Environmental Data Science Engineer

Overview

Oak Ridge National Laboratory is seeking an Environmental Data Science Engineer to apply advanced data science methods, tools, and techniques to the design, development, and implementation of data-driven solutions that link advanced informatics and computer science to data management and distribution in Earth and Environmental sciences supporting DOE’s science, energy, and national security missions.

The engineer will develop scientific data management tools:

• Work with frameworks such as D3.js, ExpressJS, Node.js, Java 7/8, Spring Boot, web services, and Python
• Develop geospatial web tools for advanced visualization and real‑time data analysis
• Operate in a DEV/OPS research environment and use source control with Git
• Apply big data technologies such as Cassandra, Spark, GraphQL, or others to analyze large and diverse environmental data

• Master’s Degree in Computer Science, Information Science or related field
• 1.5 years of post‑degree experience developing scientific data management tools for large volume sensor and other data sources
• Proven background in real‑world computer programming applied to ecological and environmental science applications
• Familiarity with High‑Performance Computing (HPC)
• Experience with database systems such as PostgreSQL or MySQL
• Proficient in programming languages Java and Python
• Strong communication skills in English
• Desire to learn and adopt new tools and technologies as required by projects
• Willingness to travel 3–4 times per year to national conferences

Relocation package may be available. Occasional remote work within commuting distance is permitted.

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.