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Texas A&M University System

Texas public university system

Applications Specialist

Data EngineeringConfirmed live in the last 24 hours
Full-timeCollege Station, TX, USANo salary listed

About the Job

Requirements

  • A bachelor's degree in Computer Science, GIS, Geography, Oceanography, Earth Sciences, Physics, Environmental Science, Engineering, or another related field.
  • Four months of related experience in Information Technology, GIS, Geography, Oceanography, Earth Sciences, Physics, Environmental Science, Engineering, or another related field, including Python programming experience.
  • Ability to manage event setup and execution, including lifting up to 20 pounds with assistance.
  • Ability to travel as needed for conferences or outreach events and independently to other or remote locations by driving or flying on commercial airlines.

Responsibilities

  • Maintain and enhance the underwater glider piloting tool (GANDALF) and its database, as well as the High Frequency Radar dashboard and database, including integrating new assets and developing associated data pipelines.
  • Compile, organize, validate, and review oceanographic data and metadata from various sensors and platforms, and implement and maintain data collection, processing, and summarization workflows for field observations.
  • Maintain and troubleshoot servers, infrastructure, software applications, and data pipelines to ensure reliable and up-to-date services in support of the GCOOS Data Management and Cyberinfrastructure Team.
  • Analyze oceanographic data, conduct testing, and use summarized results from databases and scientific publications to inform the development and improvement of data products and software applications.
  • Design, develop, and maintain software applications and data services for specific projects using Python at a minimum.
  • Collaborate with governmental and nongovernmental partners and stakeholders to support project implementation and advance GCOOS initiatives.
  • Represent GCOOS at relevant virtual and in-person meetings, conferences, and events, including travel as needed.
  • Contribute to the preparation of proposals for funding agencies and develop and maintain training materials for internal and external users.

Desired Qualifications

  • A master's degree in Data Science, Computer Science, GIS, Geography, Oceanography, Earth Sciences, Physics, Environmental Science, Engineering, or a related field.
  • Two years of experience in Computer Science, Information Technology Management, GIS, Geography, Oceanography, Earth Sciences, Physics, Environmental Science, Engineering, or another related field; a master's degree is equivalent to two years of experience.
  • Understanding of exploratory data analysis, data visualization, cloud computing, web application development and deployment, and scientific datasets.
  • Experience with web server deployment and development using Nginx, Tornado, or Apache.
  • Proficiency in scientific writing, preferably geologic and oceanographic writing.
  • Ability to communicate effectively both orally and in writing.
  • Strong interpersonal and organizational skills.
  • Working knowledge of office software and instructional programs.
  • Proficiency in Microsoft Office Suite and project management tools.
  • Strong organizational and event management skills.
  • Ability to interact positively and professionally with clients and staff, including groups of various sizes.

About the Company

Texas A&M University System

Texas public university system

Texas A&M University System is a statewide public university system combining higher education, research, and public-service agencies. The system coordinates universities and state agencies that deliver teaching, research, extension, engineering, health, and community programs. It serves students, faculty, researchers, public agencies, industries, and communities throughout Texas. Its operating model centers on autonomous member institutions connected through system governance, shared services, public funding, and statewide missions. Teams work across instruction, research, healthcare, extension, engineering, technology, administration, facilities, and public service. Teams support coordinated daily delivery.

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