Oak Ridge National Laboratory - Oak Ridge, TN

posted about 2 months ago

Full-time - Entry Level
Oak Ridge, TN
5,001-10,000 employees
Professional, Scientific, and Technical Services

About the position

As a Geospatial Data Engineer at Oak Ridge National Laboratory (ORNL), you will play a pivotal role in geospatial data analysis research, focusing on deriving insights from geospatial data for critical applications such as emergency response, population modeling, and risk and resiliency modeling. This position is situated within the Geospatial Data Modelling (GDM) Group in the Human Dynamics (HD) Section of the Geospatial Science and Human Security (GSHS) Division, part of the National Security Sciences Directorate (NSSD). In this role, you will collaborate with a team of innovative researchers, engineers, and technologists to develop cutting-edge technological solutions that significantly impact national security missions. Your work will encompass a wide range of projects aimed at developing geospatial data, models, methods, and computational approaches. You will utilize earth observation, measurement, statistics, surveys, and digital traces to provide insights into human activities and their interactions with the environment, spanning local to global scales. Additionally, you will enhance our capabilities by researching and implementing methods to create foundational data at scale, employing novel data mining and machine learning techniques. The Geospatial Data Engineer will be responsible for designing, developing, and implementing new tools, methods, and algorithms that enhance our ability to collect source data from publicly available resources. You will support the development of authoritative datasets of critical infrastructures, evaluate database schemas, and apply them to scientific outputs. Furthermore, you will automate work tasks, including authoring, managing, and maintaining metadata in various accepted standard formats. Collaboration with cross-functional teams will be essential to understand data requirements and deliver geospatial data in the prescribed formats. All team members are expected to align their behaviors, priorities, and interactions with ORNL's core values of Impact, Integrity, Teamwork, Safety, and Service, while promoting diversity, equity, inclusion, and accessibility in the workplace.

Responsibilities

  • Design, develop, and implement new tools, methods, and algorithms for collecting source data from publicly available sources.
  • Support the development of authoritative datasets of critical infrastructures and evaluate database schemas for scientific output.
  • Automate work tasks, including authoring, managing, and maintaining metadata in accepted standard formats.
  • Collaborate with cross-functional teams to understand data requirements and deliver geospatial data in prescribed formats.

Requirements

  • BS in computer science, geography, geographic information science, remote sensing, environmental engineering, natural sciences, or related field and two (2) years of relevant work experience.
  • Proven experience with development and implementation of data pipelines for geospatial data acquisition, transformation, and integration.
  • Experience with data wrangling and transformation, ensuring data cleanliness and readiness for integration into spatial data development workflows.

Nice-to-haves

  • MS in computer science, geography, geographic information science, remote sensing, environmental engineering, natural sciences, or related field and three (3) years of relevant work experience.
  • Experience with open source GIS software like QGIS, PostGIS, and geospatial Python libraries.
  • Experience in geospatial analysis, data interpretation, database management, and GIS software development tools.
  • Motivated self-starter with the ability to work independently and participate creatively in collaborative teams across the laboratory.
  • Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever-changing needs.
  • Proficient in data wrangling and transformation, ensuring data cleanliness and readiness for integration into spatial data development workflows.
  • Experience with SQL and spatial SQL.

Benefits

  • Medical and retirement plans
  • Flexible work hours
  • On-site fitness facilities
  • Banking services
  • Cafeteria facilities
  • 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
  • Employee Discounts
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