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Assistant Cloud Database Engineer Jobs in New York

Database Engineer Company: Paga Sector: FinTech Position: Database Engineer Reports to: Software ... We have built a multicurrency, cloud-based payments and financial services engine that leverages ...

Database Engineer Company: Paga Sector: FinTech Position: Database Engineer Reports to: Software ... We have built a multicurrency, cloud-based payments and financial services engine that leverages ...

Database Engineer

New York, NY · On-site

$150K - $220K/yr

PowerShell, Shell, Python, Ansible) * Assist with cloud database administration initiatives Your Present Skillset * 5+ years' experience in production database administration for PostgreSQL and SQL ...

Database Engineer

New York, NY · On-site

$150K - $220K/yr

PowerShell, Shell, Python, Ansible) * Assist with cloud database administration initiatives Your Present Skillset * 5+ years' experience in production database administration for PostgreSQL and SQL ...

Senior Database Engineer

Parsippany, NJ · On-site

$106K - $144K/yr

... database assistants using LangChain, LlamaIndex, or similar frameworks. • Develop Retrieval ... Cloud Control, and related advanced Oracle technologies. • Relevant Oracle, AWS, database, or ...

Seeking an experienced Database Engineer with proven leadership in managing distributed teams, along with strong hands-on expertise in Oracle technologies across on-premises and AWS cloud ...

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Assistant Cloud Database Engineer information

What is the difference between Assistant Cloud Database Engineer vs Cloud Database Engineer?

AspectAssistant Cloud Database EngineerCloud Database Engineer
Required CertificationsBasic cloud certifications (e.g., AWS Certified Cloud Practitioner)Advanced certifications (e.g., AWS Certified Solutions Architect)
Work EnvironmentSupportive, entry-level cloud teamsDesigning, implementing, managing cloud databases
Employer & Industry UsageTech companies, cloud service providersLarge enterprises, cloud service providers
Common Search & ComparisonYesYes

The Assistant Cloud Database Engineer typically supports cloud database operations under supervision, focusing on learning and assisting with tasks. In contrast, a Cloud Database Engineer takes on more responsibility for designing and managing cloud database solutions independently. Both roles require cloud certifications and are common in tech and cloud industries, but the Cloud Database Engineer role involves more advanced skills and project ownership.

What are the most commonly searched types of Cloud Database Engineer jobs in New York? The most popular types of Cloud Database Engineer jobs in New York are:
What job categories do people searching Assistant Cloud Database Engineer jobs in New York look for? The top searched job categories for Assistant Cloud Database Engineer jobs in New York are:
What cities in New York are hiring for Assistant Cloud Database Engineer jobs? Cities in New York with the most Assistant Cloud Database Engineer job openings:

Database Engineer

Advanced Tech Placement

Parsippany Troy Hills, NJ • On-site

Other

Posted 17 days ago


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 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 an HCM system then 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
  • Oracle Certified Professional (OCP) (huge plus)
  • AWS Certified Machine Learning Specialty (plus)

Required Technical Skills

  • 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 Technical Skills

  • 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