Data Engineer

The CDC Foundation is seeking a Data Engineer to play a crucial role in advancing their mission by designing, building, and maintaining data infrastructure for public health. This position is aligned with the Workforce Acceleration Initiative (WAI), a federally funded program aimed at helping the nation's public health agencies improve their information systems.

Key responsibilities include:

• Developing and managing ETL/ELT processes and data pipelines on the Snowflake platform
• Designing efficient, scalable data architectures and implementing Snowflake best practices
• Collaborating with cross-functional teams to integrate diverse data sources
• Monitoring and optimizing data pipelines for performance and cost
• Implementing security measures to protect sensitive information
• Providing technical guidance and creating documentation for data processes

The ideal candidate will have:

• A Bachelor's degree in Computer Science, Information Technology, Data Science, or related field
• Minimum 5 years of relevant professional experience
• Proficiency in programming languages like Python, Java, Scala, or SQL
• Experience with big data technologies and frameworks
• High level of proficiency in Snowflake and data engineering best practices
• Strong analytical thinking and problem-solving abilities
• Excellent communication skills and ability to work in a virtual environment

This is a remote, full-time position based in the United States, with a salary range of $103,500-$143,500 per year, plus benefits. The position is grant-funded with an end date of June 30, 2025. The Data Engineer will be hired by the CDC Foundation and assigned to the Illinois Department of Public Health.

Join the CDC Foundation in their mission to protect public health and make a significant impact in the field of data engineering for public health initiatives.