{"schemaVersion":"jobsearcher.job.v1","id":"fbc07304474ef747727f413a","url":"https://jobsearcher.com/jobs/fbc07304474ef747727f413a","canonicalUrl":"https://jobsearcher.com/jobs/fbc07304474ef747727f413a","title":"Data Engineer, Analytics","description":"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. You\\'ll partner closely with product, engineering, data analytics, and marketing teams.\r\nWhat You\\'ll Do Design, build, and maintain scalable data pipelines across Mill\\'s product and operational systems\r\nBuild and operate the customer-facing recommendation engine — including LLM-based logic where useful — that turns characterized food waste data into actionable recommendations: purchasing suggestions, anomaly explanations, operational nudges\r\nDesign transformation and integration pipelines for food data coming from multiple sources — including agent-based reconciliation where it helps — handling schema changes, validation, and consistency issues\r\nPartner with data analytics and marketing teams to support self-serve analytics tools\r\nOwn data quality monitoring — build alerting, validation frameworks, and observability tooling\r\nBring CI/CD discipline to pipeline — automated tests, staged rollouts, and rollback paths — and track recommendation accuracy over time so we know whether a change actually helped\r\nDefine 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\r\nWhat We\\'re Looking For 5 years of experience operating data engineering systems in production\r\nHave built and operated data pipelines in production using Python and tools like dbt, Airflow, Fivetran, or similar — including handling failures, backfills, and schema changes after launch\r\nStrong SQL skills and experience with a cloud data warehouse (e.g., Snowflake, BigQuery, Redshift)\r\nExperience with recommendation systems or pipelines that combine multiple data sources into a single product-facing output, in production — including recommendation logic built with LLMs\r\nHave set up CI/CD for data pipelines or product logic (automated testing, staged rollout, rollback), and have measured whether a change to a recommendation or model actually improved outcomes, not just shipped it\r\nA bias toward clarity and action\r\nComfort working in a collaborative environment where data consumers are partners, not just stakeholders\r\nNice to Have Exposure to distributed systems concepts (partitioning, consistency, fault tolerance)\r\nHands-on experience with infrastructure as code (Terraform, Pulumi) in a cloud environment\r\nExperience with Hex, Mixpanel, Tableau, or similar BI/analytics tools\r\nFamiliarity with data contract or data mesh patterns\r\nExperience with event tracking or product analytics\r\nThe estimated base salary range for this position is $185k to $210k, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs.\r\nJ-18808-Ljbffr","company":"Mill","rawCompany":"mill","city":"San Bruno","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-08T01:34:21.086Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer, Analytics","description":"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. You\\'ll partner closely with product, engineering, data analytics, and marketing teams.\r\nWhat You\\'ll Do Design, build, and maintain scalable data pipelines across Mill\\'s product and operational systems\r\nBuild and operate the customer-facing recommendation engine — including LLM-based logic where useful — that turns characterized food waste data into actionable recommendations: purchasing suggestions, anomaly explanations, operational nudges\r\nDesign transformation and integration pipelines for food data coming from multiple sources — including agent-based reconciliation where it helps — handling schema changes, validation, and consistency issues\r\nPartner with data analytics and marketing teams to support self-serve analytics tools\r\nOwn data quality monitoring — build alerting, validation frameworks, and observability tooling\r\nBring CI/CD discipline to pipeline — automated tests, staged rollouts, and rollback paths — and track recommendation accuracy over time so we know whether a change actually helped\r\nDefine 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\r\nWhat We\\'re Looking For 5 years of experience operating data engineering systems in production\r\nHave built and operated data pipelines in production using Python and tools like dbt, Airflow, Fivetran, or similar — including handling failures, backfills, and schema changes after launch\r\nStrong SQL skills and experience with a cloud data warehouse (e.g., Snowflake, BigQuery, Redshift)\r\nExperience with recommendation systems or pipelines that combine multiple data sources into a single product-facing output, in production — including recommendation logic built with LLMs\r\nHave set up CI/CD for data pipelines or product logic (automated testing, staged rollout, rollback), and have measured whether a change to a recommendation or model actually improved outcomes, not just shipped it\r\nA bias toward clarity and action\r\nComfort working in a collaborative environment where data consumers are partners, not just stakeholders\r\nNice to Have Exposure to distributed systems concepts (partitioning, consistency, fault tolerance)\r\nHands-on experience with infrastructure as code (Terraform, Pulumi) in a cloud environment\r\nExperience with Hex, Mixpanel, Tableau, or similar BI/analytics tools\r\nFamiliarity with data contract or data mesh patterns\r\nExperience with event tracking or product analytics\r\nThe estimated base salary range for this position is $185k to $210k, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs.\r\nJ-18808-Ljbffr","datePosted":"2026-08-08T01:34:21.086Z","dateModified":"2026-08-08T01:34:21.086Z","hiringOrganization":{"@type":"Organization","name":"Mill","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Bruno","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"fbc07304474ef747727f413a"},"url":"https://jobsearcher.com/jobs/fbc07304474ef747727f413a"}}