Data Engineer

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. 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.

The Data Engineer will be hired by the CDC Foundation and assigned to the Maine CDC Informatics team, as part of the Division of Disease Surveillance. This position is eligible for a fully remote work arrangement for based candidates.

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.
• Collaborate with cross-functional teams to understand data requirements and design scalable solutions that meet business needs.
• 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.
• 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.
• 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.
• Provide technical guidance to other staff.
• Communicate effectively with partners at all levels of the organization to gather requirements, provide updates, and present findings.

Required Qualifications :

Preferred Qualifications :

Special Notes :

This role is involved in a dynamic public health program. As such, roles and responsibilities are subject to change as situations evolve. Roles and responsibilities listed above may be expanded upon or updated to match priorities and needs, once written approval is received by the CDC Foundation in order to best support the public health programming.