Data Engineer
South Carolina
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 …
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Fully remote Must be based in the United States
Benefits/PerksFlexible working hours Fully remote Grant funded opportunity Health protection mission Limited-term opportunity Remote work Remote work arrangement
Tasks- Collaborate with stakeholders
- Design data infrastructure
- Develop data pipelines
- Gather requirements
- Implement security measures
- Optimize data pipelines
- Present findings
- Provide technical guidance
Agile Development Automated Testing C Cloud Cloud Computing Collaboration Communication Continuous Integration Data analysis Data Architecture Database Management Data engineering Data Infrastructure Data Integration Data Modeling Data Monitoring Data Pipeline Data Pipelines Data processing Data Science Data storage Data Transformation Data Warehousing Deployment Engineering Epidemiology ETL ETL Processes Information Technology Infrastructure Integration Methodologies Modeling MySQL NoSQL NoSQL databases Peer review PostgreSQL Problem-solving Public health Python R Relational databases SAS Security Security measures Source Control SQL
EducationComputer Science Data Science Epidemiology Information Technology Public health Related Field
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9