Wildlife Health Lab Data Engineer
Cornell Wildlife Health lab
About the role
The Cornell University College of Veterinary Medicine seeks a Data Engineer to join the Wildlife Health Lab (CWHL) team. The selected person will work in collaboration with application developers, data scientists, ecologists, and wildlife professionals using data pipelines that integrate raw wildlife agency data into data systems. The Data Engineer will further prepare data for and run large analytical processes written in R, Python, or other languages. The Data Engineer will migrate current local processes to cloud services, as well as write and maintain system documentation. The Data Engineer will support development goals by publishing and maintaining data resources systems for wildlife agencies. Required Qualifications Bachelor’s degree in Computer Science, Data Science, Statistics, or other relevant technical data-centric computational field and 3-5 years of relevant experience or equivalent combination Familiarity with wildlife disease ecology, wildlife management, env...
Requirements
- Required Qualifications Bachelor’s degree in Computer Science, Data Science, Statistics, or other relevant technical data-centric computational field and 3-5 years of relevant experience or equivalent combination Familiarity with wildlife disease ecology, wildlife management, env..
Responsibilities
- The selected person will work in collaboration with application developers, data scientists, ecologists, and wildlife professionals using data pipelines that integrate raw wildlife agency data into data systems
- The Data Engineer will further prepare data for and run large analytical processes written in R, Python, or other languages
- The Data Engineer will migrate current local processes to cloud services, as well as write and maintain system documentation
- The Data Engineer will support development goals by publishing and maintaining data resources systems for wildlife agencies
Skills
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