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Data Engineer

  • Data Engineer job type Posted on: Nov 12, 2026
  • Data Engineer experience level Lorven technologies
  • Data Engineer employment type New York City, New York
  • Data Engineer employment type Onsite
  • Data Engineer salary Full-time

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Job Title :

Data Engineer

Job Type :

Full-Time

Job Location :

New York City New York United States

Remote :

No

Jobcon Logo Job Description :

Job Title: Data Engineer

Location: New York City, NY

Experience: 7-15 Years

Employment Type: Full-Time Permanent

Required Skills: Data Engineer - Snowflake, ETL, SQL, Data Structures

  • Strong experience in Data Engineering with expertise in designing and building scalable data pipelines.
  • Hands-on experience with Snowflake, including data modeling, performance tuning, and data warehousing solutions.
  • Proficient in ETL development, data integration, and transformation processes across multiple data sources.
  • Advanced knowledge of SQL for complex query development, data analysis, and optimization.
  • Solid understanding of Data Structures and data processing concepts to support efficient data management.
  • Experience collaborating with cross-functional teams to deliver high-quality, reliable, and scalable data solutions.

Jobcon Logo Position Details

Posted:

Nov 12, 2026

Reference Number:

72691-10367

Employment:

Full-time

City:

New York City

Job Origin:

CIEPAL_ORGANIC_FEED

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Job Title: Data Engineer

Location: New York City, NY

Experience: 7-15 Years

Employment Type: Full-Time Permanent

Required Skills: Data Engineer - Snowflake, ETL, SQL, Data Structures

  • Strong experience in Data Engineering with expertise in designing and building scalable data pipelines.
  • Hands-on experience with Snowflake, including data modeling, performance tuning, and data warehousing solutions.
  • Proficient in ETL development, data integration, and transformation processes across multiple data sources.
  • Advanced knowledge of SQL for complex query development, data analysis, and optimization.
  • Solid understanding of Data Structures and data processing concepts to support efficient data management.
  • Experience collaborating with cross-functional teams to deliver high-quality, reliable, and scalable data solutions.

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