Overview
Remote
$103,500 - $143,500
Full Time
10% Travel
Skills
Python
R
SAS and SAS Viya readiness
Data warehousing
Job Details
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 South Carolina Department of Public Health, Bureau of Communicable Disease Prevention and Control, Surveillance, Assessment, and Evaluation Section (SAE). The Data Engineer will be responsible for reviewing surveillance systems and making recommendations for data integration, automation, and reporting. The Data Engineer will apply experience with the collaborative process needed to take place with internal and external partners to define and implement secure methods for data transmission and import from diverse data sources. The Data Engineer will apply this 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, Surveillance, Assessment, and Evaluation Section. This position is eligible for a fully remote work arrangement for U.S. based candidates. The Data Engineer should have ability to work independently and be self-directed to meet all projects requirements.
Responsibilities
- Create and manage the systems and pipelines that enable efficient and reliable flow of data, including ingestion, processing, and storage.
- Assess existing data pipeline and work with programs to envision and assist in developing an ideal future state.
- Collect data from various sources, validating and transforming to conform with defined rules to ensure accuracy and consistency. Load, import data into surveillance 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 protectsensitive 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, SAS and SAS Viya readiness. Candidate must be able to develop reusable automations for data extract, transform and load, harnessing existing frameworks and industry best practices.
- Knowledge of medical coding concepts like LOINCs, SNOMED and ICD-10
- Familiarity with RedCap data collection and extraction
- Ability to transition data to downstream data systems
- 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.
- Experience with infectious disease reporting systems is a plus
- 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.
Job Highlights
Location: 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
Special Notes
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 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.