Data Operations Engineer - Minneapolis, MN

Own the end-to-end lifecycle of partner data as it moves through ingestion, transformation, validation, and reconciliation, applying monitoring and SLA discipline. Use modern data tooling such as Snowflake, dbt, Airflow, and schema registries alongside AI-augmented workflows to speed debugging and improve data reliability. Partner with Product and Engineering to deliver integration-ready, contract-driven data exchange, while helping mentor teams and raise technical standards.