Data Engineer

• Design and maintain end-to-end RWD data architectures that leverage centralized, federated, and hybrid platforms while honoring complex DUAs, licensing terms, and privacy constraints
• Define and evolve canonical data models, ontologies, metadata standards, and mapping strategies for real-world data sources, including implementation and management of changes over time
• Partner with Data Linkage and PPRL subject matter experts so that linked data sets are structured, indexed, and partitioned to support efficient, reproducible research results and analytics
• Architect cloud-native data flows and pipelines that meet FedRAMP/FISMA Moderate expectations and Zero Trust-aligned security requirements
• Translate DUAs, IRB and Privacy Board decisions, and data broker/licensing agreements into technical controls, including deidentification, access, retention and audit rules
• Implement and oversee data catalog, lineage, and metadata services so investigators and partners can discover available data assets, understand providence and linkage methods, and select appropriate data for studies, trials, and other use cases
• Collaborate with real-world data initiatives and partners to align data models, APIs, and governance approaches, ensuring interoperability and re-use of data and methods across platforms
• Provide architectural guidance and best practices to multidisciplinary teams (IT engineers, data engineers, linkage experts, security, analysts, and scientific users) and contribute to technical documentation, training materials, and design reviews
• Support the growth of the FedHealth division by developing and maintaining high quality relationships with customers and partners, ensuring alignment with the National Institutes of Health's strategic direction.

Senior Real-World Data Architect

Senior Data Engineer

Staff Data Engineer

Senior Data Engineer

Senior Data Engineer – Financial Substantiation Platform