Software Engineer – Data Clean Rooms

Snowflake
  • Warsaw
  • Post Date: October 6, 2024
    • 11982
  • Applications 0
  • Views 2
Job Overview

Build the future of data. Join the Snowflake team.

Build the future of data. Join the Snowflake team.

There is only one Data Cloud. Snowflake’s founders started from scratch and designed a data platform built for the cloud that is effective, affordable, and accessible to all data users. But it didn’t stop there. They engineered Snowflake to power the Data Cloud, where thousands of organizations unlock the value of their data with near-unlimited scale, concurrency, and performance. This is our vision: a world with endless insights to tackle the challenges and opportunities of today and reveal the possibilities of tomorrow.

The Data Clean Rooms team builds services, systems, and product features to enable secure multi-party collaboration on sensitive data while preserving its privacy. At Snowflake, we aim to provide customers with an integrated set of easy-to-use features that allow them to develop, deploy, and monitor data clean rooms at scale.

As a software engineer in Data Clean Rooms, you will

Participate in designing and implementing data privacy features and services to enable secure multi-party collaboration, including query constraints, data clean room construction, deployment, and monitoring at scale.Work closely with Product Managers to drive projects from idea formulation to design and implementation.

Our ideal software engineer will have:

2+ years of experience writing production-quality scalable code.Experience with transactional and analytical database systems.Fluency in Python and familiarity with at least one of the following: Java, TypeScript.Experience with software engineering best practices (programming, testing, version control, CI/CD, etc.)Excellent interpersonal communication skills.Great written and verbal English language skills.BS/MS in a technical field

Bonus points for experience with the following:

Experience in data privacy, privacy-preserving analytics, ML.Industry experience in building large-scale cloud applications.

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