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Geospatial Data Engineer

Oak Ridge National Laboratory

Location1 Bethel Valley Rd, Oak Ridge, TN 37830+ Leaflet | OpenStreetMap contributorsIndeed’s salary guideNot provided by employer$83.8K – $106K a year is Indeed’s estimated salary for this role in Oak Ridge, TN.Report inaccurate salary
Requisition Id 7635
The Geospatial Science and Human Security Division (GSHSD) is seeking a geospatial data engineer within the Location Intelligence group. This position is within the Divisions Human Dynamics section and part of the National Security Science Directorate. The Location Intelligence Group performs ground-breaking research into place-based knowledge extraction, narrative analysis, and geosocial data discovery. Leveraging primarily non-traditional geospatial data sources such as volunteered geographic information (VGI), internet of things (IoT) data, and telemetered sensor sources, and harmonizing with commercial and open data sources, the Location Intelligence group delivers novel approaches and technologies for describing places, points of interest, events, activities, and populations, as well as the patterns of interaction among the three. The groups dynamic content portfolio addresses the timely need to broaden research in spatial data curation, multi-scale land-use modeling, generating higher-level features from ground photo imagery, disinformation detection, network spatialization, narrative analysis, and transformation to describe the landscape and patterns of activity within it, using novel and non-traditional data and theoretical techniques.

This position involves developing and deploying scalable geospatial applications supporting the groups R&D portfolio. The positions focus includes architecting geospatial services, working with the CI/CD deployment teams, performing stress testing of deployed services and applications, cloud-to-premise interfacing, and distributed computing to deploy real-time geospatial intelligence applications. The individual will collaborate with other scientists in developing transformative technologies that address these challenges through teaming and collaborative efforts. The work will involve harvesting and processing several hundred disparate data sources from all around the world. These sources contain text, sensors, ground-level imagery, social media, trajectory, and travel data, among others. Enabling this data for purposeful use requires designing and architecting RESTful services and distributed failover backend services. To confidently run them, individuals are required to have a good background in the following initiatives: Architect and design Spring boot and Java Application, open-source exploitation; geospatial OGC services architecture and development, Java and object-oriented concepts, application server failover and load balancing, and geospatial formats such as GeoJson and GeoPackage; and a working knowledge of GIS methodologies.

Our commitment to diversity:
As we strive to become the worlds premier research institution in the sciences and technologies that underpin critical national security missions, we are committed to creating an inclusive environment that highly values a diverse workforce. We recognize that breadth of perspectives, insights, and experiences is necessary to drive innovation and discovery mission-critical to national security sciences. Our commitment extends beyond our workforce to the next generation of researchers with STEM education outreach that seeks to engage a diverse range of students.

Major Duties and Responsibilities:

Architect services on NoSQL data (ElasticSearch), OGC GeoServer configuration, Java and Object-oriented application architecture fluency, Maven built Spring Boot, Docker, Kubernetes, CI/CD pipeline design and deployment.
Design and develop scalable and distributed data and backend services for GEOINT purposes.
Deployment and CI/CD and perform benchmark analysis and examination of results and logs from failover and robust service deployment.
Performing post-deployment logistics.
Examine new and developing technologies and tools to see if they can be used on the job.
Manage and update existing data format and perform regular improvements.
Augment existing research and development activities in location intelligence and association analysis.
Develop and support the plan for project data analysis and management.

As needed, provide technical assistance to other employees and customers.

Basic Requirements

Bachelors degree or higher in computer science, mathematics, or a related field and 2+ years of related experience.
Prior experience with J2EE application development, microservices, distributed Java Caching, regular expressions, web-based technologies.
Prior expertise with REST data services, APIs, and microservices as part of a service-oriented architecture (SOA).
Proficiency in open-source or commercial geospatial tools such as ArcGIS, QGIS, and PostGIS.
Prior expertise with relational (MS SQL Server, MySQL, PostgreSQL, and so on), document (JSON, ElasticSearch, and so on), spatial, graph, and other unstructured databases is required.
Experience with Python, R, and other similar languages for data manipulation, exploration, graph analysis, and statistical analysis.
Hands-on experience using cloud-enabled technologies and platforms that includes Google Cloud and AWS.

Excellent written and verbal communication and demonstrated ability to work in interdisciplinary teams.

Preferred Qualifications:

Agile software development approaches are a plus.
Working knowledge of both structured and unstructured data.
Working knowledge of version control systems such as Git.
Working knowledge of automated deployment and testing environments is a plus.
UML, Object-oriented programming, Linux, shell scripting, and other related skills are required.
Containerization technologies such as Docker and Conda have been used to design and manage computing environments.
Experience with geospatial ETL process design and implementation
Experience with database technologies such as MySQL and ElasticSearch to store, analyze, and manipulate data.
Experience in statistics, computational sciences, activity and event data, and working with social media data.

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
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.
Hiring InsightsJob activityPosted 10 days ago

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