Data Engineer
Description For 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 organizations. This position is part of the Workforce Acceleration Initiative (WAI), a federally funded program aimed at helping the nation's public health agencies improve their information systems.
Working within the Snohomish County Health Department, the Data Engineer will be responsible for creating and managing data systems and pipelines, collecting and transforming data from various sources, optimizing data infrastructure, and collaborating with cross-functional teams to meet organizational goals. Key responsibilities include:
- Designing and implementing data architecture for generation, storage, processing, and analysis
- Creating and maintaining ETL processes
- Optimizing data pipelines and workflows for performance and scalability
- Implementing security measures to protect sensitive information
- Collaborating with data scientists, analysts, and other partners
- Providing technical guidance and staying up-to-date with industry trends
The ideal candidate will have a Bachelor's degree in a relevant field, at least 5 years of professional experience, and strong skills in SQL, database systems, and data engineering best practices. Experience with Python, agile methodologies, and electronic health record systems is preferred.
This is a remote position based in the United States, offering a competitive 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 must be available between 9 am and 4 pm Pacific Time, Monday through Friday, to collaborate with Snohomish County staff.
Join the CDC Foundation in their mission to protect public health and make a significant impact on America and the world.
Responsibilities For Data Engineer
- Create and manage data systems and pipelines
- Collect, transform, and clean data from various sources
- Optimize data pipelines, infrastructure, and workflows
- Monitor data systems for performance issues and implement solutions
- Implement security measures to protect sensitive information
- Collaborate with cross-functional teams to understand data needs
- Design and manage data storage systems
- Implement and maintain ETL processes
- Stay knowledgeable about industry trends and best practices
- Provide technical guidance to other staff
- Communicate effectively with partners at all levels of the organization
Requirements For Data Engineer
- Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field
- Minimum 5 years of relevant professional experience
- Proficiency in SQL required, experience using Python preferred
- Strong understanding of database systems, including relational and NoSQL databases
- Experience with engineering best practices (source control, automated testing, CI/CD, peer review)
- Knowledge of data warehousing concepts and tools
- Expertise in data modeling, ETL processes, and data integration techniques
- Familiarity with agile development methodologies
- Strong analytical thinking and problem-solving abilities
- Excellent verbal and written communication skills
- Flexibility to adapt to evolving project requirements
- Outstanding interpersonal and teamwork skills
- Experience working in a virtual environment
- Proficiency in Microsoft Office 365 products
