Public Health Interoperability Lead – Senior Public Health Data Analyst

🔥 9 minutes ago

🇺🇸 United States – Remote

💵 $107.9k - $195.1k / year

⏰ Full Time

🟠 Senior

📉 Data Analyst

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Leidos

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1969

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Leidos is a leading systems integrator in science, technology, and engineering, providing solutions that transform and enable the missions of its customers. The company operates across various markets, including aviation, defense, energy, government, healthcare, intelligence, science, and space. Leidos is involved in AI, digital modernization, cyber operations, and integrated and mission software systems. With a commitment to diversity, equity, inclusion, and sustainability, Leidos also engages in charitable efforts and community enrichment programs. Additionally, it contributes to developing solutions for counter-unmanned aerial systems and electric vehicle infrastructure for military applications.

📋 Description

• 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 data movement between surveillance, research, laboratory, operational, and reporting systems • Develop interface specifications, data mappings, integration documentation, and technical procedures • Support onboarding and integration of new data sources, systems, and external partners • Lead migration of legacy SAS-based analytics, reporting, and data management workflows to modern cloud-based platforms • Support CDC data modernization initiatives and enterprise integration efforts • Support scalable data lake, lakehouse, and modern analytics architectures • Collaborate with Data Governance, Data Quality, and Operations Leads • 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 modernization opportunities • Coordinate testing, validation, troubleshooting, and resolution of interoperability issues • Participate in architecture reviews, modernization planning, 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 • Present technical recommendations, architecture approaches, and modernization strategies to leadership and stakeholders

🎯 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 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 required • Preferred: experience supporting CDC, HHS, or other Federal public health agencies • Preferred: experience with public health surveillance, laboratory, immunization, healthcare, claims, research, or programmatic data systems • Preferred: experience 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 related technologies and environments • Master's degree is preferred

🏖️ Benefits

• Competitive compensation • Health and Wellness programs • Income Protection • Paid Leave • Retirement • Remote work permitted • Periodic travel to CDC facilities and customer meetings as required