Data Engineer

🕒 June 25

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CDC Foundation

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1992

🤝 Non-profit

🏥 Healthcare

🌍 Social Impact

Non-profit • Healthcare • Social Impact

CDC Foundation is a 501(c)(3) nonprofit organization that partners with the U. S. Centers for Disease Control and Prevention (CDC) and a broad network of public-, private-, and community-sector organizations to advance public health locally and globally. Since 1995 it has supported high-impact programs and projects (including emergency responses, global health initiatives, workforce services, maternal/newborn NEST kits, and community health programs), mobilizes funding and partners, and runs fundraising and donor-engagement activities to support research, program delivery, and emergency response. The organization works across state, local, and international settings to expand health programs, strengthen public-health capacity, and translate data and research (including AI collaborations) into public-health action.

📋 Description

• Create and manage the systems and pipelines that enable efficient and reliable flow of data, including ingestion, processing, and storage. • Assess technical readiness of healthcare providers statewide. • Support implementation of HL7 v2 interfaces with reporting facilities. • Provide standardized onboarding processes, templates, and guidance. • Configure and maintain HL7 message routing through Rhapsody. • Ensure secure, reliable delivery of data to downstream surveillance systems. • Support testing, validation, and troubleshooting of interfaces. • Prioritize onboarding for Immunizations (MIIX), Lead Surveillance, and other high-impact programs. • Standardize workflows, message formats, and onboarding documentation. • Coordinate onboarding activities across MSDH program areas. • Develop onboarding guides, implementation playbooks, and technical documentation. • Transfer knowledge to MSDH staff to sustain onboarding operations. • Collect data from various sources, transforming and cleaning it to ensure accuracy and consistency. • Load data into storage systems or data warehouses. • Optimize data pipelines, infrastructure, and workflows for performance and scalability. • Monitor data pipelines and systems for performance issues, errors, and anomalies, and implement solutions to address them. • Implement security measures to protect sensitive information. • Collaborate with other partners to understand their data needs and requirements, and ensure that the data infrastructure supports the organization's goals and objectives. • Communicate effectively with partners at all levels of the organization to gather requirements, provide updates, and present findings.

🎯 Requirements

• Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. • Minimum 5 years of relevant professional experience, including 3 years of Rhapsody integration engineering experience specifically. • Experience regarding engineering best practices such as source control, automated testing, continuous integration and deployment, and peer review. • Experience with cloud computing platforms. • Expertise in data modeling, ETL (Extract, Transform, Load) processes, and data integration techniques. • Familiarity with agile development methodologies, software design patterns, and best practices. • Strong analytical thinking and problem-solving abilities. • Excellent verbal and written communication skills, including the ability to convey technical concepts to non-technical partners effectively. • Flexibility to adapt to evolving project requirements and priorities. • Outstanding interpersonal and teamwork skills; and the ability to develop productive working relationships with colleagues and partners. • Experience working in a virtual environment with remote partners and teams. • Proficiency in Microsoft Office.

🏖️ Benefits

• Eligible for a fully remote work arrangement for U.S. based candidates • Up to 10% domestic travel may be required