
Senior Data Engineer – AI
Posted Jun 21

Posted Jun 21
This is a fully remote position, open to applicants in United States.
• Design, develop, and manage production-grade AI agents.
• Lead the creation of scalable AI and data services.
• Act as the internal authority on Snowflake Cortex.
• Utilize contemporary agent architecture patterns to construct dependable and cost-effective AI systems.
• Collaborate with the Analytics & Insights team to design and uphold semantic layers.
• Create and sustain scalable data pipelines, transformations, and models utilizing Snowflake, dbt, and Airflow.
• Work across teams to convert vague business challenges into well-defined AI and data solutions.
• Set engineering standards for agentic systems.
• Over 5 years of experience in data engineering, AI/ML engineering, or related disciplines.
• Strong comprehension of modern agent development patterns including RAG, vector search, and prompt engineering.
• Extensive expertise in Snowflake, particularly in performance optimization and scalable data modeling techniques.
• Practical experience with dbt and Airflow.
• Proficient Python engineering skills.
• Solid experience working in AWS environments, including services such as S3, IAM, and Lambda.
• Hands-on experience utilizing AI-powered engineering tools, such as Claude Code.
• Enthusiasm for specializing in Snowflake Cortex and contributing to the definition of AI platform strategy.
• Flexible PTO.
• Sick Days.
• Paid National Holidays.
• Health Benefits: Contributions to medical, dental, vision, and short/long-term disability plans.
• Robust employee assistance program.
• 401(k) eligibility after the first 90 days of employment.
• Sponsorship of various events to support communities.
• Opportunities for growth to further enhance your career.
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