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Database Engineer
- Location: Parsippany-Troy Hills, New Jersey 07054
- Work model: On-site
- Posted 7 weeks ago
- Job ID: JPC - 208640
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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.
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
- Design and implement NL2SQL pipelines to enable natural language querying of enterprise databases
- 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
- 75% Oracle and 25% operational work in Microsoft SQL Server
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
Education
- Bachelor's degree in computer science or related field (required)
- Master's degree in computer science, Data Science, or AI/ML (preferred)
- Experience
- 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
Certifications (Highly Preferred)
- Oracle Certified Professional (OCP) (huge plus)
- AWS Certified Machine Learning Specialty (plus)
Technical Skills
Required
- Databases: Oracle, PL/SQL, SQL, Microsoft SQL Server
- Programming: Python, Shell scripting
- DevOps: Git, Jenkins, Ansible, Artifactory
- Cloud: AWS
- OS: Linux/RedHat
- Oracle Features: VPD, Partitioning, Expert-level Performance Tuning, JSON data in databases
- AI/ML: Prompt Engineering, NL2SQL, Text-to-SQL systems
Preferred
- Databases: RDS Oracle, RDS PostgreSQL
- AI/ML Frameworks: LangChain, LlamaIndex, RAG pipelines
- Vector Search: pgvector, Oracle AI Vector Search
- LLM Platforms: OpenAI API, Azure OpenAI, AWS Bedrock
- Programming: Java, Hibernate
- DevOps: Bitbucket, CI/CD for AI model deployment
- Cloud AI Services: AWS SageMaker, Azure ML
- Oracle Advanced Features: Golden Gate, Cloud Control, Golden Gate BDA
Required Skills :
Basic Qualification :
Additional Skills :
Background Check : Yes
Drug Screen : No
Notes :
Selling points for candidate :
Project Verification Info :
Exclusive to Client :No
Face to face interview required :Yes
Candidate must be local :No
Candidate must be authorized to work without sponsorship :Yes
Interview times set : :No
Type of project :
Master Job Title :
Branch Code :
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Job details
Job ID JPC - 208640
Location Parsippany-Troy Hills, New Jersey, United States
Work Model On-site
Job Type C2C
Posted August 28, 2026
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