AI Data Engineer

📋 Description Design, build, and own data pipelines from app sources to relational databases. Collaborate with analytics engineering to model data and power reporting. Own data quality across ingestion, modeling, and reporting. Build production AI systems on top of data infra for ML features. Design evaluation systems with eval harnesses and production monitoring. Set standards for data work and share context to accelerate teammates. 🎯 Requirements 5+ years in data engineering with ML in production. Built and owned pipelines moving data from apps into a warehouse. Strong Python skills; Snowflake and Postgres experience. Experience with orchestration tools like Airflow or Dagster. Experience with cloud platforms such as GCP or AWS. Collaborated with analytics engineers to build reliable data models. 🎁 Benefits Competitive compensation with bonus and equity. Comprehensive benefits: PTO, holidays, parental leave, 401k match. Education stipend and remote work stipend. Open and transparent culture with clear communication.