, organize, and govern organizational knowledge. • Develop and maintain metadata models, taxonomies, and information architecture standards. • Build and optimize data pipelines using Databricks and Snowflake to support reporting, analytics, and AI initiatives. • Transform healthcare data from multiple source systems into usable business knowledge assets. • Collaborate with data engineering teams to ensure data quality, lineage, governance, and accessibility. • Support enterprise search, knowledge discovery, and AI-powered information retrieval initiatives. • Create and maintain documentation, knowledge articles, process flows, and technical standards. • Work with structured and unstructured healthcare data, including clinical, operational, and financial datasets. • Participate in data governance activities and ensure compliance with healthcare regulations and organizational policies. • Partner with cross-functional teams to improve knowledge sharing and reduce information silos across the organization. Required Skills & Experience • 8+ years of overall IT experience. • 4+ years of experience in Knowledge Management or Knowledge Engineering roles. • Strong hands-on experience with SharePoint Online and Microsoft 365 collaboration tools. • Experience working with Databricks, Apache Spark, and Lakehouse architectures. • Strong experience with Snowflake data warehousing and data modelling. • Solid understanding of Data Engineering concepts including ETL/ELT, data integration, and data quality management. • Experience working within healthcare environments and healthcare data domains. • Knowledge of healthcare standards such as HL7, FHIR, ICD, Claims, Provider, and Member data is highly desirable. • Strong SQL and data analysis skills. • Experience with Python, PySpark, or similar data engineering technologies. • Understanding of enterprise information architecture, metadata management, and taxonomy design