Geospatial Data Engineer

Requisition Id 13721 

 

 

Overview:  

 

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an extraordinary 80-year history of solving the nation’s biggest problems. We have a dedicated and creative staff of over 6,000 people! Our vision for diversity, equity, inclusion, and accessibility (DEIA) is to cultivate an environment and practices that foster diversity in ideas and in the people across the organization, as well as to ensure ORNL is recognized as a workplace of choice. These elements are critical for enabling the execution of ORNL’s broader mission to accelerate scientific discoveries and their translation into energy, environment, and security solutions for the nation.

We are seeking a Geospatial Data Engineer who will focus on geospatial data analysis research. This involves deriving insights from analyzing geospatial data for emergency response and preparedness, population modelling and risk and resiliency modelling. This position resides in the Geospatial Data Modelling (GDM) Group in the Human Dynamics (HD) Section, Geospatial Science and Human Security (GSHS) Division, National Security Sciences Directorate (NSSD), at ORNL.

 

The Geospatial Data Engineer works with a team of innovative researchers, engineers, and technologists to develop the next generation technological solutions to enable true impact on critical national security missions through a team-based approach and commitment to excellence. This position supports a broad range of projects into the development of geospatial data, models, methods, and computational approaches using earth observation, measurement, statistics, surveys, and digital traces to provide insights into human activities and interactions with the environment, from local to global scales. This role also augments our expertise in actively researching and implementing methods in creating foundational data at scale using novel data mining and machine learning (ML) techniques.

 

Major Duties/Responsibilities: 

 

• Design, develop, and implementation new tools, methods, and algorithms that improve our ability to collect source data from publicly available sources
• Provide support for the development of authoritative datasets of critical infrastructures and evaluate database schemas and apply them to scientific output.
• Automate work tasks to include authoring, managing, and maintaining metadata in a variety of accepted standard formats.
• Collaborate with cross-functional teams to understand data requirements and deliver geospatial data in prescribed format.

 

All team members deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote diversity, equity, inclusion, and accessibility by fostering a respectful workplace – in how we treat one another, work together, and measure success.

 

Basic Qualifications:

 

• BS in computer science, geography, geographic information science, remote sensing, environmental engineering, natural sciences, or related field and two (2) years of relevant work experience. 
• Proven experience with development and implementation of data pipelines for geospatial data acquisition, transformation, and integration.
• Experience with data wrangling and transformation, ensuring data cleanliness and readiness for integration into spatial data development workflows.

 

 

Preferred Qualifications:

 

• MS in computer science, geography, geographic information science, remote sensing, environmental engineering, natural sciences, or related field and three (3) years of relevant work experience.
• Experience with open source GIS software like QGIS, PostGIS and geospatial python libraries
• Experience in geospatial analysi