Database Engineer

Advanced Tech Placement

Parsippany-Troy Hills (NJ)

On-site

USD 120,000 - 160,000

Full time

14 days+

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Job summary

Advanced Tech Placement is seeking a Database Engineer to join our contract opportunity focused on Gen AI-enabled data solutions for an enterprise HR system. You will work at the intersection of traditional database engineering and AI-powered data workflows, shaping scalable architectures.

The role requires deep Oracle/SQL/PL-SQL expertise, plus hands-on Python and experience with AI tooling to drive performance and innovation across environments.

Qualifications

  • Bachelor's degree in computer science or related field required.
  • Master's degree in CS/Data Science/AI/ML preferred.
  • 10+ years in Database Development/DBA in agile environments.
  • 7+ years Oracle Developer/DBA with expert PL/SQL/SQL.

Responsibilities

  • Design and build scalable database services to solve complex business problems.
  • Debug critical database issues and provide root-cause analysis.
  • Develop and deploy DB changes across prod and non-prod environments.
  • Build LLM-powered database assistants and RAG solutions using Oracle and PostgreSQL.

Skills

PL/SQL
SQL
Python
Shell scripting
AI/ML
Prompt Engineering

Education

Bachelor's degree in computer science or related field
Master's degree in computer science, Data Science, or AI/ML

Tools

Oracle Database
AWS
LangChain
LlamaIndex
GitHub Copilot

Job description

We are looking for a Database Engineer for a contract opportunity.If you are a passionate database engineer who would love to sit at theintersection 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 an HCM systemthen we have a perfect role for you and we would like to have a discussion with you.

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 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)
Required Technical Skills
  • 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 Technical Skills
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