AI Data Engineer

Hybrid in NYC, NY, US • Posted 9 hours ago • Updated 9 hours ago
Contract W2
Able to Sponsor
Hybrid
$180,000 - $200,000/yr
Fitment

Dice Job Match Score™

⏳ Almost there, hang tight...

Job Details

Skills

  • Amazon Web Services
  • Analytics
  • Application Development
  • Artificial Intelligence
  • Business Intelligence
  • Cloud Computing
  • Dashboard
  • Data Analysis
  • Data Architecture
  • Data Engineering
  • Data Integration
  • Data Processing
  • Data Warehouse
  • Database
  • Docker
  • ELT
  • Extract
  • Transform
  • Load
  • Google Cloud
  • Google Cloud Platform
  • Immigration

Summary

Job Title: AI Data Engineer

Location: Hybrid

Duration: 10 Months (High Possibility of Extension)

Bill Rate: $87/hr

Job Type: W-2 Contract

Client: To Be Discussed Later

Work Authorization:

USC

GC

H1B

OPT-EAD

Required Qualifications

  • Strong experience in Python application development.
  • Strong background in data engineering, data analytics, BI, or data application development.
  • Experience with cloud platforms and Kubernetes-based application/pipeline deployment.
  • Strong hands-on experience building production-grade data pipelines.
  • Strong understanding of data architecture, data processing, ETL/ELT, and data integration.
  • Experience working with databases, data warehouses, and/or modern data platforms.
  • Experience building data-facing applications or applications that interact directly with data and analytics platforms.
  • Hands-on experience developing LLM-powered applications.
  • Understanding of AI agent/harness engineering patterns and LLM application architecture.
  • Experience working with APIs, databases, data platforms, and enterprise data sources.
  • Cloud development experience with Kubernetes-based deployment.
  • Experience with agentic AI, LLM orchestration, RAG, or tool-using agents.
  • Experience with frameworks such as LangChain, LangGraph, LlamaIndex, or similar technologies.
  • Experience with vector databases and retrieval pipelines.
  • Experience integrating LLMs with enterprise data platforms.
  • Experience building dashboards, analytics applications, self-service data applications, or other data-centric user experiences.
  • Experience with AWS, Azure, or Google Cloud Platform.
  • Experience with Docker and Kubernetes.

    Equal opportunity Employer :We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91099737
  • Position Id: 9051724
  • Posted 9 hours ago
Contact the job poster
BS

Bhavya Sharma

Recruiter @ QUANTUM TECHNOLOGIES LLC
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