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Prinicpal Software Engineer - Transformation Primitives

Snowflake · Engineering

Location
Bellevue, Washington, United States
Metro
Seattle
Workplace
On-site
Level
Staff+
Type
Full-time
Pay
$264K–$380K/yr (published by employer)
Posted
4 months ago
Source
Ashby

Read the full posting & apply ↗

JavaC++KafkaSparkAirflowdbtSnowflake

What the posting covers

About the company

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate…

Build Core Data Engineering Primitives at Cloud Scale

Data pipelines are foundational infrastructure — when they're fast, correct, and maintainable, customers build on them with confidence. If you've spent the bulk of your career building large-scale data infrastructure — designing streaming or transformation…

About the Team

We build the core data engineering primitives that power Snowflake's streaming and transformation capabilities. From the constructs customers use to define real-time pipelines to the execution fabric that makes those pipelines reliable and cost-efficient at…

What You'll Do

Define and drive the technical direction for Snowflake's core data engineering and streaming transformation primitives, spanning Streams, Tasks, Dynamic Tables, and adjacent pipeline constructs. Identify and lead multi-quarter technical investments —…

What We're Looking For

15+ years of experience designing, building, and operating large-scale distributed data systems. Deep expertise in at least one core area: stream processing, declarative query execution, pipeline orchestration, or data transformation at scale. Strong computer…

Nice to Have

Experience with a major analytical DBMS (Snowflake, BigQuery, Redshift, Databricks, Teradata). Hands-on background in streaming or event-driven systems (Flink, Kafka, Spark Structured Streaming). Familiarity with the broader data engineering ecosystem: dbt,…