Snowflake Data Engineer

Responsibilities

• Design, build, test, deploy, and maintain scalable data pipelines, transformations, and data models on Snowflake.
• Develop and productionize AI and machine learning solutions using Snowflake Cortex AI, including AI agents, retrieval and search experiences, and external-facing applications.
• Create, validate, version, and maintain semantic views and related business logic to support accurate, governed AI and analytics experiences.
• Build and support ingestion patterns using Snowflake Openflow, Kafka, Snowpipe, APIs, and third-party connectors, including integrations with enterprise applications such as NetSuite.
• Develop reusable engineering components and automation using advanced SQL, SnowSQL or Snowflake CLI, Python, and, where appropriate, JavaScript.
• Implement data quality checks, automated testing, observability, error handling, and deployment controls to ensure reliable production data and AI workloads.
• Optimize data models, queries, pipelines, and AI workloads for performance, maintainability, scalability, and efficient consumption.
• Design and implement secure Snowflake data sharing and data-product patterns for internal teams, partners, and customers.
• Establish software engineering practices for Snowflake development, including source control, CI/CD, environment promotion, documentation, and release management.
• Troubleshoot pipeline, application, semantic-layer, and data-quality issues and drive them through resolution.

Languages