Job Description
📋 Description Build and evolve data pipelines fetching KPI data from BigQuery across geographies. Extend the statistical estimation library; implement estimators and improve standard errors. Improve Metaflow-based orchestration that schedules thousands of daily analyses on Kubernetes. Design for reliability: monitoring, alerting, and self-healing patterns for daily pipelines. Collaborate with applied scientists to translate research into production-grade code with tests. Work with product engineers to publish analysis results to the customer API/frontend. 🎯 Requirements 3+ years of experience building and shipping production software. Strong Python proficiency with pandas, numpy, pytest, and poetry. Experience with large datasets, data pipelines, or ETL systems. SQL and analytical databases (BigQuery, Snowflake) with performant queries. Cloud-native environments (GCP preferred): deploy, monitor, and operate in production. Workflow orchestration (Metaflow, Airflow, Dagster, Prefect). Experience with AI development tools (Claude, Cursor, Copilot) in workflow. Ability to collaborate with scientists; comfortable reading statistical code. Excellent communication across disciplines. 🎁 Benefits Flexible PTO Equity – Startup environment with part-ownership in our successes Health, dental, and vision insurance WFH stipend Events & Offsites New Parent Leave
