Description
Symphonic is hiring a mid-level Data Reliability and Quality Engineer to protect the accuracy, reliability, and integrity of its data ecosystem. The role covers end-to-end testing of data pipelines and dbt models, complex SQL validation, dbt and Snowflake monitoring, automated data-health testing, bug triage in Azure DevOps, data acceptance criteria, and dashboard spot checks. Candidates need advanced SQL, data modeling, dbt, Snowflake, AWS S3, and data ingestion experience, with 2 years of data engineering experience required and 5 years preferred. The position is full-time, based in Colombia, and reports to the Data Quality Lead.
