Senior Data Engineer

VySystems; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

VySystems in NYC is seeking an experienced Data Engineer to design and build scalable, reliable data pipelines and data solutions. This full-time role in NYC focuses on Snowflake-based data warehousing, data modeling, and ETL processes that integrate data from multiple sources.

The ideal candidate has 8–15 years of data engineering experience with advanced SQL skills, a solid understanding of data structures, and a collaborative mindset to work with cross-functional teams to deliver

Qualifications

• 8–15 years of data engineering experience.
• Hands-on Snowflake data modeling and warehousing.
• Advanced SQL for complex queries and optimization.
• ETL development and data integration across sources.
• Ability to collaborate with cross-functional teams.

Responsibilities

• Design and build scalable data pipelines.
• Develop data warehousing solutions with Snowflake.
• Support data modeling and performance tuning.
• Create ETL processes that integrate data from multiple sources.
• Collaborate with cross-functional teams to deliver reliable data solutions.

Skills

Snowflake

ETL development

Advanced SQL

Data structures

Cross-functional collaboration

Job description

We are seeking an experienced Data Engineer to design and build scalable, reliable data pipelines and data solutions. In this full-time role based in NYC, you will develop data warehousing solutions using Snowflake, support data modeling and performance tuning, and build ETL processes that integrate and transform data from multiple sources.

The ideal candidate has 8–15 years of data engineering experience and advanced SQL skills for developing, analyzing, and optimizing complex queries. You will apply a solid understanding of data structures and data processing concepts to support efficient data management. Working collaboratively with cross-functional teams, you will help deliver high-quality, scalable data solutions.

Required skills and experience:

• Hands-on Snowflake experience, including data modeling, performance tuning, and data warehousing
• Proficiency in ETL development, data integration, and transformation across multiple data sources
• Advanced SQL for complex query development, data analysis, and optimization
• Solid understanding of data structures and data processing concepts
• Ability to collaborate with cross-functional teams to deliver reliable data solutions