# Data Engineer - Data Platform at Mill

- Company: Mill
- What the company does: Mill is the smartest device in your kitchen. Mill turns would-be food waste into resources for the Earth. Keep filling it for weeks. Backed by GV.
- Company website: https://www.mill.com
- Type: Startups
- Level: Mid level
- Location: San Bruno, California
- Work setup: On-site
- Pay: $185K to $210K base salary per year (USD)
- Posted: 2026-08-19
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/mill/jobs/4722052005
- Page: https://www.1752.vc/careers/jobs/mill-data-engineer-data-platform/

## About the role

As a Data Engineer at Mill, you'll build and maintain the core data infrastructure that powers analytics and product data across the company — ingestion pipelines, warehouse modeling, data quality, and the self-serve analytics platform (Hex + Snowflake) our business teams rely on. You'll work closely with the Senior Data Engineer owning our recommendations platform, contributing to and supporting that work as needed, with the opportunity to grow into deeper recommendation/LLM-based work over time.

## What they're looking for

- 3-5 years of experience operating data engineering systems in production
- Have built and operated data pipelines in production using Python, SQL, and tools like dbt, Airflow, Fivetran, or similar against a cloud data warehouse (e.g., Snowflake)
- Have used Infrastructure as Code (e.g., Terraform, Pulumi) to provision and manage data infrastructure, with CI/CD discipline for pipeline and infra changes (automated testing, staged rollout, rollback)
- Experience working with transactional databases (e.g., PostgreSQL, Amazon RDS) as a data source, including understanding how OLTP systems differ from warehouse/analytical workloads
- Comfort working in a collaborative environment where data consumers are partners, not just stakeholders, and comfort moving between different types of work as priorities shift
- A bias toward action

Tags: Software