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Data Engineer

1 month ago

Lexington, Kentucky, United States CDC Foundation Full time
Job Summary

The CDC Foundation is seeking a highly skilled Data Engineer to join our team. As a Data Engineer, you will play a crucial role in designing, building, and maintaining data infrastructure for a public health organization.

This is a grant-funded, limited-term opportunity with a position end date of June 30, 2025. The ideal candidate will have a strong understanding of relational database systems, experience with AWS tools for data engineering, and knowledge of data warehousing concepts and tools.

The Data Engineer will work closely with software development, product management, and program stakeholders to develop or support the deployment of an off-the-shelf mobile data entry/collection mechanism. This solution will be deployed by field staff who work daily to provide harm reduction and behavioral health equity-related interventions in populations at risk for drug misuse and/or overdose.

Responsibilities
  • Create and manage 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.
  • Implement security measures to protect sensitive information.
  • Collaborate with data engineers, analysts, and other partners to understand their data needs and requirements.
  • Design and manage data storage systems, including relational databases.
  • Provide technical guidance to other staff.
  • Communicate effectively with partners at all levels of the organization.
Requirements
  • Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
  • Minimum of 5 years of relevant professional experience.
  • Strong understanding of relational database systems.
  • Experience with AWS tools for data engineering.
  • Knowledge of data warehousing concepts and tools.
  • Expertise in data modeling, ETL processes, and data integration techniques.
  • Familiarity with agile development methodologies, software design patterns, and best practices.