{"schemaVersion":"jobsearcher.job.v1","id":"ff3b1064c6e241c350639f74","url":"https://jobsearcher.com/jobs/ff3b1064c6e241c350639f74","canonicalUrl":"https://jobsearcher.com/jobs/ff3b1064c6e241c350639f74","title":"Data Engineer - Data Platform","description":"Mill is a waste prevention technology company reimagining what it means to eliminate waste, starting with food. We build smart systems and infrastructure for homes, businesses, and municipalities that transform food scraps from landfill-bound waste into valuable resources, including chicken feed. Tens of thousands of Mill's residential food recyclers are already helping households divert millions of pounds of food scraps every year, paving the way for our upcoming launch of Mill Commercial—the industry's first end-to-end solution for managing, understanding, and preventing food waste in commercial environments (e.g. grocery, restaurants, food services). At Mill, we are passionate about building easy-to-use, beautifully designed technologies that keep food in the food system and out of landfills.\n\nThe Role\n\nAs 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. You'll partner closely with product, engineering, data analytics, and marketing teams.\n\nWhat You'll Do\nDesign, build, and maintain scalable data pipelines across Mill's product and operational systems\nManage and maintain data infrastructure that powers our product and operational systems, ensuring it's reliable and ready to feed external customers and downstream analytics\nCollaborate with software engineers to instrument new product features and ensure event data flows cleanly\nHelp build and maintain the self-serve analytics platform in Hex and Snowflake for internal business teams\nHelp maintain the metrics, table endorsements, and business logic that analysts and stakeholders rely on\nOwn data quality monitoring — build alerting, validation frameworks, and observability tooling so data issues get caught before they become business problems\nWhat We're Looking For\n3-5 years of experience operating data engineering systems in production\nHave 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)\nHave 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)\nExperience working with transactional databases (e.g., PostgreSQL, Amazon RDS) as a data source, including understanding how OLTP systems differ from warehouse/analytical workloads\nComfort working in a collaborative environment where data consumers are partners, not just stakeholders, and comfort moving between different types of work as priorities shift\nA bias toward action\nNice to Have\nExposure to recommendation, personalization, or LLM-based product logic — not required, but a strong plus given the team's direction\nExperience building or supporting self-serve analytics tooling (Hex, Looker, or similar)\nExposure to distributed systems concepts (partitioning, consistency, fault tolerance)\nExperience with Mixpanel, Tableau, or similar BI/analytics tools\nFamiliarity with data contract or data mesh patterns, or RBAC/access governance on a warehouse\nExperience with event tracking or product analytics\n\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.","company":"Mill","rawCompany":"mill","city":"San Bruno","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-22T10:55:04.258Z","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":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer - Data Platform","description":"Mill is a waste prevention technology company reimagining what it means to eliminate waste, starting with food. We build smart systems and infrastructure for homes, businesses, and municipalities that transform food scraps from landfill-bound waste into valuable resources, including chicken feed. Tens of thousands of Mill's residential food recyclers are already helping households divert millions of pounds of food scraps every year, paving the way for our upcoming launch of Mill Commercial—the industry's first end-to-end solution for managing, understanding, and preventing food waste in commercial environments (e.g. grocery, restaurants, food services). At Mill, we are passionate about building easy-to-use, beautifully designed technologies that keep food in the food system and out of landfills.\n\nThe Role\n\nAs 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. You'll partner closely with product, engineering, data analytics, and marketing teams.\n\nWhat You'll Do\nDesign, build, and maintain scalable data pipelines across Mill's product and operational systems\nManage and maintain data infrastructure that powers our product and operational systems, ensuring it's reliable and ready to feed external customers and downstream analytics\nCollaborate with software engineers to instrument new product features and ensure event data flows cleanly\nHelp build and maintain the self-serve analytics platform in Hex and Snowflake for internal business teams\nHelp maintain the metrics, table endorsements, and business logic that analysts and stakeholders rely on\nOwn data quality monitoring — build alerting, validation frameworks, and observability tooling so data issues get caught before they become business problems\nWhat We're Looking For\n3-5 years of experience operating data engineering systems in production\nHave 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)\nHave 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)\nExperience working with transactional databases (e.g., PostgreSQL, Amazon RDS) as a data source, including understanding how OLTP systems differ from warehouse/analytical workloads\nComfort working in a collaborative environment where data consumers are partners, not just stakeholders, and comfort moving between different types of work as priorities shift\nA bias toward action\nNice to Have\nExposure to recommendation, personalization, or LLM-based product logic — not required, but a strong plus given the team's direction\nExperience building or supporting self-serve analytics tooling (Hex, Looker, or similar)\nExposure to distributed systems concepts (partitioning, consistency, fault tolerance)\nExperience with Mixpanel, Tableau, or similar BI/analytics tools\nFamiliarity with data contract or data mesh patterns, or RBAC/access governance on a warehouse\nExperience with event tracking or product analytics\n\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.","datePosted":"2026-08-22T10:55:04.258Z","dateModified":"2026-08-22T10:55:04.258Z","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":"ff3b1064c6e241c350639f74"},"url":"https://jobsearcher.com/jobs/ff3b1064c6e241c350639f74"}}