Database Developer - Electronic Monitoring & AI Data Architecture

We are seeking an experienced Database Developer to join the Data and Information Systems Branch (DIS) team supporting NOAA’s National Marine Fisheries Service (NMFS)., * AI Data Schema Architecture: Design and execute database schema updates to accommodate AI-generated EM datasets, creating specialized fields for confidence scores, Regions of Interest (ROIs), and metadata.

• Ingestion & Validation Workflows: Develop robust database procedures to ingest, validate, and compare third-party AI algorithm outputs against holdout validation sets, managing secure provider data access during evaluation phases.
• Modernized EM Data Access: Integrate EM post-processed datasets into Compass presentation views to provide modernized, streamlined data access for viewing, editing, and managing EM data.
• Data Integration & QA/QC Support: Build unified data pipelines and structures that serve as the foundation for multi-system reporting and advanced QA/QC auditing workflows.
• System Operations & Support: Perform database tuning, routine monitoring, audit logging, patch coordination, and troubleshooting to maintain peak system performance and security.
• Agile & Version Control: Collaborate with cross-functional teams in daily Scrums and bi-weekly Sprints, maintaining all code and database scripts within Git/GitHub repositories.
• Documentation: Create and maintain comprehensive technical documentation, data models, and SOPs for all database projects.

• Experience: 4+ years of hands-on database development and data modeling experience.
• Education: Bachelor’s degree in Computer Science, Information Systems, or a related field preferred.
• Database & SQL Mastery: Proficient in database design, performance tuning, and writing complex stored procedures and queries (PL/SQL, PostgreSQL, Oracle, or MySQL).
• Data Pipeline Development: Experience designing database schemas for complex/unstructured metadata (e.g., AI/ML outputs, ROIs, confidence scores) and developing automated validation routines.
• Methodologies & Tools: Familiarity with Agile/Scrum practices and code versioning using Git/GitHub.
• Communication & Collaboration: Excellent written and verbal communication skills with a proven ability to work effectively within dispersed, multi-disciplinary teams.

Preferred Qualifications

• Experience with Oracle APEX, SQL Developer, or AWS/GCP cloud database integrations.
• Background in developing data presentation views or integrating disparate data sources into unified reporting interfaces (e.g., Compass views).
• Familiarity with fisheries monitoring data, scientific sampling programs, or computer vision metadata outputs.

We value energetic professionals eager to make impactful contributions in a fast-paced environment while advancing their expertise in cutting-edge data architectures., * Bachelor’s (Required)

Experience:

• Database development: 4 years (Required)

Pulled from the full job description Professional development assistance Tuition reimbursement 401(k) Health insurance 401(k) matching Paid time off Vision insurance, * 401(k)

• 401(k) matching
• Dental insurance
• Employee assistance program
• Flexible spending account
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Professional development assistance
• Tuition reimbursement
• Vision insurance

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