Data Engineer

Responsibilities

• Design, build, and maintain scalable data pipelines across product and operational systems
• Build and operate customer-facing recommendation engines, including LLM-based logic
• Design transformation and integration pipelines for multi-source food data
• Partner with analytics and marketing teams to support self-serve tools
• Own data quality monitoring, alerting, and observability tooling
• Implement CI/CD discipline for pipelines, including automated tests and staged rollouts
• Define and maintain metrics and business logic for company-wide consistency

Requirements

• 5 years of experience operating data engineering systems in production
• Experience building production pipelines using Python and tools like dbt, Airflow, or Fivetran
• Strong SQL skills and experience with cloud data warehouses like Snowflake, BigQuery, or Redshift
• Experience with production recommendation systems or multi-source data pipelines
• Experience setting up CI/CD for data pipelines and measuring model outcomes

Preferred Qualifications

• Exposure to distributed systems concepts
• Hands-on experience with Infrastructure as Code (Terraform, Pulumi)
• Experience with BI/analytics tools like Hex, Mixpanel, or Tableau
• Familiarity with data contract or data mesh patterns
• Experience with event tracking or product analytics

About the Company

Mill is a waste prevention technology company reimagining what it means to eliminate waste, starting with food. We build smart systems and infrastructure that transform food scraps from landfill-bound waste into valuable resources.