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.
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
What Youll Need
Required:
Bachelors or Masters 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:
Snowflake certifications (such as SnowPro Core or Advanced).
Agile Scrum team collaboration experience.
Physical Demands
Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal state and local standards.
Ability to conduct repetitive tasks on a computer utilizing a mouse keyboard and monitor.
Must be able to communicate with customers/team members over the phone and in person.
Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings etc.
Required Skills:
data warehousing data modeling and enterprise data engineeringSnowflakeSnowparkSnowflake cost managementinfrastructure optimizationperformance tuningRBACCI/CDAgile Scrum
Senior Snowflake Developer Location: Trenton NJ (Hybrid) Position Type: ContractJob Description 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 employ...
Senior Snowflake Developer
Location: Trenton NJ (Hybrid)
Position Type: Contract
Job Description
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.
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
What Youll Need
Required:
Bachelors or Masters 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:
Snowflake certifications (such as SnowPro Core or Advanced).
Agile Scrum team collaboration experience.
Physical Demands
Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal state and local standards.
Ability to conduct repetitive tasks on a computer utilizing a mouse keyboard and monitor.
Must be able to communicate with customers/team members over the phone and in person.
Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings etc.
Required Skills:
data warehousing data modeling and enterprise data engineeringSnowflakeSnowparkSnowflake cost managementinfrastructure optimizationperformance tuningRBACCI/CDAgile Scrum