Data Engineer

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. The CDC Foundation is the go-to nonprofit authorized by Congress to mobilize philanthropic partners and private-sector resources to support CDC’s critical health protection mission. Since 1995, the CDC Foundation has raised over $1.9 billion and launched more than 1,300 programs impacting a variety of health threats from chronic disease conditions including cardiovascular disease and cancer, to infectious diseases like rotavirus and HIV, to emergency responses, including COVID-19 and Ebola. The CDC Foundation managed hundreds of programs in the United States and in more than 90 countries last year. Visit www.cdcfoundation.org for more information.  

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.  

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.

Overview:

The Data Engineer will play a crucial role in advancing the CDC Foundation's mission by designing, building, and maintaining data infrastructure for a public health organization. This role is aligned to the Workforce Acceleration Initiative (WAI). WAI is a federally funded CDC Foundation program with the goal of helping the nation’s public health agencies by providing them with the technology and data experts they need to accelerate their information system improvements. The Data Engineer will work to build modern systems, tools and technology they need to address public health needs effectively.

This role is best for someone who is mission driven and is comfortable bringing a data driven solution to organizations who may be unfamiliar with this approach.

Working within Louisville Metro Department of Public Health and Wellness, the data engineer will collaborate closely with software development, a product manager, other data engineers, and program stakeholders to develop or support the deployment of an off-the-shelf mobile data entry/collection mechanism. This solution will be deployed by field staff who work daily to provide harm reduction and behavioral health equity-related interventions in populations at risk for drug misuse and/or overdose.

The Data Engineer will be hired by the CDC Foundation and assigned to the Louisville Metro Department of Public Health and Wellness. This position is eligible for a fully remote work arrangement for U.S. based candidates.

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 engineers, 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.
• 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. Bachelor’s degree in business administration, Engineering Technology, Liberal Arts, Physical Science, Public Administration, Social Science, or related discipline will be considered.
• Minimum of 5 years of relevant professional experience. Six years of relational database management system (i.e. human resource management system, MS SQL) experience in a client/server environment preferred.
• Proficiency in programming languages commonly used in data engineering, such as Python, Java, SQL; including C#, C++. 
• Candidate should be able to implement data automations within existing frameworks as opposed to writing one off scripts.
• 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.
• Knowledgeable about industry trends, best practices, and emerging technologies in data engineering, and incorporating the trends into the organization's data infrastructure.
• Experience with cloud computing platforms.
• Expertise in data modeling, ETL (Extract, Transform, Load) processes, and data integration techniques.
• Familiarity with agile development methodologies, software design patterns, and best practices.
• 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
• Experience with big data technologies and frameworks like Hadoop, Spark, Kafka, and Flink a plus.

This role is involved in a dynamic public health program. As such, roles and responsibilities are subject to change as situations evolve. Roles and responsibilities listed above may be expanded upon or updated to match priorities and needs, once written approval is received by the CDC Foundation in order to best support the public health programming.