Staff Data Engineer

MotorK sits at the intersection of deep vertical complexity - automotive SaaS, 10,000+ dealerships, enterprise-grade requirements - and a company that has gone all-in on AI as its primary engine of scale. We believe vertical SaaS captures the most value from AI, and none of that value is reachable unless the data underneath it is modeled, governed and engineered right.

The Staff Data Engineer owns the architecture, engineering practice and delivery of MotorK's data platform. This is a hands-on, build-and-lead role: you will design and build the data models, pipelines and warehouse architecture yourself, while setting technical direction and raising the bar for a small team of two data engineers. You inherit a real platform and a real team, and you are expected to raise the ceiling on both.

Requirements

•      Deep, hands-on expertise in data modeling and data architecture.

•      Strong production experience with a cloud data warehouse: BigQuery, Redshift, Snowflake or equivalent.

•      Top-tier, hands-on experience with dbt, Airflow and Airbyte in real production environments.

•      Strong Python skills applied to data engineering pipelines and tooling.

•      Familiarity with modern data engineering concepts, with a genuine interest in where the field - including agentic AI - is heading.<