Data Engineer - Nevada

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.  

Position Highlights

• Location: Remote, must be based in the United States
• Salary Range: $115,000-$165,000, plus benefits
• 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 infrastructure for a public health organization. Working within the Nevada Division of Public and Behavioral Health (DPBH), Office of State Epidemiology (OSE) Informatics team, the Data Engineer will deliver the architecture needed for data generation, storage, processing, and analysis in support of the AWS Data Lake. The Data Engineer will collaborate with epidemiologists, data content experts, analysts, data scientists, and DPBH Office of Information Technology staff to identify, design and implement proposed solutions and architectures that meet the needs of the public health agency.


• The Data Engineer will be hired by the CDC Foundation and assigned to the Informatics team within the Nevada DPBH, Office of State Epidemiology. This position is eligible for a fully remote work arrangement for U.S. based candidates.

Responsibilities

• Design and implement distributed data processing pipelines supporting the Nevada, and Federal Public Health ecosystems. 
• 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.
• Collaborate with Nevada’s Department of Health and Human Services and the Data Lake Governance Committee on data governance policy, data security, and data use agreements for impacted data systems required to meet the OSE mission.
• Collaborate with the Nevada DPBH Office of Information Technology to implement best practices and standards for systems interoperability, including HL7 v2.x and v3.x, FHIR, RESTful State APIs, public health industry data taxonomies, database connections APIs (OBDC, JDBC, ADO, etc.), and vendor-supported information systems standards.
• Lead and partner with internal and multiple solution vendors’ architecture/engineering leads and other integrated project team members to ensure high quality solutions through code reviews, and software engineering best practices documentation.
• Collaborate with data owners, data stewards, information technologists, public health analysts, and other public health resources to identify, move, transform and curate public health data in support of data scientists, epidemiologists, and biostatisticians big data analytics and data products creation.
• Design, develop, modernize/migrate pipelines to the Amorphic/AWS Data Lake 
• Engage and collaborate with internal and multiple solution vendors’ DevOps teams by building utilities, user defined functions and frameworks to better enable data flow patterns. 
• Implement and maintain ETL processes to ensure the accuracy, completeness, consistency and security of data.
• Design and manage data storage systems, including relational databases, NoSQL databases, and data warehouses.
• Collaborate on data modeling, forecasting, and visualization projects.
• Collaborate with AWS Data Lake Project Director on data governance policies.
• Ensure compliance with Nevada security regulations and standards.
• Establish data use agreements for relevant data systems.
• Develop strategies and protocols to monitor data quality.
• Implement mechanisms to identify and rectify data errors promptly.
• Establish processes for ongoing data quality assessment and improvement.
• Knowledgeable