Find & Apply For Database Administrator Jobs in Parsippany-Troy Hills, New Jersey

Browse jobs from a variety of sources below, sorted with the most recently published, nearest to the top. Click the title to view more information and apply online.

Skip to job details

Now viewing: Sr SQL/Oracle DBA

Apply for this opportunity

To apply for this job, you'll continue to an external website or email application.

Apply Offsite

Compunnel, Inc.

Sr SQL/Oracle DBA

Pay: Not specified

Posted: 5 weeks ago

Location: Parsippany-Troy Hills, NJ (Onsite)

Last Updated: 1 week ago

Hours: Full-Time

Expires: 10/7/2026

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 Oracle Certified Professional (OCP) (huge plus) AWS Certified Machine Learning Specialty (plus) Essential Duties & Responsibilities 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