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Remote Database Engineer Jobs in Queens, NY (NOW HIRING)

Growth Engineer (Remote)

New York, NY · On-site +1

$120K - $130K/yr

Python or TypeScript, APIs, webhooks, a database. Nothing should be blocked waiting for an engineer ... Fully remote (US-based), with our Brooklyn office available if you want one. * All the tokens you ...

Data Engineer

Secaucus, NJ · Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Secaucus, NJ(Remote) Job Details: We are seeking a skilled Data ... Proficiency in Snowflake SQL and experience with relational databases (e.g., MySQL, PostgreSQL)

Data Engineer

Secaucus, NJ · Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Secaucus, NJ(Remote) Job Details: We are seeking a skilled Data ... Proficiency in Snowflake SQL and experience with relational databases (e.g., MySQL, PostgreSQL)

Software Engineer (Go)

Syosset, NY · On-site +1

$80K - $135K/yr

Experience with database programming Extra consideration given to candidates who have: * Production ... Syosset, NY (US Headquarter) / Remote (North America) All your information will be kept ...

OpenSearch & Vector Databases * RAG (Retrieval-Augmented Generation) architectures * Agentic ... Prompt engineering & optimization * Model evaluation & testing frameworks * AI observability ...

Senior Data Engineer

New York, NY · On-site +1

$126K - $180K/yr

Senior Data Engineer The Data team is responsible for designing and operating the data ... Employees who do not live near one of our hubs are part of our remote workforce. All employees ...

Senior Data Engineer

New York, NY · On-site +1

$126K - $180K/yr

Senior Data Engineer The Data team is responsible for designing and operating the data ... Employees who do not live near one of our hubs are part of our remote workforce. All employees ...

Showing results 41-60

Remote Database Engineer information

See Queens, NY salary details

$63.1K

$127.4K

$174.8K

How much do remote database engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for remote database engineer in Queens, NY is $127,419.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,800.00 and $146,100.00 per year, depending on experience, location, and employer.

What is a remote database engineer?

A Remote Database Engineer is a professional who designs, implements, maintains, and optimizes database systems while working from a location outside of a traditional office setting. Their responsibilities include ensuring database security, troubleshooting issues, managing backups, and improving performance, all while collaborating with other team members virtually. They often work with a range of database technologies such as SQL, NoSQL, and cloud-based solutions to support business applications and data needs.

How does a remote database engineer typically collaborate with development and operations teams to ensure database reliability?

As a Remote Database Engineer, you'll frequently coordinate with both development and operations teams through virtual meetings, collaborative platforms, and ticketing systems. Your main responsibilities include reviewing schema changes, optimizing queries, and troubleshooting performance issues alongside developers. You'll also work with operations staff to implement backup strategies, monitor database health, and ensure security compliance. Clear communication and proactive documentation are essential for seamless collaboration in a remote environment.

What are the key skills and qualifications needed to thrive as a remote database engineer, and why are they important?

To thrive as a Remote Database Engineer, you need strong expertise in database design, optimization, and management, typically supported by a degree in computer science or a related field. Familiarity with database platforms like MySQL, PostgreSQL, Microsoft SQL Server, and cloud-based systems, along with certifications such as Oracle Certified Professional or AWS Certified Database - Specialty, is highly valued. Excellent problem-solving, communication, and self-management skills are crucial for collaborating across distributed teams and maintaining system reliability. These skills and qualities are important to ensure secure, efficient, and scalable database solutions in a remote work environment.

What is the difference between Remote Database Engineer vs Remote Data Analyst?

AspectRemote Database EngineerRemote Data Analyst
Required CredentialsBachelor's in Computer Science, SQL, database certificationsBachelor's in Statistics, Data Science, SQL, Excel skills
Work EnvironmentDeveloping, maintaining, and optimizing databases remotelyAnalyzing data sets, creating reports remotely
Employer & Industry UsageTech, finance, healthcare companies managing data infrastructureMarketing, finance, consulting firms interpreting data trends

Remote Database Engineers focus on building and maintaining databases, requiring technical certifications and programming skills. Remote Data Analysts interpret data to inform business decisions, emphasizing analytical tools and reporting. Both roles are common in tech-driven industries and often overlap in data-related tasks, but they serve different core functions in data management and analysis.

