• Build and maintain production-grade ELT pipelines that ingest data from internal applications, third-party SaaS tools, and event streams into our BigQuery data warehouse. • Own specific data domains end-to-end — from raw ingestion through to marts — ensuring your areas of the warehouse are accurate, tested, and well-documented. • Write and maintain dbt models, tests, macros, and documentation within our established dbt project conventions and code review process. • Develop and manage Airflow DAGs on Cloud Composer or other similar tools to orchestrate data workflows, following patterns and standards set by the team. • Implement data quality checks and monitoring to catch anomalies before they reach downstream consumers. • Optimize BigQuery queries and models for cost and performance within your domain, escalating architectural tradeoffs to senior engineers when appropriate. • Collaborate with analysts and stakeholders to translate business data needs into well-scoped pipeline and modeling tasks. • Participate in on-call rotations, respond to pipeline incidents, and write clear postmortems. • Contribute to team documentation and runbooks so that your work is maintainable by others.