Senior Snowflake Software Developer

CAI•Trenton, NJ

1d•$70 - $80•Hybrid

About The Position

We are looking for a motivated Senior Snowflake Software Developer ready to take us to the next level! If you have expert-level skills in Snowflake Cloud Data Platform, SQL, and enterprise data engineering and are looking for your next career move, apply now. We are looking for a Senior Snowflake Software Developer to design, develop, and optimize Snowflake data solutions for enterprise-level applications. This position will be full-time, and hybrid. With employees expected to work onsite 3 days per week. Only work authorizations that will not require sponsorship now or in the future will be considered.

Requirements

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

Nice To Haves

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

Responsibilities

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 like tasks 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