The Noble Research Institute's Enterprise Systems and Informatics group is seeking an Associate Data Engineer to work on projects associated with a USDA funded project entitled "Cover Crops: The Cornerstone of Water Management in the Face of Increasing Demand and A Changing Climate."
This temporary position is funded through a grant from the US Department of Agriculture's National Institutes of Food and Agriculture program with funding anticipated to be renewed annually based upon performance and funding availability. Currently, funding is scheduled to end on or before July 31, 2021. Continued funding beyond this date is anticipated for this position based on USDA approval but the total funding for this grant will be for no more than three years.
Why would you want to join us? The Enterprise Systems and Informatics group is not your typical IT department.
Camaraderie is one of our core values so you know we love working together. Combine that with a pursuit of excellence and a passion for what we are doing and you will know what we are about. Our department is responsible for not just traditional IT services, but bioinformatics and research support, spatial technology, plus library and information management services.
The very best part is that you will be making a meaningful contribution to an organization with a vision to be a recognized leader in improving agricultural production. Additional information about the Enterprise Systems and Informatics group can be found at https://www.noble.org/recruiting/enterprise-systems-informatics/.
Associate Data Engineer Job Description
EOE Minorities/Females/Protected Veterans/Disabled
The ideal candidate will have knowledge of relational database management systems such as Microsoft SQL Server, experience using data processing technologies such as SQL Server Integration Services, and preparing and enhancing data sets using programming languages such as Python or R.
Additionally, the person serving in this role will collaborate closely with the Agronomy and Sensors group led by Dr. Twain Butler.
The successful candidate for this position will develop data infrastructure to model, store, process, and deliver vegetation measurements collected by remote sensing/IoT devices. A key responsibility will be implementing data flow systems to receive and deliver such data sets from/to other institutions collaborating on this grant.
Bachelor of Computer Science, MIS, Data Analytics or STEM-related degree required; No experience is required but 2 years of experience with enterprise systems is preferred. Experience with sensors/IoT devices, data modeling, and data analysis is preferred. Excellent written and oral communication skills and the ability to work well in a collaborative research atmosphere are required.
Samuel Roberts Noble Foundation