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Lead Snowflake Data Engineer Contractor

Job in New York, New York County, New York, 10261, USA
Listing for: Omm IT Solutions
Contract position
Listed on 2026-06-21
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing, Data Science Manager
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Lead Snowflake Data Engineer (New York, Contractor)
Location: New York

Job Description

  • It is a 100% Onsite position in New York, NY
JOB DESCRIPTION
  • We are seeking a Lead Snowflake Data Engineer to design, own, and deliver end-to-end data engineering solutions in modern cloud environments.
  • This role focuses on building scalable, high-performance data pipelines using Snowflake and Cortex AI, with full lifecycle ownership—from ingestion and transformation to modelling, optimization, and consumption.
KEY RESPONSIBILITIES
  • Lead the design and development of end-to-end ELT pipelines using Snowflake
  • Architect scalable data models optimized for performance, cost, and analytics consumption
  • Build and maintain backend data services using Python and Py Spark
  • Leverage Snowflake Cortex AI to enable advanced analytics and intelligent data products
  • Drive performance tuning across pipelines, including query optimization, clustering, and warehouse scaling
  • Enforce best practices in data governance, security, and compliance
  • Collaborate across business, analytics, and engineering teams to deliver high-quality solutions
  • Provide technical leadership and mentorship to engineering teams
  • Communicate architecture decisions and trade-offs effectively in client-facing environments
Required Qualifications
  • 10+ years of experience, or equivalent ownership of production-grade data platforms
  • Deep expertise in:
    Snowflake (data modeling, performance tuning, optimization), Python and PySpark, Advanced SQL, Proven ability to design and deliver end-to-end data pipelines (ingestion transformation modeling consumption) in cloud environments (AWS preferred)
  • Ownership of at least one production-grade Snowflake pipeline end-to-end
  • Strong foundation in modern data warehousing:
    Dimensional modeling (star/snowflake schemas), ELT/ETL design patterns, Data marts and optimization strategies, Experience with distributed data processing and large-scale datasets, Hands on experience with Snowflake Cortex AI integration, Working knowledge of React.js or similar frameworks, Strong understanding of data governance, security, and compliance
  • Ability to:
    Clearly explain and defend architectural decisions, Design systems that perform reliably at scale, Balance performance, cost, and maintainability
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