Full-Time Data Engineer
CDC Foundation is hiring a remote Full-Time Data Engineer. The career level for this job opening is Experienced and is accepting USA based applicants remotely. Read complete job description before applying.
CDC Foundation
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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 Maine CDC's Informatics team, as part of the Division of Disease Surveillance, the Data Engineer will deliver the architecture needed for data generation, storage, processing, and analysis.
The Data Engineer will collaborate with 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.
They will develop plans for data governance, policies and procedures, and documentation to set up a data lake/warehouse for the Infectious Disease Epidemiology Surveillance Systems, with the goal of expanding its capabilities to include additional areas within DHHS. They will also develop use cases to encourage other programs to add data to the data lake/warehouse.
Responsibilities:
- 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.
- Implement and maintain ETL processes to ensure the accuracy, completeness, and consistency of data.
- Implement security measures to protect sensitive information.
- Design and manage data storage systems, including relational databases, NoSQL databases, and data warehouses.
- Knowledgeable about industry trends, best practices, and emerging technologies in data engineering, and incorporating the trends into the organization's data infrastructure.
- Develop use cases to encourage other programs to add data to the data lake/warehouse.