Data Coordinator

Tetra Tech is seeking a Data Coordinator to join our Ocean Science team, with flexibility to be based in our Anchorage, AK office or remotely within Alaskan, Hawaii-Aleutian, or Pacific regional time zones within the United States.

This is an exciting opportunity to join a collaborative team of scientists, engineers, and software developers who provide cyberinfrastructure support, data management systems, and scalable technical solutions for organizing and analyzing large diverse datasets for organizations around the world.

At Tetra Tech, we are Leading with Science to solve the world’s most complex challenges. Our industry-leading experts in engineering and consulting are committed to driving positive change in communities around the world. For 60 years, we have been at the forefront of innovation and sustainability. Today we stand as a market leader, offering cutting-edge solutions in water, environment, energy, and international development.

Our science-based planning and design improves lives in our local communities and around the world.

Join Tetra Tech to make a real difference. Our work leverages cutting-edge technologies, advanced analytics, and the expertise of world-class scientists and engineers to create meaningful change around the world. Discover your full potential – join us to advance your career while leaving a lasting legacy.

We’re seeking a Data Coordinator to join our team of data managers and software engineers in support of data curation and data product development. In this role, you will organize, document, and preserve oceanographic and environmental datasets produced by partner organizations. You will work with researchers on single- and multi-year interdisciplinary projects to support data management throughout the project lifecycle, following FAIR Data Principles and CARE Principles.

You will also participate in meetings with funders and researchers, share updates on data management progress, and help lead data management training workshops.

The ideal candidate has a background or strong interest in environmental science, experience with data management, best practices, excellent communication skills, and the ability to work independently while building strong relationships with researchers, partners, and the Tetra Tech Ocean Sciences team.

• Manage scientific data by organizing and documenting datasets to support long-term preservation and public accessibility.
• Assist in selecting and applying standardized data and metadata formats to ensure datasets are analysis-ready and suitable for long-term preservation.
• Develop, monitor, and maintain data and metadata delivery schedules for research teams and project stakeholders.
• Support the salvage, manipulation, and documentation of historical datasets to improve usability and completeness.
• Provide user support for Tetra Tech’s data portals and data management tools.
• Coach and train partner scientists and program staff on data management best practices through formal or informal presentations and meetings.
• Provide data lifecycle support to partner scientists through virtual and in-person meetings, conferences, and product demonstrations.
• Support data management activities across multiple projects and partners simultaneously, adapting to varying timelines, contacts, and program requirements.

• Bachelor’s degree in Library and Information Science , Marine Sciences, Wildlife Biology, Environmental Science, or a related scientific discipline.
• Entry-level candidates will be considered; however, relevant coursework and internship experience are required.
• Familiarity with responsible data management practices and common data formats used for collection, analysis, and preservation, such as CSV and NetCDF .
• Knowledge of and/or experience with standard scientific metadata formats, such as ISO, EML, Darwin Core, CF Conventions, and ACDD.
• Demonstrated ability to synthesize technical information and communicate it clearly to a variety of audiences.
• Self-motivated, independent, and flexible, with the ability to manage multiple priorities.
• Familiarity with and/or…