- Consolidate scientific and administrative data from legacy platforms, file formats, databases, and isolated environments
- Build pipelines to centralize plankton and groundfish survey data
- Design database architecture and normalized relational schemas for fisheries survey and oceanographic data
- Develop secure internal web applications for NOAA staff to input, query, and edit live data
- Create secure external-partner portals for data viewing, input, and proposed edits
- Implement staging-and-commit workflows requiring approval before external edits affect production
- Analyze flat files, .db3 files, Access databases, legacy SQL databases, and APIs
- Design ETL workflows to migrate data into a centralized Oracle Enterprise environment
- Develop parsing algorithms and validation rules to maintain data integrity and identify anomalies
- Optimize database performance through indexing, partitioning, and query tuning
- Ensure federal data security and PII protection compliance
- Support data analyses and prepare data summaries, reports, publications, and presentations
- Follow SEFSC publication procedures
- Participate in outreach, education efforts, workshops, scientific meetings, symposiums, and public forums
- Work at the SEFSC Laboratory and potentially aboard NOAA ships, charter vessels, and small boats
- Support at-sea surveys, project workshops, and working group meetings, including required travel
Requirements
- Master of Science in Computer Science, Information Systems, Engineering, or related field; or Bachelor of Science in one of these fields plus five years of relevant experience
- Ability to translate scientific processes into logical and physical data models, including Entity-Relationship Diagrams
- Ability to write complex PL/SQL stored procedures, triggers, and packages
- Knowledge of Role-Based Access Control (RBAC)
- Skill in preparing technical documentation, data dictionaries, and user manuals
- Expert-level proficiency with Oracle RDBMS 12c/19c or later
- Proficiency with Oracle APEX highly desired; alternatively Java/Spring Boot, Python/Django or Flask, or .NET
- ETL and Python scripting proficiency, including Pandas and NumPy; PL/SQL; Informatica; or FME
- Front-end development proficiency with HTML5, CSS3, JavaScript, and AJAX
- Experience with Git, GitHub, or GitLab
- Preferred: PostgreSQL or SQL Server knowledge
- Preferred: geospatial data experience including GIS, Oracle Spatial, or ArcGIS
- Preferred: database development and administration experience
- Preferred: workflows with approval gates and audit trails
- Ability to communicate with fisheries scientists and translate requirements into technical specifications
- Previous NOAA or federal agency experience preferred
- Employment subject to successful completion of required background checks and customer security processing
- Ability to work five days per week, generally not exceeding 40 hours
- Ability to work outside normal hours and overtime when authorized for surveys and field activities
- Ability to undertake domestic and international travel as required
Core Competencies
Demonstrates expertise in database architecture, ETL workflows, and data integrity management, with a strong focus on Oracle RDBMS and web application development. Proficient in translating scientific data requirements into technical specifications while ensuring compliance with federal data security standards.
Highest-signal resume keywords
- Oracle RDBMS 12c/19c Expertise
- PL/SQL Stored Procedures Development
- ETL Workflow Design
- Web Application Development with Oracle APEX
- Data Security and PII Compliance
ATS Optimization Keywords
Hard Skills
- Database Architecture Design
- PL/SQL
- ETL Processes
- Data Analysis
- Data Modeling
- Python Scripting
- HTML5
- CSS3
- JavaScript
- AJAX
Soft Skills
- Technical Documentation Preparation
- Communication with Scientists
- Collaboration in Workshops
Industry Keywords
- NOAA
- Fisheries Survey
- Oceanographic Data
- Data Integrity
- Role-Based Access Control
- Federal Data Security
- PII Protection
- Scientific Meetings
- Outreach and Education
- Data Summaries
Tools & Technologies
- Oracle APEX
- Informatica
- FME
- Git
- GitHub
- GitLab
- PostgreSQL
- SQL Server
- GIS
- ArcGIS
#J-18808-Ljbffr