Data Engineer III

Our team members are the key to our company’s success, and their health and well-being, as well as that of their families, is very important to us. We offer a comprehensive benefits package that allows our team members stay healthy, plan for their future and maintain a healthy work-life balance. Benefits may vary with employment status. To see our fill list of Team Member Benefits please visit our career site:

Job Description:

We are seeking a highly skilled Senior Snowflake Data Engineer to design, develop, and optimize enterprise data solutions that support analytics, reporting, and business intelligence initiatives across the organization. This role will be responsible for building scalable data pipelines, implementing Snowflake best practices, and ensuring the reliability, performance, and security of critical data assets.

The ideal candidate is a hands-on data engineering professional with deep expertise in Snowflake, cloud-based data platforms, and modern ELT/ETL architectures. This individual will collaborate closely with business stakeholders, data analysts, data scientists, and application development teams to deliver scalable and high-performing data solutions that enable data-driven decision-making.

Required Experience

• 7+ years of professional experience in Data Engineering, Data Warehousing, or related disciplines
• 5+ years of hands-on experience with Snowflake in enterprise environments
• Proven expertise designing, developing, and supporting large-scale data platforms and modern analytics architectures
• Experience working in cloud-based environments and supporting mission-critical business systems

Key ResponsibilitiesData Engineering & Pipeline Development

• Design, develop, and maintain scalable, high-performance data pipelines and ELT/ETL processes utilizing Snowflake and modern data engineering frameworks.
• Build and support enterprise Data Lakes and Data Warehouses.
• Develop robust data integration solutions that ensure data quality, consistency, and reliability.
• Optimize data movement, transformations, and processing workflows across multiple systems and platforms.
• Implement automated and reusable data engineering patterns to improve efficiency and maintainability.

Snowflake Platform Engineering

• Architect, develop, and maintain Snowflake-based data solutions.
• Design and optimize Snowflake data models to support analytics, reporting, and operational workloads.
• Configure and manage Snowflake Tasks, Streams, Virtual Warehouses, RBAC, and data-sharing capabilities.
• Monitor and optimize Snowflake performance, storage utilization, and query efficiency.
• Implement cost optimization strategies to maximize platform value while maintaining performance standards.