Software Engineer, AI Data Hub & Secure Clean Rooms

Snowflake; Bellevue (WA); On-site; USD 160,000 - 230,000; Full time

Job summary

Snowflake is seeking a Software Engineer in Data Clean Rooms to design and build highly scalable infrastructure enabling secure, multi-party collaboration and AI-enabled capabilities.

You will partner with product and cross-functional teams to ship core features, mentor peers, and help advance privacy-preserving analytics for enterprise-scale datasets. The role offers a competitive compensation package and benefits, including salary and equity opportunities.

Qualifications

• 4+ years of industry experience designing, building, and supporting large-scale distributed systems in production.
• Expert-level development skills in Python, Java, or similar languages.
• Deep understanding of database systems, cloud data platforms, or distributed storage architectures.
• Experience with data privacy, privacy-preserving analytics, and deploying AI/ML solutions.
• BS/MS in Computer Science or related majors, or equivalent experience.

Responsibilities

• Architect and build highly scalable infrastructure that enables secure, multi-party collaboration.
• Design and implement core clean room features and services, intelligent agents, and robust developer APIs to expand platform capabilities and support custom AI/ML workflows.
• Partner closely with Product Management and cross-functional teams to drive complex projects from ideation and system design through to production deployment.
• Mentor peers and foster a warm, supportive culture of innovation, cross-team collaboration, and technical excellence.

Skills

Python

Java

Distributed systems

Data privacy

AI/ML workflows

CS fundamentals

Education

BS/MS in Computer Science or related

Job description

Snowflake is seeking a Software Engineer in Data Clean Rooms to design and build highly scalable infrastructure enabling secure, multi-party collaboration and AI-enabled capabilities.

You will partner with product and cross-functional teams to ship core features, mentor peers, and help advance privacy-preserving analytics for enterprise-scale datasets. The role offers a competitive compensation package and benefits, including salary and equity opportunities.