Data Engineer I: Infectious Disease Modeling & Pipelines

John Hopkin’s University; Baltimore (MD); On-site; USD 88,000 - 154,000; Full time

Job summary

Johns Hopkins University seeks a Data Engineer I to help design and maintain data pipelines, ETL/ELT processes, and data quality systems for research projects focused on epidemiology and disease dynamics.

The role supports extraction, transformation, and loading of data from diverse sources, including web scraping, and collaborates with researchers to produce actionable insights for public health policy.

Qualifications

• Bachelor’s degree required. Three years of related experience. Additional education may substitute for experience.
• Experience in infectious disease modeling and epidemiology is preferred.
• Proficiency in R and handling big data encouraged.

Responsibilities

• Design, produce, and maintain data pipelines for acquisition, management, and transformation.
• Develop and maintain ETL/ELT processes for structured and unstructured data.
• Build web data scraping systems for automatic data collection.
• Assist data architecture design and provide ongoing support.
• Handle input/output from databases and execute queries.
• Create scripts to clean, transform, and analyze data.
• Develop production data pipelines and data warehousing solutions.
• Monitor data quality and detect anomalies in production systems.
• Perform daily data quality assurance tasks and troubleshoot infrastructure.
• Collaborate with researchers, policy experts, and partners to generate insights.

Skills

Data pipeline architecture

ETL/ELT development

Database querying

Data tools

Data validation & QA

Data warehousing

Project management

Programming languages

Troubleshooting

Web scraping & data acquisition

Education

Bachelor's Degree

Tools

R programming

Big data management

Job description

Johns Hopkins University seeks a Data Engineer I to help design and maintain data pipelines, ETL/ELT processes, and data quality systems for research projects focused on epidemiology and disease dynamics.

The role supports extraction, transformation, and loading of data from diverse sources, including web scraping, and collaborates with researchers to produce actionable insights for public health policy.