Sr SQL/Oracle DBA

Compunnel, Inc.; New Jersey; On-site; USD 150,000 - 190,000; Full time

Job summary

Compunnel, Inc. seeks an accomplished database engineer at the intersection of enterprise database engineering and Gen AI to build AI-powered data solutions for a massive Human Capital Management system.

Join a fast-paced team to design scalable services, optimize PL/SQL/SQL, develop ML pipelines, and implement RAG/LLM tooling with LangChain and LlamaIndex. You will deploy changes across environments and contribute to prompt engineering for AI applications.

Qualifications

• Bachelor's degree in computer science or related field (required).
• Master's degree in CS, Data Science, or AI/ML (preferred).
• 10+ years as a Database Developer/DBA in a fast-paced agile environment.
• 7+ years as an Oracle Developer/DBA with expert PL/SQL and SQL.
• 2+ years of hands-on Generative AI/LLMs/ML pipelines (preferred).
• Deep expertise in database internals, PL/SQL, SQL, Python/Shell.
• AWS Certified Machine Learning Specialty (plus).

Responsibilities

• Design and build scalable database services and solutions to complex business problems.
• Debug critical database issues and provide root-cause analysis with long-term solutions.
• Research, design, develop, and modify applications using SQL, PL/SQL, Python, and AI-assisted tools.
• Prototype solutions and adopt Generative AI and LLM-powered database tooling.
• Deploy database changes across production and non-production environments.
• Build and maintain LLM-powered database assistants using LangChain/LlamaIndex.
• Develop RAG solutions using data from Oracle and PostgreSQL databases.
• Integrate AI-powered query optimization to enhance tuning workflows.
• Leverage AI coding assistants to accelerate PL/SQL and Python development.
• Build vector database integrations for semantic search.

Skills

PL/SQL

SQL

Python

Shell

Generative AI

LLMs

AI tooling

Database internals

Prompt engineering

AI model serving

Education

Bachelor's degree

Master's degree (preferred)

Tools

Oracle

PostgreSQL

LangChain

LlamaIndex

GitHub Copilot

Amazon Q

Job description

If you are a passionate database engineer who would love to sit at the intersection of traditional enterprise database engineering and the emerging Gen AI revolution — building next-generation, AI-powered data solutions that transform how tens of thousands of users interact with the largest Human Capital Management system then we have a perfect role for you and we would like to have a discussion with you.

Education / Experience / Certification

Bachelor's degree in computer science or related field (required)

Master's degree in computer science, Data Science, or AI/ML (preferred)

10+ years of experience as a Database Developer/DBA in a fast-paced agile environment

7+ years as an Oracle Developer/DBA with expert-level PL/SQL and SQL skills

2+ years of hands-on experience with Generative AI, LLMs, or ML pipelines in a production environment (preferred)

Deep expertise in database internals, expert-level PL/SQL, SQL, and Python/Shell programming

AWS Certified Machine Learning Specialty (plus)

Core Database Engineering

Design and build scalable database services and solutions to complex business problems

Debug critical database issues and provide root-cause analysis with long-term solutions

Research, Design, Develop, and/or modify applications using SQL, PL/SQL, Python, and AI-assisted development tools

Prototype solutions and recommend adoption of new technologies including Generative AI and LLM-powered database tooling

Development and Deployment of application database changes/releases across production and non-production environments

Build and maintain LLM-powered database assistants using frameworks such as LangChain, LlamaIndex, or similar

Develop Retrieval-Augmented Generation (RAG) solutions using structured/unstructured data from Oracle and PostgreSQL databases

Integrate AI-powered query optimization tools to enhance database performance tuning workflows

Leverage GitHub Copilot, Amazon Q, or similar AI coding assistants to accelerate PL/SQL and Python development

Build vector database integrations (pgvector, Oracle AI Vector Search) for semantic search capabilities

Evaluate and adopt AI/ML model serving patterns (batch vs. real-time inference) for database-adjacent workloads

Drive prompt engineering best practices for database-related AI applications