Data Engineer

CDC Foundation•Mississippi, MS

10d•$103,500 - $143,500•Remote

About The Position

The Data Engineer will play a crucial role in advancing the CDC Foundation's mission by designing, building, and maintaining data infrastructure for a public health organization. This role is aligned to the Workforce Acceleration Initiative (WAI). WAI is a federally funded CDC Foundation program with the goal of helping the nation’s public health agencies by providing them with the technology and data experts they need to accelerate their information system improvements. Working within the Mississippi Department of Health, the Data Engineer will deliver technical solutions to establish a coordinated, scalable approach to HL7 onboarding of healthcare providers across Mississippi, enabling automated, electronic submission of reportable public health data through MSDH’s Rhapsody Integration Engine. This project will focus on provider readiness assessment, HL7 interface implementation, message routing, and operational integration to reduce manual data entry, improve surveillance timeliness, and strengthen MSDH’s public health response capabilities. The Data Engineer will be hired by the CDC Foundation and assigned to the Mississippi Department of Health. This position is eligible for a fully remote work arrangement for U.S. based candidates.

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.

Responsibilities

Create and manage the systems and pipelines that enable efficient and reliable flow of data, including ingestion, processing, and storage, as specified below:
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
Embed repeatable processes into core MSDH workflows
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 to ensure that the data infrastructure supports the organization's goals and objectives.
Collaborate with cross-functional teams to understand data requirements and design scalable solutions that meet business needs.
Communicate effectively with partners at all levels of the organization to gather requirements, provide updates, and present findings.