Public Health Interoperability Lead – Senior Public Health Data Analyst

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee interoperability and data integration efforts across public health systems, platforms, and partner organizations at the CDC.

• Create, develop, implement, and sustain data exchange workflows, APIs, integration services, and data pipelines.

• Facilitate secure and efficient data transfer among surveillance, research, laboratory, operational, and reporting systems.

• Produce interface specifications, data mappings, integration documentation, and technical procedures.

• Assist in onboarding and integrating new data sources, systems, and external partners.

• Lead the transition of legacy SAS-based analytics, reporting, and data management workflows to contemporary cloud-based platforms.

• Contribute to CDC's data modernization initiatives and enterprise integration projects.

• Support scalable data lake, lakehouse, and modern analytics architectures.

• Collaborate with leads in Data Governance, Data Quality, and Operations.

• Design, develop, test, and maintain solutions for integration and interoperability.

• Create and enhance ETL/ELT processes, APIs, data transformation workflows, and cloud-native data processing solutions.

• Develop reusable code, technical documentation, and integration patterns.

• Diagnose and resolve issues related to data integration, interoperability, performance, and data exchange.

• Engage in code reviews, testing activities, and deployment processes.

• Mentor junior developers and technical staff.

• Analyze business and technical requirements concerning interoperability, integration, and data exchange.

• Identify technical risks, integration challenges, and opportunities for modernization.

• Coordinate testing, validation, troubleshooting, and resolution of interoperability issues.

• Participate in architecture reviews, modernization planning, and technical working groups.

• Liaise with CDC stakeholders, technical teams, data providers, and external partners.

• Provide technical assistance related to interoperability and data exchange.

• Present technical recommendations, architectural approaches, and modernization strategies to leadership and stakeholders.

⛳️ Requirements

• A Bachelor's degree in Computer Science, Data Science, Health Informatics, Public Health Informatics, Information Systems, Engineering, or a related field.

• More than 8 years of experience in public health data integration, interoperability, data engineering, analytics, or modernization initiatives.

• Practical experience in developing data pipelines, ETL/ELT processes, APIs, and integration workflows.

• Proficient SQL skills and experience with relational and analytical data platforms.

• Hands-on experience with Python, PySpark, R, SAS, or similar analytics and data engineering languages.

• Experience in cloud-based analytics, data engineering, or modernization environments.

• Experienced in managing large-scale data integration and modernization projects.

• Strong analytical, troubleshooting, and problem-solving abilities.

• Excellent written and verbal communication skills.

• Ability to work efficiently across technical and business teams.

• U.S. Citizenship is required.

• Preferred: experience with CDC, HHS, or other Federal public health agencies.

• Preferred: background in public health surveillance, laboratory, immunization, healthcare, claims, research, or programmatic data systems.

• Preferred: familiarity with APIs, FHIR, HL7, XML, JSON, or similar exchange frameworks.

• Preferred: experience with 1CDP, EDAV, Azure, Databricks, SAS migration, Power BI, Tableau, Agile, Scrum, DevSecOps, or associated technologies and environments.

• A Master's degree is preferred.

🏝️ Benefits

• Competitive compensation.

• Health and Wellness programs.

• Income Protection.

• Paid Leave.

• Retirement plans.

• Remote work is permitted.

• Occasional travel to CDC facilities and customer meetings as required.