Data Engineer

AS A DATA ENGINEER AT SNOWFLAKE, YOU WILL

• Build and maintain production data pipelines and models on Snowflake, from ingestion through transformation and consumption

• Develop dbt models with tests and documentation that follow team standards and governance practices

• Build and support Apache Airflow DAGs that orchestrate Snowflake workloads reliably

• Ingest data from enterprise sources using Snowpipe, Snowpark, and dynamic tables

• Apply data quality checks and help monitor Snowflake warehouse cost and performance

• Act as an internal customer zero, sharing feedback on Snowflake features with Product teams

• Take part in Agile ceremonies including stand ups, sprint planning, reviews, and retrospectives

• Partner with stakeholders and senior engineers to turn well-defined requirements into scoped technical tasks

BONUS POINTS FOR THE FOLLOWING

• Exposure to Snowflake Cortex AI functions or other LLM APIs for data enrichment

• Experience preparing data for ML model training or feature engineering

• Familiarity with streaming ingestion such as Kafka or Snowpipe Streaming

• Experience with AWS, Azure, or GCP, including infrastructure-as-code

• Awareness of data contracts or schema registry tooling

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com