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AGM Tech Solutions - A Woman and Latina-owned IT Staffing Firm-an Inc. 5000 company

Sr. Database Engineer

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What they do

A Database Architect builds integrated data systems for a company or organization. Creates structures needed for different types of information processed, integrates structures into a system that is reliable and secure, sets system standards, and provides help with troubleshooting and access to data.

$119,227 / year median in New Jersey

-2% projected decline

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Job Description

Sr. Database Engineer at AGM Tech Solutions - A Woman and Latina-owned IT Staffing Firm-an Inc. 5000 company Sr. Database Engineer at AGM Tech Solutions - A Woman and Latina-owned IT Staffing Firm-an Inc. 5000 company in Denville, New Jersey Posted in about 7 hours ago.

Type:

full-time Hybrid in Parsippany, NJ or Alpharetta, GA Locals only please. Database engineer (Oracle, SQL)

Position Summary:

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 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) 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