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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
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