Public Health Interoperability Lead (Sr. Public Health Data Analyst)

Leidos

4d•$107,900 - $195,050•Remote

About The Position

Leidos is seeking a Public Health Interoperability Lead to support CDC public health data modernization, interoperability, integration, and cloud-based analytics initiatives. This position serves as the technical lead for public health data exchange, integration, interoperability, and modernization activities across CDC surveillance, research, laboratory, analytics, and operational data systems. The successful candidate will work closely with data managers, analysts, developers, architects, and program stakeholders to design, develop, implement, and support secure, scalable, and efficient data exchange solutions. The role combines hands-on technical development with technical leadership and supports CDC modernization initiatives involving cloud-based analytics environments, enterprise data platforms, interoperability frameworks, and emerging public health technologies. This position requires U.S. Citizenship and is contingent upon award. Candidates in the Atlanta, GA area preferred. Remote work permitted with periodic travel to CDC facilities and customer meetings as required.

Requirements

Bachelor's degree in Computer Science, Data Science, Health Informatics, Public Health Informatics, Information Systems, Engineering, or related 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, SAS, 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.
U.S. Citizenship

Nice To Haves

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 Foundry), EDAV, Azure, Databricks, or similar enterprise analytics environments.
Experience migrating SAS-based analytics and reporting processes to Python, R, Spark, Databricks, or cloud-native platforms.
Experience with Databricks, Azure Data Factory, Delta Lake, Medallion Architecture, Azure SQL, and related data engineering technologies.
Experience supporting cloud migration, enterprise integration, and modernization efforts.
Experience with Power BI, Tableau, Python, R, SQL, and related 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 related discipline.

Responsibilities

Lead interoperability and data integration activities across CDC public health systems, platforms, and partner organizations.
Design, develop, 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.
Develop and maintain interface 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.
Lead migration of legacy SAS-based analytics, reporting, and data management workflows to modern cloud-based platforms.
Support modernization efforts involving 1CDP, EDAV, Databricks, Azure, Python, R, and related 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, develop, test, and maintain integration and interoperability solutions.
Develop and optimize ETL/ELT processes, APIs, data transformation workflows, and cloud-native data processing solutions.
Develop 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 related 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 related to interoperability and data exchange.
Develop technical documentation, user guidance, and operational procedures.
Present technical recommendations, architecture approaches, and modernization strategies to leadership and stakeholders.