The CDC Foundation is looking to advance its mission by designing, building, and maintaining data infrastructure for a public health organization.
Requirements
- Proficiency in programming languages commonly used in data engineering, such as Python, Java, SQL; including C-Sharp, C++.
- Strong understanding of relational database systems (e.g., Microsoft SQL, MySQL, PostgreSQL)
- Experience with AWS tools for data engineering
- Experience regarding engineering best practices such as source control, automated testing, continuous integration and deployment, and peer review.
- Knowledge of data warehousing concepts and tools.
- Expertise in data modeling, ETL (Extract, Transform, Load) processes, and data integration techniques.
- Experience with cloud computing platforms
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.
- 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.
- Implement and maintain ETL processes to ensure the accuracy, completeness, and consistency of data.
- Design and manage data storage systems, including relational databases.
Other
- Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.
- Minimum of 5 years of relevant professional experience.
- Strong analytical thinking and problem-solving abilities.
- Excellent verbal and written communication skills, including the ability to convey technical concepts to non-technical partners effectively.
- Flexibility to adapt to evolving project requirements and priorities.
- Outstanding interpersonal and teamwork skills; and the ability to develop productive working relationships with colleagues and partners.
- Experience working in a virtual environment with remote partners and teams
