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.
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 Type: Grant funded, limited-term opportunity
Position End Date: June 30, 2025 with potential for an extension
Hours of Work: Must be available during core department operational times, 9 to 4 eastern time Monday through Friday to collaborate with Office of Epidemiology staff.
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.
Working within Franklin County Public Health's Office of Epidemiology and Data, the Data Engineer will deliver the architecture needed for efficient data generation, storage, processing, and analysis of programmatic and population health data, including but not limited to electronic health, client services, emergency department visits, births, and mortality records. The Data Engineer will collaborate with data content experts, analysts, data scientists, data modelers, warehouse architects, IT staff and other organization staff to design and implement proposed solutions and architectures that meet the needs of the public health agency. The Data Engineer will collaborate with epidemiologists, data content experts, analysts, data scientists, data modelers, warehouse architects, IT staff and other organization staff to design and implement proposed solutions and architectures that meet the needs of the public health agency.
The Data Engineer will be hired by the CDC Foundation and assigned to the Franklin County Public Health Office of Epidemiology and Data. 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 epidemiologists, 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.
- Knowledgeable about industry trends, best practices, and emerging technologies in data engineering, and incorporating the trends into the organization's data infrastructure.
- 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 5 years of relevant professional experience
- Proficiency in programming languages commonly used in data engineering and analysis, such as Python, R, Java, Scala, or SQL is required. Experience using Python is preferred. Candidate should be able to implement data automations within existing frameworks as opposed to writing one off scripts.
- Experience with data visualization tools is required, proficiency in using, building, and coding in Tableau and ArcGIS is preferred. Ability to train others in this area.
- Strong understanding of database systems, including relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
- 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.
- 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
- Proficiency in Microsoft Office.
- Familiarity with data equity principles and standards.
- Strong technical documentation skills including building data dictionaries and code books.
- Knowledge/familiarity with sensitive data.
- Knowledge/ability to complete business process analysis, requirements documentation and data flow mapping.
- Must be able to drive projects from concept to completion utilizing critical thinking and change management skills. Ability to work independently with minimal oversight.
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.
All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, national origin, age, mental or physical disabilities, veteran status, and all other characteristics protected by law.
We comply with all applicable laws including E.O. 11246 and the Vietnam Era Readjustment Assistance Act of 1974 governing employment practices and do not discriminate on the basis of any unlawful criteria in accordance with 41 C.F.R. §§ 60-300.5(a)(12) and 60-741.5(a)(7). As a federal government contractor, we take affirmative action on behalf of protected veterans.
The CDC Foundation is a smoke-free environment.
Relocation expenses are not included.
