The CDC Foundation helps the Centers for Disease Control and Prevention (CDC) save and improve lives by unleashing the power of collaboration between CDC, philanthropies, corporations, organizations and individuals to protect the health, safety and security of America and the world. The CDC Foundation is the go-to nonprofit authorized by Congress to mobilize philanthropic partners and private-sector resources to support CDC’s critical health protection mission. Since 1995, the CDC Foundation has raised over $1.9 billion and launched more than 1,300 programs impacting a variety of health threats from chronic disease conditions including cardiovascular disease and cancer, to infectious diseases like rotavirus and HIV, to emergency responses, including COVID-19 and Ebola. The CDC Foundation managed hundreds of programs in the United States and in more than 90 countries last year. Visit www.cdcfoundation.org for more information.  

Job Highlights 

·       Location: Remote, must be based in the United States 

·       Salary Range: $103,500-$143,500 per year, plus benefits. Individual salary offers will be based on experience and qualifications unique to each candidate.  

·       Position Type: Grant funded, limited-term opportunity 

·       Position End Date: June 30, 2025

Overview

• The Data Engineer will play a crucial role in advancing the CDC Foundation's mission by designing, building, and maintaining data interfaces 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 Public Health Information Systems (PHIS) division under Los Angeles County Department of Public Health (LA DPH), the Data Engineer will deliver the architecture needed for data generation, storage, processing, and analysis. The Data Engineer will collaborate with HL7 SMEs, data content experts, analysts, data scientists, data modelers, warehouse architects, IT staff and other organization staff to design and implement proposed solutions and architectures that meet the needs of the public health agency. Projects the Data Engineer will support include: contributing to the transition of legacy disease surveillance and laboratory information management systems into a unified platform; improving connectivity for electronic case reporting (eCR) and Electronic Lab Reporting (ELR), exchanged with key interested parties using the AIMS platform; refining data ingestion from hospitals and the state department of public health; and transitioning a data pipeline pilot to production on Azure and integrating it with existing systems. Strong candidates will have strength in working with healthcare focused interfaces and integrations. The Data Engineer will be hired by the CDC Foundation and assigned to the Los Angeles (LA) County Department of Public Health, Public Health Information Systems (PHIS). This position is eligible for a fully remote work arrangement for U.S. based candidates.

Responsibilities

• Help lead, manage, and support the technical implementation of new and ongoing HL7 data integration projects within the department. 
• Partner with program and IT teams to drive the design, development, and testing of various data integration using a combination of integration engine tools like Mirth, Rhapsody, and custom development.
• Act as technical Subject Matter Expert (SME) in the areas of Interoperability and Integrations. Facilitate and drive integration initiatives with both internal and external teams.
• Facilitate training sessions for program and IT staff on using and effectively managing the interfaces. Foster HL7 standards adoption with the department.
• Create and manage the systems and pipelines that enable efficient and reliable flow of data, including ingestion, processing, and storage. Collect data from various sources, transforming and cleaning it to ensure accuracy and consistency. Load data into storage systems or data warehouses.
• Drive adoption of a department wide HL7 data integration platform with a focus on Fast Healthcare Interoperability Resources (FHIR) standard.
• 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 data scientists, analysts, and 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.
• Incorporate knowledge about industry trends, best practices, and emerging technologies in data engineering into the organization's data infrastructure.
• Provide technical guidance to other staff.
• Communicate effectively with partners at all levels of the organization to gather requirements, provide updates, and present findings.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
• Minimum of 5 years' experience in healthcare IT environment focused on development utilizing HL7.
• Healthcare Industry standards and regulations relating to data privacy and data security.
• Experience developing solutions utilizing HL7 v2, CDA, FHIR and healthcare code sets (e.g., LOINC, SNOMED, ICD-10) in a production setting.
• Experience in building solutions following implementation guides and specifications like ADT, ORM, ORU, etc.
• Experience with SQL and one or more mainstream programming languages (Python, JavaScript, C#, Java, etc.)
• Good understanding and implementation knowledge of integration related requirements in the areas of messaging, networking, and security.
• Good understanding of APIs, Web Services, REST, XML, JSON, and OAuth.
• Strong understanding of relational database systems (e.g., MySQL, PostgreSQL, Oracle).
• Experience regarding engineering best practices such as source control, automated testing, continuous integration and deployment, and peer review.
• Experience with cloud computing platforms across Microsoft Azure, AWS or GCP.
• Familiarity with agile development methodologies, software design patterns, and best practices.
• 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 distributed teams.

Special Notes