Senior Data Engineer - Product

    Snowflake

    US RemoteFull-timeSenior
    Data Engineering
    Read the full posting and apply on jobs.ashbyhq.com

    The recap below is dataskew's editorial summary. The authoritative job spec lives on the company's own posting.

    Tech stack

    SnowflakePythonSparkSQLAWSGit

    Snowflake is hiring a Senior Data Engineer for its Product and Data Science team, a remote role based out of Menlo Park, California. Snowflake is the cloud data platform company, and this position sits inside the team that builds the data foundations behind its own product analytics.

    You will design and maintain scalable pipelines on Snowflake, own cost optimization for the team's data operations, and build Streamlit apps and dashboards on top of the warehouse. The work spans data modeling, performance tuning, and data quality, with Python and Spark for processing and SQL for analysis. Cloud experience on AWS, Azure, or GCP is expected, alongside Git based deployment workflows.

    What is interesting here is that you are doing data engineering for the company that builds the warehouse, so cost optimization and modeling decisions feed back into how Snowflake itself runs at scale.