{"schemaVersion":"jobsearcher.job.v1","id":"70adacf02616c5e40820b177","url":"https://jobsearcher.com/jobs/70adacf02616c5e40820b177","canonicalUrl":"https://jobsearcher.com/jobs/70adacf02616c5e40820b177","title":"Data Engineer","description":"Overview\nIn this role you will own Hadrian’s semantic and metric layer, enabling a single definition of metrics across factories and dashboards. You’ll build scalable data marts and certified datasets to power analytics and AI applications at company scale. You’ll define standards for metrics, data models, and governance while collaborating with data platform, analytics, and business teams. This is a chance to shape operational intelligence as Hadrian scales from one plant to twenty-plus and beyond. You’ll work in a fast, cross-functional environment focused on data quality, governance, and trusted insights.\n\nCompensation / BenefitsMedical, dental, vision, and life insurance401kRelocation support may be providedFlexible vacation policyEquity\nResponsibilitiesArchitect and maintain the certified dataset layer in dbt with models, tests, documentation, and SLAsBuild well-modeled datasets to support self-service analytics and AI data apps at scaleDefine canonical metric definitions, ownership, and refresh cadenceImplement scalable data models and semantic layer for 1–20+ factoriesPartner with Data Platform Engineering to strengthen the unified data platform and standardsCollaborate with OR Scientists and Data Scientists on features and model-output storesEvaluate analytical tooling (BI platforms, notebooks, metric layers)Define analytical-engineering standards: naming, testing, CI/CD, and documentationMentor Data Analysts to drive data governance and consistency\nKey requirementsProduction ownership of data models with multi-year scaleExpert SQL (window functions, CTEs) with performance and cost awarenessExperience shipping production data pipelines with Spark, dbt, and Dagster or equivalentsStrong data-modeling foundations (normalization, denormalization, star/snowflake schemas)Familiar with lake and warehouse internals (columnar stores, Iceberg, partitioning, materializations)Experience building semantic layers with dbt, Snowflake, or DatabricksPython for reusable pipeline and data-app utilitiesEnd-to-end ownership with quality barcross-functional collaborationmentoring and coachingstrong ownership and accountabilitydbtSnowflakeDatabricks","company":"Hadrian","rawCompany":"hadrian","city":"Long Beach","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-09-15T03:28:35.369Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer","description":"Overview\nIn this role you will own Hadrian’s semantic and metric layer, enabling a single definition of metrics across factories and dashboards. You’ll build scalable data marts and certified datasets to power analytics and AI applications at company scale. You’ll define standards for metrics, data models, and governance while collaborating with data platform, analytics, and business teams. This is a chance to shape operational intelligence as Hadrian scales from one plant to twenty-plus and beyond. You’ll work in a fast, cross-functional environment focused on data quality, governance, and trusted insights.\n\nCompensation / BenefitsMedical, dental, vision, and life insurance401kRelocation support may be providedFlexible vacation policyEquity\nResponsibilitiesArchitect and maintain the certified dataset layer in dbt with models, tests, documentation, and SLAsBuild well-modeled datasets to support self-service analytics and AI data apps at scaleDefine canonical metric definitions, ownership, and refresh cadenceImplement scalable data models and semantic layer for 1–20+ factoriesPartner with Data Platform Engineering to strengthen the unified data platform and standardsCollaborate with OR Scientists and Data Scientists on features and model-output storesEvaluate analytical tooling (BI platforms, notebooks, metric layers)Define analytical-engineering standards: naming, testing, CI/CD, and documentationMentor Data Analysts to drive data governance and consistency\nKey requirementsProduction ownership of data models with multi-year scaleExpert SQL (window functions, CTEs) with performance and cost awarenessExperience shipping production data pipelines with Spark, dbt, and Dagster or equivalentsStrong data-modeling foundations (normalization, denormalization, star/snowflake schemas)Familiar with lake and warehouse internals (columnar stores, Iceberg, partitioning, materializations)Experience building semantic layers with dbt, Snowflake, or DatabricksPython for reusable pipeline and data-app utilitiesEnd-to-end ownership with quality barcross-functional collaborationmentoring and coachingstrong ownership and accountabilitydbtSnowflakeDatabricks","datePosted":"2026-09-15T03:28:35.369Z","dateModified":"2026-09-15T03:28:35.369Z","hiringOrganization":{"@type":"Organization","name":"Hadrian","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Long Beach","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"70adacf02616c5e40820b177"},"url":"https://jobsearcher.com/jobs/70adacf02616c5e40820b177"}}