Data Engineer

Owning and evolving the systems that manage data across the internal warehouse, the full-time remote Data Engineer will ensure the reliability and scalability of ingestion and orchestration pipelines while collaborating with various teams to define metrics and maintain data quality. Key responsibilities Own the reliability, freshness, and scaling of ingestion and orchestration pipelines for Snowflake, including monitoring and alerting Design, build, and scale core dbt models for various reporting needs while diagnosing data quality issues at the source Manage Snowflake RBAC and PII classification to protect sensitive data and oversee the reverse-ETL processes delivering data to other tools Required qualifications 5+ years of experience building and operating production data platforms, including transformation layers Deep expertise with Snowflake, dbt, and orchestration tools like Prefect or Airflow Experience in data systems production, including monitoring, alerting, and incident response Strong SQL and Python skills with disciplined engineering practices Ability to translate ambiguous business questions into technical specifications while collaborating with cross-functional teams