Data Engineer
South Carolina
Applications have closed
CDC Foundation
The CDC Foundation is a global nonprofit, managing public health programs that impact chronic and infectious diseases and emergency threats like COVID-19.
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 HighlightsLocation: Remote, must be based in the United States Work Hours: 8am- 5pm Eastern times zone is preferred, but working hours are flexible. 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
OverviewThe 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 the Communicable Disease Epidemiology Section in the Bureau of Communicable Disease Prevention and Control at the South Carolina Department of Public Health (DPH), the Data Engineer will be responsible for championing, designing, and supporting the development of the South Carolina DPH Data Pipeline. The Data Engineer will apply experience with the collaborative process needed to take place with external partners to define and implement secure methods for data transmission and import from diverse data sources. The Data Engineer will also apply experience with importation to deliver the architecture needed for data generation, storage, processing, and analysis. 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 be hired by the CDC Foundation and assigned to the South Carolina Department of Public Health, Bureau of Communicable Disease Prevention and Control, Communicable Disease Epi Section. This position is eligible for a fully remote work arrangement for U.S. based candidates.
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.
Job HighlightsLocation: Remote, must be based in the United States Work Hours: 8am- 5pm Eastern times zone is preferred, but working hours are flexible. 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
OverviewThe 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 the Communicable Disease Epidemiology Section in the Bureau of Communicable Disease Prevention and Control at the South Carolina Department of Public Health (DPH), the Data Engineer will be responsible for championing, designing, and supporting the development of the South Carolina DPH Data Pipeline. The Data Engineer will apply experience with the collaborative process needed to take place with external partners to define and implement secure methods for data transmission and import from diverse data sources. The Data Engineer will also apply experience with importation to deliver the architecture needed for data generation, storage, processing, and analysis. 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 be hired by the CDC Foundation and assigned to the South Carolina Department of Public Health, Bureau of Communicable Disease Prevention and Control, Communicable Disease Epi Section. This position is eligible for a fully remote work arrangement for U.S. based candidates.
Responsibilities
- Assess existing data pipeline and work with programs to envision an ideal future state.
- Recommend and participate in the development of the systems and pipelines that enable efficient and reliable flow of data, including ingestion, processing, and storage.
- Collect data from various sources and transforming it to conform with defined rules 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 and highly confidential 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.
- 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 common scripting languages and specifications used in data engineering, such as Python, R, and SAS. Candidate must be able to develop reusable automations for data extract, transform and load, harnessing existing frameworks and industry best practices.
- Experience with big data technologies and frameworks.
- Strong understanding of transactional (OLTP) and analytical (OLAP) database concepts and systems, including relational database management systems (MS SQL, MySQL, PostgreSQL).
- 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.
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.
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Category:
Engineering Jobs
Tags: Agile Architecture Big Data Computer Science Data pipelines Data Warehousing Engineering ETL MS SQL MySQL Nonprofit NoSQL OLAP Pipelines PostgreSQL Python R RDBMS SAS Security SQL Testing
Perks/benefits: Flex hours Health care Relocation support
Regions:
Remote/Anywhere
North America
Country:
United States
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