Data Engineer

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The Geospatial Science & Engineering Division (GSED), of the National Security Sciences Directorate (NSSD), isseekinga highly motivated

Data Engineer to support the automation of image processing and data science workflows in aclassified environment. This position will contribute to the development of scalable analytic pipelines, automated exploitation tools, and reproducible computational workflows that improve the processing, integration, and interpretation of imagery, geospatial, and operational datasets.

The successful candidate will assess research and operational needs and develop more complex data science solutions that advance organizational objectives. This role will conduct sophisticated analyses, integrate methodologies, and interpret outcomes to support innovation and improve efficiency. The selected individual will define systems and processes that enhance accuracy, scalability, security, and reproducibility of results across projects.

This position requires a strong background in image processing, data engineering, workflow automation, geospatial data systems, and applied analytics, along with experience working in secure mission environments. The ideal candidate will be capable of translating complex datasets into actionable insights through dashboards, reports, technical artifacts, and user-facing tools, while supporting both research and operational objectives.

• Develop and automate image processing and data science workflows that support mission-driven analysis in classified environments.
• Design, implement, andmaintainscalable pipelines for ingesting, cleaning, transforming, integrating, and analyzing imagery, geospatial, and structured operational data.
• Assess data science project requirements and determine appropriate methods, tools, and technologies for workflow automation, image exploitation, and analytic delivery.
• Define systems and processes that ensure data integrity, scalability, auditability, and reproducibility of results across projects.
• Build andoptimizedata models, schemas, and databases that improve data quality, usability, and interoperability across systems.
• Support the automation of preprocessing, feature extraction, metadata exploitation, validation, and quality control for image and geospatial datasets.
• Deliver project results and confer with peers and stakeholders to ensure alignment with research, operational, and sponsorobjectives.
• Contribute to dashboards, technical documentation, reports, software prototypes, briefings, and other artifacts that communicate methods and findings.
• Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

• BS degree in computer science or a related field, and two years of relevant experience data science, image processing, geospatial analysis, data engineering, software engineering, or a related field. An equivalent combination of education and experience may be considered.
• Demonstrated experience designing and implementing end-to-end data systems or automated analytical workflows.
• Experience processing and analyzing large, complex datasets, including imagery, geospatial data, and operational or mission-relevant data sources.
• Experience with Python, SQL, and common libraries/frameworks for data analysis, workflow automation, and image or geospatial data processing.
• Experience with relational databases, data modeling, ETL pipelines, and data wrangling to support scalable and reliable analytical workflows.
• Experience translating analytical outputs into dashboards, reports, visualizations, or briefings for technical and non-technical stakeholders.
• Demonstrated ability to develop and apply data science methods to improve efficiency, accessibility, and decision-making.
• Experience working in secure or classified environments with strong attention to compliance, auditability, and proper data handling practices.
• Strong written and oral…