Design and implement complex data models for dashboards and self-serve analytics.
Write highly tuned SQL queries over large, heterogeneous data warehouses.
Enable AI tooling with semantic layers and observability.
Manage and improve data infrastructure for data-driven decisions.
Help develop front-end applications to expose analytics enterprise-wide.
Collaborate with Product and Engineering to structure source systems for reporting.

🎯 Requirements

Four+ years in data; two+ years in software engineering.
Experience with dbt is a must.
Experience with Stitch/Fivetran, Snowflake/BigQuery/Redshift.
Experience with Airflow or Dagster.
Knowledge of dimensional and fact models.
Authorized to work in the U.S. without sponsorship.

🎁 Benefits

Industry-competitive salary and equity.
Comprehensive medical, dental, and vision coverage.
16 weeks paid parental leave.
Health & wellness stipend.
Remote workspace, internet, and cellphone stipend.
11 company-paid holidays.

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