1

Ocean Data Jobs (NOW HIRING)

The Water-level Data Manager is responsible for the end-to-end stewardship lifecycle of coastal and deep-ocean water-level datasets (such as tide gauge observations, bottom pressure recorder data ...

Water Level Data Manager

Boulder, CO · On-site

$60K - $70K/yr

The Water-level Data Manager is responsible for the end-to-end stewardship lifecycle of coastal and deep-ocean water-level datasets (such as tide gauge observations, bottom pressure recorder data ...

Show brands, with data and hands-on partnership, exactly how effective Ocean can be for their business. * Drive adoption and expansion. Work with brands to maximize their use of Ocean's features ...

Show brands, with data and hands-on partnership, exactly how effective Ocean can be for their business. * Drive adoption and expansion. Work with brands to maximize their use of Ocean's features ...

Show brands, with data and hands-on partnership, exactly how effective Ocean can be for their business. * Drive adoption and expansion. Work with brands to maximize their use of Ocean's features ...

Show brands, with data and hands-on partnership, exactly how effective Ocean can be for their business. * Drive adoption and expansion. Work with brands to maximize their use of Ocean's features ...

Ocean Import Coordinator

Cranford, NJ · On-site

$21.50 - $28/hr

Coordinate end-to-end ocean import shipments, ensuring timely execution from arrival through final ... Maintain accurate shipment records, client reports, and operational data within the transportation ...

Show brands, with data and hands‑on partnership, exactly how effective Ocean can be for their business. * Drive adoption and expansion. Work with brands to maximize their use of Ocean's features ...

Show brands, with data and hands-on partnership, exactly how effective Ocean can be for their business. * Drive adoption and expansion. Work with brands to maximize their use of Ocean's features ...

Ocean Import Manager

Atlanta, GA · On-site

$86.69 - $108.36/hr

Analyze performance data to identify trends and opportunities for improvement. Supervisory Responsibilities * Lead a large team of ocean import supervisors, leads, operators, and support staff.

New

Analyze performance data to identify trends and opportunities for improvement. Supervisory Responsibilities * Lead a large team of ocean import supervisors, leads, operators, and support staff.

Showing results 41-60

Ocean Data information

What is an ocean data job?

Ocean Data jobs involve collecting, analyzing, and interpreting data related to the ocean and marine environments. Professionals in these roles may work with data from satellites, sensors, and field observations to understand ocean conditions, monitor marine ecosystems, and support research on climate change, fisheries, and oceanography. These jobs can be found in government agencies, research institutions, environmental organizations, and private companies. Skills in data analysis, programming, and marine science are often required. Ocean Data specialists play a crucial role in informing policy decisions, conservation efforts, and scientific discoveries.

How does an ocean data professional typically collaborate with scientists and engineers in multidisciplinary teams?

Ocean Data professionals frequently work alongside oceanographers, marine biologists, and engineers to collect, analyze, and interpret large datasets from oceanographic expeditions or remote sensing instruments. They often act as a bridge between data acquisition and scientific research, ensuring data quality, managing databases, and facilitating the integration of diverse data sources. Regular meetings, collaborative troubleshooting, and joint project planning are common, making strong communication and teamwork skills essential for success in this role.

What are the key skills and qualifications needed to thrive as an ocean data analyst, and why are they important?

To thrive as an Ocean Data Analyst, you need strong analytical skills, a background in marine science or oceanography, and proficiency in data management, often supported by a relevant degree. Familiarity with statistical software (such as MATLAB or R), GIS tools, and remote sensing systems is typically required. Critical thinking, attention to detail, and effective communication are key soft skills that enhance data interpretation and collaboration with multidisciplinary teams. These capabilities are vital for accurately analyzing complex ocean datasets and informing research, policy, or environmental management decisions.

What cities are hiring for Ocean Data jobs?

Cities with the most Ocean Data job openings:

What states have the most Ocean Data jobs?

States with the most job openings for Ocean Data jobs include:

Infographic showing various Ocean Data job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 92% In-person, and 8% Remote job distribution.

Water Level Data Manager

CSS, Inc

Boulder, CO • Hybrid

Full-time

Re-posted 2 days ago


Job description

CSS is seeking a Water-level Data Manager to support NOAA's National Centers for Environmental Information's (NCEI), Coasts Oceans and Geophysics (COGS) Division and Data Archive Branch. The Water-level Data Manager is responsible for the end-to-end stewardship lifecycle of coastal and deep-ocean water-level datasets (such as tide gauge observations, bottom pressure recorder data, and related marine geophysical datasets). This role is critical to the NCEI mission of preserving, documenting, and disseminating high-quality climate and oceanographic records.

