Senior Snowflake Developer

Location: Trenton, NJ Position Type: Hybrid Hybrid Schedule: Onsite 3 days per week Contract Length: 3 months + extensionsPosition Overview: We are seeking a Senior Snowflake Developer to design, build, and optimize scalable Snowflake-based data solutions supporting enterprise analytics and business operations. This role will focus on developing high-performance ELT pipelines, data transformation frameworks, and automation processes using Snowflake, dbt, Python, and Snowpark. The ideal candidate will bring strong expertise in data engineering, performance tuning, security governance, and CI/CD best practices while collaborating closely with cross-functional teams in an Agile environment.

Duties:

• Design and maintain Snowflake data schemas, models, and data lake architectures
• Develop efficient, automated ELT pipelines to ingest data from diverse enterprise sources into Snowflake
• Build data transformation pipelines utilizing dbt (Data Build Tool) and native Snowflake features liketasks and streams
• Write custom data engineering scripts, automation pipelines, and UDFs using Python and Snowpark
• Optimize query performance and virtual warehouse sizing using query profiles and automatic clustering
• Monitor, audit, and optimize Snowflake credit consumption and warehouse spending
• Write complex SQL queries, analytical functions, and advanced stored procedures
• Implement robust security and data governance measures, including RBAC, masking policies, and encryption
• Establish automated data quality validation frameworks, monitoring alerts, and observability dashboards
• Manage database infrastructure and dbt models as code within version control systems (Git) using automated CI/CD deployment pipelines
• Implement disaster recovery strategies utilizing Snowflake Replication, Failover Groups, and Time Travel
• Collaborate with cross-functional data, science, and analytics teams in an Agile/Scrum environment

Required Skills:

• Bachelor’s or Master’s degree in computer science, data engineering, or a related field.
• 7+ years of experience in data warehousing, data modeling, and enterprise data engineering.
• 3+ years of direct, hands-on production engineering experience inside Snowflake.
• Strong proficiency in Python development tailored for data engineering, including hands-on Snowpark experience.
• Proven production experience using modern transformation tools, specifically dbt (Data Build Tool).
• Solid experience with Snowflake cost management, infrastructure optimization, and performance tuning.
• Deep understanding of enterprise data security, role-based access control (RBAC), and governance compliance.
• Experience managing infrastructure as code via Git and automated CI/CD deployment pipelines.
• Excellent problem-solving, communication, and Agile collaboration skills.

Preferred Skills:

• Snowflake certifications (such as SnowPro Core or Advanced).
• Agile Scrum team collaboration experience