What are the most commonly searched types of Database Engineer jobs in Queens, NY?

The most popular types of Database Engineer jobs in Queens, NY are:

What are popular job titles related to Remote Database Engineer jobs in Queens, NY?

For Remote Database Engineer jobs in Queens, NY, the most frequently searched job titles are:

What job categories do people searching Remote Database Engineer jobs in Queens, NY look for?

The top searched job categories for Remote Database Engineer jobs in Queens, NY are:

What cities near Queens, NY are hiring for Remote Database Engineer jobs?

Cities near Queens, NY with the most Remote Database Engineer job openings:

Agentic AI Engineering Architect (Remote -US)

OMG Technologies

Jersey City, NJ • On-site, Remote

Contractor

Posted 3 days ago

New


Job description

Agentic AI Engineering Architect - Remote (US)
We are looking to hire a candidate with the mentioned skill sets and experience for one of our clients within the pharmaceutical Industry. This is a REMOTE role.
Position Overview
Lead the transformation of the software engineering organization into an AI-augmented, agentic engineering model. You will architect an enterprise framework that uses AI agents across the Product Development Life Cycle (PDLC) from requirements and architecture through development, testing, DevSecOps, release, and operations.
Key Responsibilities
  • Define the AI-native SDLC / Agentic PDLC architecture and roadmap.
  • Architect multi-agent workflows for requirements, architecture, development, testing, security, DevOps, compliance, and release management.
  • Design the enterprise AI Engineering Platform/Harness, including LLM gateway, RAG, vector databases, knowledge graphs, MCP, agent registry, orchestration, memory, observability, and evaluation.
  • Drive AI-enabled software engineering transformation, including AI coding, code review, automated testing, documentation, refactoring, and DevSecOps.
  • Define enterprise architectures across cloud, microservices, APIs, data, event-driven systems, and AI infrastructure.
  • Establish AI governance, security, Responsible AI, validation, and regulatory compliance practices.
  • Lead enterprise AI adoption, engineering enablement, training, and change management.
  • Evaluate and select AI platforms and frameworks such as OpenAI, Azure AI, AWS Bedrock, Google Gemini, Anthropic, LangGraph, AutoGen, Semantic Kernel, LangChain, MCP, GitHub Copilot, Cursor, and Claude Code.

Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, or related field; Master's preferred.
  • 12+ years of enterprise software engineering experience.
  • 8+ years leading enterprise architecture initiatives.
  • 5+ years leading cloud-native engineering transformations.
  • Experience leading large Agile engineering organizations (200+ engineers preferred).
  • Strong experience in enterprise software modernization and DevSecOps at scale.
  • Strong understanding of Generative AI, Agentic AI, AI engineering platforms, and enterprise AI adoption.
  • Experience implementing GenAI solutions in enterprise environments.
  • Strong enterprise architecture, technical leadership, and organizational transformation skills.

Key Technical Skills
AI/Agentic AI: GenAI, LLMs, Agentic AI, RAG, Knowledge Graphs, LLMOps, AI Evaluation, AI Safety, MCP, Context Engineering.
Engineering: Python, Java, C#, TypeScript, Node.js, React, REST/GraphQL, Microservices, Kubernetes, Docker, GitHub, Azure DevOps, Terraform, CI/CD.
Cloud/Data: Azure, AWS, GCP, Databricks, Snowflake, PostgreSQL, Redis, Vector Databases, Neo4j.
AI Frameworks: LangGraph, CrewAI, AutoGen, Semantic Kernel, PydanticAI, LangChain, LlamaIndex, OpenAI/Anthropic SDKs, Azure AI Foundry.
Other Job Details:
  • Job Type: C2C or W2. (Open to market rate)
  • Duration: 6+ months with a high possibility of extension.
  • Location: REMOTE.
  • Interviews: Video interviews.
  • Docs required: ID proof will be required.