CDC Foundation is hiring a
Data Engineer

Summary

Join the CDC Foundation as a remote Data Engineer to design, build, and maintain data infrastructure for a public health organization. This role is part of the Workforce Acceleration Initiative (WAI) and involves creating ETL pipelines and data architectures using Python, Apache Airflow, and other cutting-edge data engineering technologies.

Requirements

• Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent experience)
• Minimum 5 years of experience as a Backend Data Engineer or in a similar role and strong understanding of ETL processes and data warehousing concepts
• Proven experience with Python and related data engineering libraries (e.g., pandas, NumPy, Spark) and hands-on experience with Apache Airflow for managing data pipelines and workflows
• Experience with big data technologies and frameworks like Hadoop, Spark, Kafka, and Flink
• Strong understanding of database systems, including relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra)

Responsibilities

• 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
• Implement security measures to protect sensitive information
• 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
• Design and manage data storage systems, including relational databases, NoSQL databases, and data warehouses

Benefits

• Salary Range: $103,500-$143,500 per year, plus benefits
• Work Hours: 8am- 5pm Central time zone is preferred, but working hours are flexible
• Position Type: Grant funded, limited-term opportunity
• Position End Date: June 30, 2025