CDC Foundation Overview
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.
* Promotes public health and safety
* Raises over $1.9 billion since 1995
* Manages hundreds of programs in the US and 90+ countries
Job Highlights
Location: Remote, must be based in the United States
Salary Range: $103,500-$143,500 per year, plus benefits
Individual salary offers will be based on experience and qualifications unique to each candidate
Position Details
Office Hours: Availability for meetings between 8:00 am – 5:00 pm Eastern Time with flexibility dependent on employee location
Position Type: Grant funded, limited-term opportunity
Position End Date: June 30, 2025
Job Responsibilities
Create and manage systems and pipelines for efficient and reliable data flow
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
Implement and maintain ETL processes to ensure the accuracy, completeness, and consistency of data
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 to gather requirements, provide updates, and present findings
Qualifications
Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field
Minimum of 5 years of relevant professional experience
Proficiency in programming languages commonly used in data engineering, such as Python, Java, SQL