• Design and build data integration apps for Snowflake from various data sources.
  • Enhance the connector platform SDK for streamlined and faster development.
  • Optimize data ingestion and secure data transfers.
  • Lead and mentor a group of engineers in the team, create designs, and present solutions to stakeholders and architects.
  • Coordinate communication for goal alignment and work with PMs to translate business requirements.
  • Troubleshoot issues and support customers.
  • Collaborate with worldwide teams across the organization and roles.

WHY JOIN THE ENGINEERING TEAM AT SNOWFLAKE?

Join our engineering team to build a top-notch cloud data platform. You'll work on a secure, scalable SaaS platform that handles millions of queries daily. Get hands-on experience with large-scale data processing and user interface design. Be part of a world-class team driving innovation. We're a fast-growing company looking for innovative minds. How will you make your impact?

  • 5+ years in large-scale, maintainable, and scalable system design and support.
  • Know-how in database import/export characteristics. Proficient in SQL and databases.
  • Skilled in Java or TypeScript.
  • Strong ability to analyze and debug software issues.
  • Excellent communication abilities.
Snowflake

Snowflake

Warsaw
+3000

Snowflake delivers the Data Cloud—a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the Data Cloud.