Database Engineer

Advanced Tech Placement
  • Parsippany, NJ
  • Instant Apply
30+ days ago

Job Description

We are seeking a Database engineer for a contract opportunity. 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
  • 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 Engineer in a fast-paced agile environment
  • 7+ years with Oracle development 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)
Technical Skills
Required
  • Databases: Oracle, MSSQL, PL/SQL, SQL
  • 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: LangChain, LlamaIndex, RAG pipelines, Vector stores(pgVector)
  • LLM Platforms: OpenAI API, Azure OpenAI, AWS Bedrock
  • 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

 

Numbers & Facts

LocationParsippany, NJ

Skills

  • Amazon Web Services (AWS)unmatched
  • Ansibleunmatched
  • Artificial Intelligence (AI)unmatched
  • Best Practicesunmatched
  • Cloud Computingunmatched
  • Computer Scienceunmatched
  • Continuous Deployment/Deliveryunmatched
  • Continuous Integrationunmatched
  • Data Scienceunmatched
  • Database Programmingunmatched
  • Debugging Skillsunmatched
  • Design Patterns Programming Methodologiesunmatched
  • DevOpsunmatched
  • Gitunmatched
  • GitHubunmatched
  • JSONunmatched
  • Jenkinsunmatched
  • Linux Operating Systemunmatched
  • Machine Learningunmatched
  • Machine Toolunmatched
  • Mentoringunmatched
  • Microsoft SQL Serverunmatched
  • Microsoft Windows Azureunmatched
  • Operating Systemsunmatched
  • Oracleunmatched
  • Oracle Databaseunmatched
  • Oracle PL-SQLunmatched
  • Performance Tuning/Optimizationunmatched
  • PostgreSQLunmatched
  • Problem Solving Skillsunmatched
  • Production Systemsunmatched
  • Programming Toolsunmatched
  • Prototypingunmatched
  • Python Programming/Scripting Languageunmatched
  • Query Optimizationunmatched
  • Red Hat Linux Operating Systemunmatched
  • Requirements Managementunmatched
  • Root Cause Analysisunmatched
  • SQL (Structured Query Language)unmatched
  • Scalable System Developmentunmatched
  • Semantic Searchunmatched
  • Software Developmentunmatched
  • Structured Dataunmatched
  • Talent Managementunmatched
  • Technical Leadershipunmatched
  • Test Automationunmatched
  • Test Driven Development (TDD)unmatched
  • Time Managementunmatched
  • Unit Testunmatched
  • Unix Shell Programmingunmatched
  • Unstructured Dataunmatched
  • User Interface/Experience (UI/UX)unmatched

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