Ocean Data Engineer for Real Time Applications & Dashboards

Texas A&M University; College Station (TX); On-site; USD 80,000 - 110,000; Full time

Benefits offered by this job

Health benefits including medical, Rx,

Dental and vision coverage

Retirement plan

Job summary

Texas A&M University seeks an Applications Specialist for the Gulf of America Coastal Ocean Observing System (GCOOS). The role focuses on managing High Frequency Radar and underwater glider data, developing data products, and delivering robust marine data services to a diverse user base.

The ideal candidate will have a solid background in Python, data analysis, and oceanography-related data handling, with strong communication and collaborative skills for cross-team work with the DMAC group.

Qualifications

• Bachelor’s degree in Computer Science, GIS, Geography, Oceanography, Earth Sciences, Physics, Environmental Science, Engineering or related field.
• Four months of related experience in IT, GIS, Geography, Oceanography, Earth Sciences, Physics, Environmental Science, Engineering or related field with Python experience.
• Ability to travel for conferences or outreach events and lift up to 20 lbs with assistance.

Responsibilities

• Maintains and enhances underwater glider piloting tool (GANDALF) and its database, and the HFR dashboard.
• Develops data pipelines and reviews oceanographic data and metadata.
• Supports DMAC by maintaining servers, infrastructure, and data pipelines for reliable services.
• Collaborates with partners to advance GCOOS initiatives and contributes to proposals.

Skills

Python programming

Data analysis

Oceanography data handling

Software development

Communication

Education

Bachelor’s degree in Computer Science, GIS, Geography, Oceanography, Earth Sciences, Physics, Environmental Science, Engineering or related field

Master’s degree (preferred)

Tools

Nginx

Tornado

Apache

Job description

Texas A&M University seeks an Applications Specialist for the Gulf of America Coastal Ocean Observing System (GCOOS). The role focuses on managing High Frequency Radar and underwater glider data, developing data products, and delivering robust marine data services to a diverse user base.

The ideal candidate will have a solid background in Python, data analysis, and oceanography-related data handling, with strong communication and collaborative skills for cross-team work with the DMAC group.