Public Health Interoperability Lead – Senior Public Health Data Analyst

🔥 2 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

🔒 Cybersecurity

🔬 Science

Defense • Cybersecurity • Science

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 movement of data between surveillance, research, laboratory, operational, and reporting systems • 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 • Develop reusable code, technical documentation, and integration patterns • Participate in code reviews, testing activities, and deployment processes • Mentor junior developers and technical staff

🎯 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.

🏖️ Benefits

• competitive compensation • Health and Wellness programs • Income Protection • Paid Leave • Retirement