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Remote Databricks Jobs in New York (NOW HIRING)

DoiT

Senior Technical Content Writer

New York, NY · Remote

This remote role is ideally based in the United States, with overlap with US business hours (ET-PT ... Research, outline, draft, and revise comprehensive guides on Databricks and Snowflake cost ...

Cloudacio

Data Engineer (Contract) (Remote)

Manhattan, NY · Remote

$126K - $151K/yr

Embracing a remote and flexible work philosophy, we offer our team the freedom to collaborate and ... Azure: Databricks, Data Factory, Azure SQL Database, Blob Storage, Event Hubs * GCP: BigQuery ...

iShare, Inc.

Metadata Developer

Manhattan, NY · On-site +1

$115K/yr

... • Databricks Unity Catalog • SQL • Data Architecture • Insurance Data Domains (P&C) This is a remote position. Compensation: $115,000.00 per year About In the perfect storm of technology ...

Archgroup

Manager, Data Engineer (Remote)

Jersey City, NJ · Remote

$100K - $174K/yr

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks within the Azure ecosystem-to produce reliable, analytics-ready data assets that support both ...

Archgroup

Manager, Data Engineer (Remote)

Jersey City, NJ · Remote

$100K - $174K/yr

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks within the Azure ecosystem-to produce reliable, analytics-ready data assets that support both ...

Archgroup

Manager, Data Engineer (Remote)

New York, NY · Remote

$100K - $174K/yr

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks within the Azure ecosystem-to produce reliable, analytics-ready data assets that support both ...

Archgroup

Manager, Data Engineer (Remote)

New York, NY · Remote

$100K - $174K/yr

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks within the Azure ecosystem-to produce reliable, analytics-ready data assets that support both ...

Covera Health

Senior Provider Network Analyst

New York, NY · Remote

$96K - $127K/yr

... using Databricks, Python and SQL. * Conduct access and network adequacy analysis to evaluate ... We are a remote-first company with employees located across the U.S., and this role is fully remote ...

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All JobsDatabricks JobsRemote Databricks JobsRemote Databricks Jobs in New York

Remote Databricks information

What is a remote Databricks engineer?

Remote Databricks jobs are positions that involve working with the Databricks data analytics platform from a location outside of a traditional office, typically from home or another remote setting. These roles often focus on developing data pipelines, analyzing big data, building machine learning models, or managing cloud infrastructure using Databricks. Employees use collaboration tools and cloud-based environments to connect with their teams and access the Databricks platform securely. Remote Databricks jobs may be available for data engineers, data scientists, machine learning engineers, and DevOps professionals. The flexibility of remote work allows professionals to collaborate with global teams while leveraging Databricks’ powerful data processing and analytics capabilities.

How does a remote Databricks engineer typically collaborate with cross-functional teams?

As a remote Databricks engineer, you will frequently work with data scientists, analysts, and other engineers through virtual collaboration tools such as Slack, Jira, and Zoom. Regular stand-up meetings, code reviews, and shared documentation platforms help maintain alignment across distributed teams. You'll often contribute to shared Databricks notebooks and participate in sprint planning to ensure data pipelines and analytics workflows meet business requirements. Effective communication and proactive documentation are key to successful remote collaboration in this role.

What are the key skills and qualifications needed to thrive as a remote Databricks engineer?

To thrive as a Remote Databricks Engineer, you need a strong background in data engineering, cloud computing (especially Azure or AWS), and proficiency in languages like Python or Scala, often supported by a degree in computer science or a related field. Familiarity with Databricks platform tools, Spark, SQL, and relevant certifications such as Databricks Certified Data Engineer Associate are typically required. Strong problem-solving, communication, and self-motivation skills help you excel in remote and collaborative data-driven environments. These skills are essential for efficiently designing scalable data solutions and collaborating virtually to drive business value.

What are the most commonly searched types of Databricks jobs in New York?

The most popular types of Databricks jobs in New York are:

What are popular job titles related to Remote Databricks jobs in New York?

For Remote Databricks jobs in New York, the most frequently searched job titles are:

What job categories do people searching Remote Databricks jobs in New York look for?

The top searched job categories for Remote Databricks jobs in New York are:

What cities in New York are hiring for Remote Databricks jobs?

Cities in New York with the most Remote Databricks job openings:

Remote Databricks jobs near you
Infographic showing various Remote Databricks job openings in New York as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.

Agentic AI Engineering Architect (Remote -US)

OMG Technologies

Jersey City, NJ • Remote

Contractor

Posted 7 days ago

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 REMOTErole.

Position Overview

Lead the transformation of the software engineering organization into anAI-augmented, agentic engineering model. You will architect an enterprise framework that uses AI agents across theProduct Development Life Cycle (PDLC) from requirements and architecture through development, testing, DevSecOps, release, and operations.

Key Responsibilities

  • Define theAI-native SDLC / Agentic PDLC architecture and roadmap.
  • Architect multi-agent workflows for requirements, architecture, development, testing, security, DevOps, compliance, and release management.
  • Design the enterpriseAI Engineering Platform/Harness, including LLM gateway, RAG, vector databases, knowledge graphs, MCP, agent registry, orchestration, memory, observability, and evaluation.
  • DriveAI-enabled software engineering transformation, including AI coding, code review, automated testing, documentation, refactoring, and DevSecOps.
  • Define enterprise architectures acrosscloud, microservices, APIs, data, event-driven systems, and AI infrastructure.
  • EstablishAI governance, security, Responsible AI, validation, and regulatory compliancepractices.
  • Lead enterprise AI adoption, engineering enablement, training, and change management.
  • Evaluate and select AI platforms and frameworks such asOpenAI, 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+ yearsof enterprise software engineering experience.
  • 8+ yearsleading enterprise architecture initiatives.
  • 5+ yearsleading cloud-native engineering transformations.
  • Experience leading large Agile engineering organizations (200+ engineers preferred).
  • Strong experience inenterprise software modernization and DevSecOps at scale.
  • Strong understanding ofGenerative AI, Agentic AI, AI engineering platforms, and enterprise AI adoption.
  • Experience implementingGenAI solutions in enterprise environments.
  • Strongenterprise 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.

Apply