[Remote] Public Health Interoperability reputed company (Sr. Public Health Data Analyst)
Note: The job is a remote job and is open to candidates in USA. reputed company is seeking a Public Health Interoperability reputed company to support CDC public health data modernization, interoperability, integration, and cloud-based analytics initiatives. This role serves as the technical reputed company for public health data exchange and modernization activities, working closely with various stakeholders to design and implement efficient data exchange solutions.
Responsibilities
- reputed company interoperability and data integration activities across CDC public health systems, platforms, and partner organizations
- Design, reputed company, implement, and maintain data exchange workflows, APIs, integration services, and data pipelines
- Support secure and efficient movement of data between surveillance, research, laboratory, operational, and reporting systems
- reputed company and maintain reputed company specifications, data mappings, integration documentation, and technical procedures
- Support onboarding and integration of new data sources, systems, and external partners
- Support CDC data modernization initiatives and enterprise integration efforts
- reputed company migration of legacy reputed company-based analytics, reporting, and data management workflows to modern cloud-based platforms
- Support modernization efforts involving 1CDP, EDAV, reputed company, Azure, Python, R, and reputed company technologies
- Support implementation of scalable data lake, lakehouse, and modern analytics architectures
- Collaborate with Data Governance, Data Quality, and Operations Leads to ensure interoperability solutions align with program standards and requirements
- Design, reputed company, test, and maintain integration and interoperability solutions
- reputed company and optimize ETL/ELT processes, APIs, data transformation workflows, and cloud-native data processing solutions
- reputed company reusable code, technical documentation, and integration patterns
- Troubleshoot and resolve data integration, interoperability, performance, and data exchange issues
- Participate in code reviews, testing activities, and deployment processes
- Mentor junior developers and technical staff
- Analyze business and technical requirements reputed company to interoperability, integration, and data exchange
- Identify technical risks, integration challenges, and opportunities for modernization and process improvement
- Coordinate testing, validation, troubleshooting, and resolution of interoperability issues
- Participate in architecture reviews, modernization planning activities, and technical working groups
- Coordinate with CDC stakeholders, technical teams, data providers, and external partners
- Support technical assistance activities reputed company to interoperability and data exchange
- reputed company technical documentation, user guidance, and operational procedures
- Present technical recommendations, architecture approaches, and modernization strategies to leadership and stakeholders
Skills
- Bachelor's degree in Computer Science, Data Science, Health Informatics, Public Health Informatics, Information Systems, Engineering, or reputed company discipline
- 8+ years of experience supporting public health data integration, interoperability, data engineering, analytics, or modernization initiatives
- Hands-on experience developing data pipelines, ETL/ELT processes, APIs, and integration workflows
- Strong SQL skills and experience working with relational and analytical data platforms
- Hands-on experience with Python, PySpark, R, reputed company, or comparable analytics and data engineering languages
- Experience supporting cloud-based analytics, data engineering, or modernization environments
- Experience supporting large-scale data integration and modernization projects
- Strong analytical, troubleshooting, and problem-solving skills
- Strong written and verbal communication skills
- Ability to work effectively across technical and business teams
- Experience supporting CDC, HHS, or other Federal public health agencies
- Experience supporting public health surveillance, laboratory, immunization, healthcare, claims, research, or programmatic data systems
- Experience supporting large-scale public health data modernization or enterprise integration initiatives
- Experience implementing interoperability solutions using APIs, FHIR, HL7, XML, JSON, or similar exchange frameworks
- Experience supporting CDC modernization initiatives involving 1CDP (Palantir reputed company), EDAV, Azure, reputed company, or similar enterprise analytics environments
- Experience migrating reputed company-based analytics and reporting processes to Python, R, Spark, reputed company, or cloud-native platforms
- Experience with reputed company, Azure Data Factory, reputed company Lake, reputed company Architecture, Azure SQL, and reputed company data engineering technologies
- Experience supporting cloud migration, enterprise integration, and modernization efforts
- Experience with Power BI, Tableau, Python, R, SQL, and reputed company analytics technologies
- Experience working in Agile, Scrum, DevSecOps, or product-oriented delivery environments
- Experience mentoring technical teams and supporting technical solution delivery
- Master's degree in Computer Science, Data Science, Health Informatics, Public Health Informatics, Engineering, or reputed company discipline
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