Database Engineer

We have 5 urgent openings for " Database Engineer ". These are hybrid roles. Only looking for candidates who can work on W2 Strictly no C2C or third-party vendors Location: Parsippany, NJ Duration: 12+ months 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 Quality & Leadership Self-reliant, hands-on technical leader driving code quality, AI governance, and database AI practices Collaborate with database peers, product owners, UX/UI, and globally distributed teams on AI-enhanced database solutions Define engineering best practices including AI-assisted Test-Driven Development (TDD) and automated unit testing for database development Mentor teams on AI tool adoption, prompt engineering, and AI use in data engineering Develop specifications for new database services incorporating AI-native design patterns Meet deadlines and manage multiple, dynamic priorities in an agile environment 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) Technical Skills Required Databases: Oracle, MSSQL, PL/SQL, SQL Programming: Python, Shell scripting Cloud: AWS Oracle Features: VPD, Partitioning, Expert-level Performance Tuning, JSON data in databases AI/ML: Prompt Engineering, NL2SQL, Text-to-SQL systems Preferred #J-18808-Ljbffr