Job description

Requisition Id 16816 Overview: The Geospatial Science and Human Security Division (GSHSD) is currently seeking world-class research and development professionals for the National Security Sciences Directorate within Oak Ridge National Lab. The geospatial data engineer will support the development of next generation data strategies that will support and deploy operational situational awareness products for sponsors across the Federal Government. We're looking for staff who bring fresh ideas from areas including information retrieval, distributed computing and storage, and data processing workflows. We need our staff to be flexible and be enthusiastic to take on problems across the organization as we continue to solve complex global scale problems in the areas associated with spatial computing. 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 5-7 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: • Security, Credentialing, and Eligibility 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. • Visa Sponsorship: Visa sponsorship is not available for this position. 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. About ORNL As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation. ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience. Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts. 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. If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov. ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Requirements

Must-haves

Requisition Id 16816
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.
Requires an B.S. or M.S. in the field of Geography, Data Science, Computer Science, or related fields with a minimum of 5-7 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
At least 2 years of experience working with geospatial data and processing workflows and assessing data sources for fit-for-purpose.
Visa Sponsorship: Visa sponsorship is not available for this position.

Nice-to-haves

Experience with Docker, Kubernetes, or similar container platforms/concepts.
Experience with s3, parquet, Duckdb, zarr and related software and technologies is a plus
Motivated self-starter with the ability to work independently and to participate creatively in collaborative and frequently interacting teams of researchers.
Utilize open-source and commercial tools and approaches to solve complex problems including information retrieval/extraction, machine learning/deep learning, and networking

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlpythondockerkubernetesagilejiramachine learning

Platform: successfactors
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Parental Leave

Wellness