{"schemaVersion":"jobsearcher.job.v1","id":"8aff995f3c9818895cddda69","url":"https://jobsearcher.com/jobs/8aff995f3c9818895cddda69","canonicalUrl":"https://jobsearcher.com/jobs/8aff995f3c9818895cddda69","title":"Staff Data Engineer, Analytics","description":"Overview\nAs Staff Data Engineer, you own the analytics platform that underpins Afresh’s data products and AI-driven insights. You will shape data models, pipelines, and governance to serve internal and customer analytics at scale. You’ll collaborate with cross-functional teams to deliver reliable data, semantic metrics, and context for AI-enabled decisions. This is a high-impact, growth-oriented role focused on reducing food waste and enabling data-driven decisions across the business. You’ll lead and mentor peers while tackling meaningful, company-wide challenges.\n\nCompensation / BenefitsComprehensive health, dental, vision for you and familyCompetitive base salary and meaningful equity401(k) with company matchHome office stipend and coworking walletsAnnual professional development budgetMonthly Betterment and telecom stipends\nResponsibilitiesDevelop and extend the analytics platform, improving data models and pipelines for reliability and accessibilityCollaborate with stakeholders to translate data needs into extensible dimensional models, semantic metrics, and AI-ready context/toolsEvolve data quality and governance processes to support trusted analyticsMentor and up-skill engineers across the teamOwn high-visibility projects with opportunities for scope expansionEnsure platform supports internal and customer-facing analytics needs\nKey requirements6+ years of data engineering or analytics engineering experienceStrong communication and leadership abilities for cross-team collaborationProactive, ownership-driven mindset with problem-solving initiativeFluency in SQL, dimensional modeling, and data warehouse designExperience with Cloud Data Warehouses (Databricks, Snowflake, BigQuery)Proficiency in dbtExperience with orchestration tools (Airflow, Dagster, or similar)Experience with modern semantic layers (LookML, Cube.dev, Databricks Metrics Views, dbt MetricFlow)Experience designing and optimizing pipelines handling billion+ row datasetsExperience integrating AI models to enhance analytics qualityExceptional communicationCross-functional collaborationOwnership and initiativeSQL and dimensional modelingData warehouse designDatabricks, Snowflake, BigQuery","company":"Afresh","rawCompany":"afresh","city":"Denver","state":"CO","isRemote":false,"isActive":true,"createdAt":"2026-09-15T04:52:39.603Z","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":"Staff Data Engineer, Analytics","description":"Overview\nAs Staff Data Engineer, you own the analytics platform that underpins Afresh’s data products and AI-driven insights. You will shape data models, pipelines, and governance to serve internal and customer analytics at scale. You’ll collaborate with cross-functional teams to deliver reliable data, semantic metrics, and context for AI-enabled decisions. This is a high-impact, growth-oriented role focused on reducing food waste and enabling data-driven decisions across the business. You’ll lead and mentor peers while tackling meaningful, company-wide challenges.\n\nCompensation / BenefitsComprehensive health, dental, vision for you and familyCompetitive base salary and meaningful equity401(k) with company matchHome office stipend and coworking walletsAnnual professional development budgetMonthly Betterment and telecom stipends\nResponsibilitiesDevelop and extend the analytics platform, improving data models and pipelines for reliability and accessibilityCollaborate with stakeholders to translate data needs into extensible dimensional models, semantic metrics, and AI-ready context/toolsEvolve data quality and governance processes to support trusted analyticsMentor and up-skill engineers across the teamOwn high-visibility projects with opportunities for scope expansionEnsure platform supports internal and customer-facing analytics needs\nKey requirements6+ years of data engineering or analytics engineering experienceStrong communication and leadership abilities for cross-team collaborationProactive, ownership-driven mindset with problem-solving initiativeFluency in SQL, dimensional modeling, and data warehouse designExperience with Cloud Data Warehouses (Databricks, Snowflake, BigQuery)Proficiency in dbtExperience with orchestration tools (Airflow, Dagster, or similar)Experience with modern semantic layers (LookML, Cube.dev, Databricks Metrics Views, dbt MetricFlow)Experience designing and optimizing pipelines handling billion+ row datasetsExperience integrating AI models to enhance analytics qualityExceptional communicationCross-functional collaborationOwnership and initiativeSQL and dimensional modelingData warehouse designDatabricks, Snowflake, BigQuery","datePosted":"2026-09-15T04:52:39.603Z","dateModified":"2026-09-15T04:52:39.603Z","hiringOrganization":{"@type":"Organization","name":"Afresh","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"8aff995f3c9818895cddda69"},"url":"https://jobsearcher.com/jobs/8aff995f3c9818895cddda69"}}