The successful candidate will manage raw data ingest pipelines, ensure compliance with metadata standards to make data Findable, Accessible, Interoperable, and Reusable (FAIR), manage public dataset dissemination, and support infrastructure modernization-including Open Information Stewardship Service (OISS) workflows and cloud-native database transitions.

Location & Work Arrangement
  • Location: Boulder, CO
  • Work Arrangement: Hybrid to include a minimum of 2 days per week onsite, supporting a geographically dispersed team.
Responsibilities

1. Data Ingest and Archiving

  • Manage the end-to-end intake pipelines for raw water-level observational data from diverse partner networks, observing platforms, and in situ sensors.
  • Act as the primary technical Point-of-Contact (POC) for external data providers, scientific partners, and operational agencies regarding data ingest schedules, transfer mechanisms, and archiving anomalies.
  • Examine, validate, and process incoming data streams to verify completeness, perform initial quality assurance/quality control (QA/QC), run unit conversions, and execute necessary format reformatting.
  • Securely archive processed datasets in NCEI storage systems in accordance with federal data preservation guidelines.

2. Metadata Compliance and Documentation

  • Author, validate, and maintain standards-compliant XML metadata records (such as ISO 19115 and ISO 19139) to describe water-level collections and products.
  • Work collaboratively with science teams and data partners to establish data documenting standards, including assigning standardized global attributes within scientific formats.
  • Support the implementation of controlled scientific vocabularies and taxonomies to ensure semantic interoperability and discoverability in platforms like NOAA OneStop, Geoportal, and Data.gov.
  • Author and update technical Standard Operating Procedures (SOPs), data specification agreements, and workflow architecture descriptions.

3. Public Dissemination and Data Access

  • Coordinate and oversee the public release of finalized coastal and deep-ocean datasets, ensuring low-latency access for stakeholders and the broader scientific community.
  • Maintain Web Accessible Folders (WAFs) and open-access interoperable data catalogs that support search interfaces and map viewers.
  • Respond to technical data queries from academic, commercial, and governmental users, documenting customer interactions in tracking repositories.

4. Workflow Modernization and Cloud Migration

  • Collaborate with the Data Migration Team to develop and refine operational data workflows within the Open Information Stewardship Service (OISS) framework.
  • Support the "lift-and-shift" transition of legacy on-premise archiving pipelines, databases, and metadata files into cloud environments (principally AWS) to enhance scalability and cloud-native access.
  • Assist in modernizing scientific data processing systems by applying automated continuous integration/continuous deployment (CI/CD) practices.
Required Skills
  • Data Stewardship: Proven experience in scientific or environmental data management, including archiving, validating, and managing large datasets.
  • Metadata Standards: Deep understanding of geospatial metadata standards, specifically ISO 19115, ISO 19139, or FGDC CSDGM.
  • Modern Scripting: Proficient programming skills in Python for automating data ingest, processing pipelines, and manipulating metadata.
  • Database & APIs: Some experience with SQL database management systems (such as PostgreSQL/PostGIS) and building or interacting with REST-based APIs.
  • Version Control: Demonstrated experience using Git and collaborative repositories (e.g., GitHub or GitLab) in a software development environment.
  • Technical Writing: Exceptional verbal and written communication skills with experience drafting technical documentation, user guides, or formal Standard Operating Procedures (SOPs).
  • Security Clearance: Must be able to pass a background investigation to obtain a federal security badge for access to government facilities and IT networks.
Preferred Skills
  • Environmental/Oceanographic Domain Knowledge: Familiarity with coastal observing systems, tide and water-level observations, or oceanographic research variables.
  • Scientific Data Formats: Experience working with traditional scientific self-documenting formats (e.g., netCDF, HDF5) and cloud-optimized formats (e.g., Parquet, Zarr).
  • Cloud Architecture: Practical familiarity with cloud service platforms, especially AWS (such as S3, EC2, Lambda) and data-migration methodologies.
  • Modern Scripting: Proficient with R for data analytics and visualization.
  • Containerization & Devops: Familiarity with Docker or Podman container tools, and Agile/Scrum software development frameworks.
  • Workflow Automation: Experience developing or maintaining orchestration services, web service pipelines, or ETL/ELT processes.
Education
  • Bachelor's degree in Physical Science (such as Oceanography, Atmospheric Science, Meteorology, or Physics), Computer Science, Library or Information Science, or a related scientific/technical discipline.

At CSS, we are committed to fostering an inclusive and merit-based workplace. We provide equal employment opportunities to all individuals, ensuring that hiring and employment decisions are based on qualifications, skills, and performance. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.