Company Overview TechGlobal, Inc. is a subsidiary of FedGeek and a leader in delivering innovative Professional Services and IT Solutions to government agencies at all levels. We are dedicated to empowering our clients through cutting-edge technology and expert support.
Note: this position requires a background check
About the Role
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).
In this position, you will play a central role in modernizing database architecture to handle cutting-edge Electronic Monitoring (EM) and AI-generated fisheries data. You will design database schemas for AI outputs, construct automated ingestion procedures, and integrate post-processed EM datasets into unified presentation views (Compass). Your work will establish the core data infrastructure required for enterprise-level QA/QC auditing processes across marine monitoring initiatives.
Key Responsibilities
- 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.
Qualifications & Requirements
- 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.
Pay: $78,000.00 - $84,000.00 per year
Benefits:
- 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
Education:
- Bachelor's (Required)
Experience:
- Database development: 4 years (Required)
Work Location: Remote
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