The Mill (themill.com)

The Mill (themill.com)

Data Engineer

San Bruno, California

Sponsorship not specified$185k-$210kDetected 4 days ago
PythonDistributed SystemsSQLBigQuerySnowflakeRedshiftCloud PlatformsTerraformCI/CDAirflowdbtData AnalysisData EngineeringData VisualizationLLMsRAGTest Automation

About the role

  • As a Data Engineer at Mill, you'll touch systems end-to-end - from raw ingestion to the recommendation a customer sees in the app to managing the data warehouse.
  • You'll architect a warehouse model one week and tune recommendation logic the next.

Responsibilities

  • Build and operate the customer-facing recommendation engine that turns food waste data into actionable recommendations - purchasing suggestions, anomaly explanations, operational nudges - including LLM-based logic where useful
  • Co-create and drive Mill's self-serve analytics strategy with analysts and data scientists - defining golden datasets, setting SLAs for freshness and reliability, and establishing the governance model that keeps self-serve trustworthy at scale
  • Own data quality monitoring against those SLAs - build alerting, validation frameworks, and observability tooling so golden dataset issues get caught before they become business problems
  • Design, build, and maintain scalable data pipelines across Mill's product and operational systems
  • Define and maintain the metrics, table endorsements, and business logic that analysts and stakeholders rely on - so everyone across the company is working from the same numbers
  • Have designed, built, or operated a recommendation system in production - one that combines multiple data sources into a single customer-facing output - not just contributed data to someone else's model
  • Experience building recommendation or personalization logic using LLMs (prompt-based scoring, retrieval-augmented generation, agent-based reasoning) in a live product, not just a prototype

Requirements

  • Have brought CI/CD discipline to data pipelines or product logic (automated testing, staged rollout, rollback), with a track record of measuring whether a change actually improved outcomes, not just shipping it
  • 5 years of experience operating data engineering systems in production

Nice to have

  • Exposure to distributed systems concepts (partitioning, consistency, fault tolerance)
  • Hands-on experience with infrastructure as code (Terraform, Pulumi) in a cloud environment
  • Experience with Hex, Mixpanel, Tableau, or similar BI/analytics tools
  • Familiarity with data contract or data mesh patterns
  • Experience with event tracking or product analytics

Skills

  • Mill is a waste prevention technology company reimagining what it means to eliminate waste, starting with food.

Compensation

  • The estimated base salary range for this position is $185k to $210k, which does not include the value of benefits or a potential equity grant.

Company info

  • What We're Looking For
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