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Data Engineer-ONly W2-NY,NJ

cloudingest incNew York, NY🇺🇸United StatesPosted Oct 12, 2026

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
New York, NY, United States
Posted
Yesterday
SQLScalaAirflowAzureGitPython

Job Description

Role: Data Engineer (AI & Data Pod)
Location: NY (Hybrid 3 days a week in the office)
Experience: 8-12 years
Role Summary: Builds and maintains reliable data pipelines and platforms on-site, working with the Data Architect and AI team to deliver high-quality data for analytics and AI solutions.
Key Responsibilities
  • Design, build, and optimize batch and streaming data pipelines
  • Implement data models and transformations defined by the Data Architect
  • Ingest and integrate data from multiple source systems and APIs
  • Implement data quality checks, monitoring and alerting
  • Optimize performance and cost of data workloads
  • Collaborate with AI Developers and analysts to provision datasets
  • Maintain documentation, version control and CI/CD for data code
  • Work with offshore data engineers on knowledge transfer and delivery
Required Qualifications
  • 5+ years in data engineering
  • Strong SQL and Python (or Scala) skills
  • Experience with orchestration tools such as Airflow or Azure Data Factory
  • Hands-on experience with cloud data services and big data frameworks such as Spark
  • Understanding of data warehousing and lakehouse concepts
  • Familiarity with Git, CI/CD, and infrastructure-as-code
  • Experience supporting ML/AI data needs is a plus
Key Skills
SQL | Python | Spark | Airflow / ADF | Cloud data services | CI/CD

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