Matlen Silver
PL/SQL Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a PL/SQL Developer, contract length unspecified, with a pay rate of "unknown," located in Plano, TX. Requires 10+ years SQL expertise, advanced PLSQL experience, and hands-on Oracle DB skills. Preferred experience includes Oracle AI features and cloud DB knowledge.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 11, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
Jersey City, NJ
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🧠 - Skills detailed
#Data Access #ML (Machine Learning) #Python #Scala #Indexing #Security #CLI (Command-Line Interface) #Scripting #Oracle #RDS (Amazon Relational Database Service) #AWS RDS (Amazon Relational Database Service) #Microservices #Azure #API (Application Programming Interface) #Automation #AI (Artificial Intelligence) #Databases #Data Governance #SQL (Structured Query Language) #Infrastructure as Code (IaC) #Data Design #Cloud #AWS (Amazon Web Services) #"ETL (Extract #Transform #Load)" #Monitoring
Role description
Alternate location- Plano TX
- Role summary / mission:
- Provide expert SQL and PLSQL engineering for integrating structured data into AI agent pipelines. Build robust, performant DB queries, stored procedures, and PLSQL that can invoke Oracle-hosted embedding models; enable secure, scalable access for agent and RAG workflows.
- Key responsibilities:
- Design, implement, and optimize PLSQL procedures, functions, and views supporting agent-driven queries.
- Integrate Oracle-hosted embedding/AI features into PLSQL flows.
- Work with ML/LLM engineers to expose structured data safely to LLMs (query builders, templating, sanitization).
- Build and document patterns for structured-data retrieval for agents and RAG pipelines.
- Ensure data access performance, partitioning, indexing, and query optimization.
- Implement monitoring, alerting, and testing for DB-backed AI features.
- Assist in API endpoints or microservices that wrap complex SQL logic when needed.
- Enforce security, least-privilege, and data governance for AI access.
- Required qualifications (must?have):
- Strong SQL expertise (10+ years preferred) and advanced PLSQL experience.
- Hands?on experience with Oracle DB (11g/12c/19c or later) and Oracle-specific features.
- Experience with SQL performance tuning, indexing, explain plans, and query optimization.
- Experience building production stored procedures, functions, packages, and jobs.
- Demonstrated experience integrating SQL/databases with application layers or automation.
- Clear communication skills: can explain business use cases, data models, and tradeoffs.
- Preferred / nice?to?have:
- Direct experience with Oracle’s embedded AI/embedding models or Oracle AI features.
- Experience enabling LLM/agent access to structured data (designing safe retrieval layers).
- Familiarity with RAG patterns and vector embeddings concepts.
- Exposure to DB security, masking, and data governance for ML/AI usage.
- Scripting experience (Python/CLI) to build orchestration or ETL glue.
- Cloud DB experience (OCI/Azure/AWS RDS) and IaC familiarity.
Alternate location- Plano TX
- Role summary / mission:
- Provide expert SQL and PLSQL engineering for integrating structured data into AI agent pipelines. Build robust, performant DB queries, stored procedures, and PLSQL that can invoke Oracle-hosted embedding models; enable secure, scalable access for agent and RAG workflows.
- Key responsibilities:
- Design, implement, and optimize PLSQL procedures, functions, and views supporting agent-driven queries.
- Integrate Oracle-hosted embedding/AI features into PLSQL flows.
- Work with ML/LLM engineers to expose structured data safely to LLMs (query builders, templating, sanitization).
- Build and document patterns for structured-data retrieval for agents and RAG pipelines.
- Ensure data access performance, partitioning, indexing, and query optimization.
- Implement monitoring, alerting, and testing for DB-backed AI features.
- Assist in API endpoints or microservices that wrap complex SQL logic when needed.
- Enforce security, least-privilege, and data governance for AI access.
- Required qualifications (must?have):
- Strong SQL expertise (10+ years preferred) and advanced PLSQL experience.
- Hands?on experience with Oracle DB (11g/12c/19c or later) and Oracle-specific features.
- Experience with SQL performance tuning, indexing, explain plans, and query optimization.
- Experience building production stored procedures, functions, packages, and jobs.
- Demonstrated experience integrating SQL/databases with application layers or automation.
- Clear communication skills: can explain business use cases, data models, and tradeoffs.
- Preferred / nice?to?have:
- Direct experience with Oracle’s embedded AI/embedding models or Oracle AI features.
- Experience enabling LLM/agent access to structured data (designing safe retrieval layers).
- Familiarity with RAG patterns and vector embeddings concepts.
- Exposure to DB security, masking, and data governance for ML/AI usage.
- Scripting experience (Python/CLI) to build orchestration or ETL glue.
- Cloud DB experience (OCI/Azure/AWS RDS) and IaC familiarity.
