Senior Snowflake Data Engineer

Position: Senior Snowflake Data Engineer

Location: New York City (NYC)

Employment Type: W2

🔹 Job Overview

We are seeking an experienced Senior Snowflake Data Engineer to design and implement scalable data solutions. The ideal candidate will have strong expertise in Snowflake, cloud-based data platforms, and distributed data processing systems, along with the ability to work in a fast-paced enterprise environment.

🔹 Key Responsibilities

• Design, develop, and maintain scalable data pipelines and architectures
• Build and optimize Snowflake data models for high performance and scalability
• Implement ELT/ETL processes for efficient data transformation and integration
• Leverage Snowflake Cortex AI or similar AI-enabled capabilities
• Work with large-scale distributed data processing frameworks
• Collaborate with cross-functional teams to deliver end-to-end data solutions
• Ensure data quality, governance, security, and compliance standards
• Support integration with front-end applications where needed (React.js)
• Optimize data workflows for performance, reliability, and cost efficiency

🔹 Required Skills & Qualifications

• 2–7+ years of experience in data engineering or backend development roles
• Strong hands-on experience with Python, PySpark, and Snowflake
• Proven expertise in Snowflake data modeling, performance tuning, and optimization
• Advanced SQL skills with experience designing scalable data models
• Experience delivering end-to-end data engineering solutions in cloud environments
• Strong understanding of distributed data processing frameworks
• Hands-on experience with Amazon Web Services (AWS)
• Strong understanding of data security, governance, and compliance best practices
• Proven ability to collaborate effectively in cross-functional, enterprise-level teams

🔹 Preferred Skills

• Experience working in large-scale enterprise environments
• Exposure to CI/CD pipelines and DevOps practices

Familiarity with modern data architecture patterns