Mill
Data Engineer - Data Platform
$185K–$210K
San Bruno, California +1 · Full-time · Posted Aug 19, 2026
- Location
- San Bruno, California
San Bruno, California, United States - Experience
- 3-5 years operating data engineering systems in production
About the job
Build and maintain Mill’s data infrastructure, pipelines, warehouse models, data quality systems, and self-serve analytics platform for product and business teams.
What you'll do
- Build and maintain scalable pipelines and data infrastructure for product and operational systems.
- Support product instrumentation and maintain the self-serve analytics platform, metrics, and business logic.
- Own data quality monitoring, including alerting, validation, and observability tooling.
What they ask for
- Production experience building and operating data pipelines using Python, SQL, and tools such as dbt, Airflow, or Fivetran against a cloud data warehouse.
- Experience with Infrastructure as Code and CI/CD practices for pipeline and infrastructure changes.
- Experience using transactional databases as data sources and understanding OLTP versus analytical workloads.
- Collaborative approach, adaptability as priorities shift, and a bias toward action.
Nice to have
- Exposure to recommendation, personalization, or LLM-based product logic.
- Experience with self-serve analytics tooling, distributed systems, BI/analytics tools, data contracts, governance, or event tracking.
Pay
$185k to $210k USD base salary
Tools
Python, SQL, dbt, Airflow, Fivetran, Snowflake, Terraform, Pulumi
AI focus
May contribute to recommendation and LLM-based product work, with the opportunity to grow into deeper work in these areas.
Model-written summary · the original posting is authoritative