Senior Data Engineer

Job Summary

Optimizing and scaling foundational Snowflake architecture, the full-time Senior Data Engineer will drive agentic engineering and machine learning operations while implementing data observability frameworks in a remote setting.

Key responsibilities

• Architect and optimize Snowflake architecture for scalability and downstream commercialization
• Leverage automation tools to build semantic models and enhance workflow efficiency
• Establish and manage data quality and observability frameworks to ensure pipeline reliability

Required qualifications

• 5+ years of Data Engineering experience with a strong focus on Snowflake's advanced features
• Advanced proficiency in SQL and Python, applying software engineering best practices to ELT processes
• Hands-on experience with data observability and monitoring platforms like DataDog
• Familiarity with AI-assisted development tools and MLOps principles
• Experience building and maintaining resilient data pipelines using modern integration tools