Requisition Id 16691

Overview:

The Geospatial Data Engineer will focus on the implementation of scalable data storage and processing solutions for high-volume and high-velocity data applications. The proposed solutions will include distributed computing that can be applicable for several geospatially focused research and development projects in the domains of energy, transportation, and other cross-disciplinary geospatial applications. The geospatial data engineer works with research scientists across the lab with the primary goal of researching and developing cutting edge solutions to complex problems posed by sponsors including DoD and DOE leveraging the lab's world-class resources.

Major Duties/Responsibilities:

• R&D: assist in conducting research and development to support project-specific applications.
• Data Development: working alongside researchers to develop and deploy geospatial data storage and processing solutions.
• Requirements Decomposition: working alongside researchers and project sponsors to capture, understand, integrate, and implement project requirements in developed system architectures and software.

Interdisciplinary Collaboration: collaborating with a highly diverse and multidisciplinary team - from photogrammetrists, geographers, mathematicians, physicists, computer scientists, and engineers - in research, development, integration, testing, and deployment.

Basic Qualifications:

• Requires an B.S. or M.S. in the field of Geography, Data Science, Computer Science, or related fields with a minimum of 2 years of relevant experience
• Experience with programming languages such as SQL, Python
• Experience with Extract, Transform, Load (ETL) processes.
• Excellent written and oral communication skills and the ability to communicate in English to a scientific audience
• Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to changing needs
• Demonstrated ability to present technical results to technical communities.
• Excellent interpersonal skills with a strong commitment to a team environment

Preferred Qualifications:

• Experience with Docker, Kubernetes, or similar container platforms/concepts.
• Experience with s3, parquet, Duckdb, zarr and related software and technologies is a plus
• At least 2 years of experience working with geospatial data and processing workflows and assessing data sources for fit-for-purpose.
• Motivated self-starter with the ability to work independently and to participate creatively in collaborative and frequently interacting teams of researchers.
• Experience with software and data governance best practices including, but not limited to: Agile development; version control using Git/GitFlow or similar system; data retention life-cycles, and project management via systems like JIRA, Asana, etc.
• Utilize open-source and commercial tools and approaches to solve complex problems including information retrieval/extraction, machine learning/deep learning, and networking

Special Requirements:

• Export control, no clearance: This position requires access to technology that is subject to export control requirements. Successful candidates must be qualified for such access without an export control license.

Relocation:

Moving can be overwhelming and expensive. UT-Battelle offers a generous relocation package to ease the transition process. Domestic and international relocation assistance is available for certain positions. If invited to interview, be sure to ask your Recruiter (Talent Acquisition Partner) for details.

For more information about our benefits, working here, and living here, visit the "About" tab at jobs.ornl.gov.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.