Wildlife Health Lab Data Engineer

About this role

### Wildlife Health Lab Data Engineer

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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, environmental science, natural resource management, or other related fields.
• Experience with relational and No SQL database software (such as Postgres, MySQL, and MongoDB), containerization software (such as Docker), cloud computing services (such as Google Cloud, Microsoft Azure, and AWS), and web application frameworks (such as R Shiny).
• Experience building reliable data pipelines that ingest and process data at scale.
• Knowledge of data security, including the appropriate handling of sensitive data and the maintenance of data privacy throughout all computations and workflows.
• Experience publishing in scientific literature.
• Exceptional independent multi-tasking ability with accountability and follow-through.
• Must be able to manage multiple projects simultaneously, as well as adhere to deadlines associated with each task.

Preferred Qualifications

• Advanced degree or higher in Computer Science, Data Science, Statistics, or...