{"schemaVersion":"jobsearcher.job.v1","id":"dc68533dd3a38caa6efbee73","url":"https://jobsearcher.com/jobs/dc68533dd3a38caa6efbee73","canonicalUrl":"https://jobsearcher.com/jobs/dc68533dd3a38caa6efbee73","title":"Analytics Engineer","description":"Analytics Engineer\n\nLocation: On-Site Miami · Reports to: Director, Data & Analytics · Department: Data & Analytics\n\nAbout eMed\n\neMed is a digital-health company built on its Empathetic AI™ Population Health Platform. We partner with large employers, health plans, unions, and government programs to reduce obesity and improve chronic disease outcomes through connected, at-home clinical care — combining remote diagnostics, telehealth, and GLP-1 medication management at scale across the US and UK.\n\nAbout the Role\n\nWe're looking for an Analytics Engineer to join our Global Data & Analytics team and help build the data models, pipelines, and semantic layer that power reporting and decision-making across eMed's clinical, product, marketing, and B2B client operations. You'll sit at the intersection of data engineering and analytics: taking raw data from our warehouse and shaping it into clean, well-tested, documented models that analysts, executives, and external partners can trust.\n\nThis role backfills a key seat on the team and offers significant ownership over how eMed defines, governs, and scales its core data marts as the company grows across new markets and B2B accounts.\n\nWhat You'll Do\nDesign, build, and maintain dbt models across staging, intermediate, and mart layers on our AWS Redshift warehouse, following consistent naming, testing, and documentation standards.\nOwn and evolve core data marts (e.g. patient, prescriptions, clinical outcomes, B2B/eligibility) that feed Tableau dashboards used by Executive, Clinical, Marketing, Product, and B2B stakeholders across US and UK markets.\nPartner with Data Engineers to ensure upstream ingestion (Airbyte, source systems) lands in a state that's reliable and analytics-ready, and flag/fix data quality issues at the source when possible.\nTranslate ambiguous business questions and stakeholder requests into well-structured, reusable data models rather than one-off queries.\nWrite and maintain dbt tests, documentation, and lineage so definitions (e.g. “active patient,” “adherence”) are consistent, discoverable, and governed across the business glossary.\nSupport B2B client analytics and reporting needs — building or maintaining models behind client dashboards and eligibility/data-sharing pipelines — in coordination with client-facing analysts.\nContribute to data governance and quality initiatives, including the ongoing global data-source QA process across our foundational marts.\nParticipate in code review, deployment, and CI/CD practices (Git, dbt, Terraform-managed infrastructure) to keep the warehouse reliable as it scales.\nWhat We're Looking For\n5+ years of experience in an analytics engineering, data engineering, or advanced analytics role, with real ownership of production data models.\nStrong SQL skills and hands-on experience with dbt (or a similar transformation framework) in a modern cloud warehouse (Redshift, Snowflake, BigQuery, or similar).\nSolid understanding of dimensional data modeling (facts/dimensions, star schemas) and how to design models that scale and stay maintainable.\nExperience with a BI tool such as Tableau, Looker, or Power BI — you understand how downstream consumers will actually use what you build.\nComfort working with messy, real-world data and a strong instinct for data quality — testing, validating, and documenting rather than assuming correctness.\nFamiliarity with Git-based version control and CI/CD workflows for analytics code.\nClear written and verbal communication — you can explain a modeling decision or a data quality tradeoff to both engineers and non-technical stakeholders.\nComfortable operating with a fair amount of autonomy and ambiguity in a fast-moving startup environment.\nNice to Have\nExperience in healthcare, life sciences, or another regulated data environment (HIPAA and/or GDPR exposure).\nExperience supporting B2B or external client-facing reporting/data-sharing, including eligibility file ingestion.\nFamiliarity with Airflow/Airbyte or similar orchestration and ingestion tooling.\nExposure to Python for data validation, automation, or lightweight pipeline work.\nExperience contributing to a data governance program (glossaries, metric definitions, data contracts).\nBenefits\nHealth Care Plan (Medical, Dental & Vision)\nRetirement Plan (401k)\nLife Insurance (Basic, Voluntary & AD&D)\nPaid Time Off\nShort Term & Long Term Disability\nCatered Breakfast & Lunch Daily, Plus Snacks\nTraining & Development\nWellness Resources\nFI24qAupbj","company":"Emed","rawCompany":"emed","city":"Miami","state":"FL","isRemote":false,"isActive":false,"createdAt":"2026-08-19T12:14:01.504Z","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":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Analytics Engineer","description":"Analytics Engineer\n\nLocation: On-Site Miami · Reports to: Director, Data & Analytics · Department: Data & Analytics\n\nAbout eMed\n\neMed is a digital-health company built on its Empathetic AI™ Population Health Platform. We partner with large employers, health plans, unions, and government programs to reduce obesity and improve chronic disease outcomes through connected, at-home clinical care — combining remote diagnostics, telehealth, and GLP-1 medication management at scale across the US and UK.\n\nAbout the Role\n\nWe're looking for an Analytics Engineer to join our Global Data & Analytics team and help build the data models, pipelines, and semantic layer that power reporting and decision-making across eMed's clinical, product, marketing, and B2B client operations. You'll sit at the intersection of data engineering and analytics: taking raw data from our warehouse and shaping it into clean, well-tested, documented models that analysts, executives, and external partners can trust.\n\nThis role backfills a key seat on the team and offers significant ownership over how eMed defines, governs, and scales its core data marts as the company grows across new markets and B2B accounts.\n\nWhat You'll Do\nDesign, build, and maintain dbt models across staging, intermediate, and mart layers on our AWS Redshift warehouse, following consistent naming, testing, and documentation standards.\nOwn and evolve core data marts (e.g. patient, prescriptions, clinical outcomes, B2B/eligibility) that feed Tableau dashboards used by Executive, Clinical, Marketing, Product, and B2B stakeholders across US and UK markets.\nPartner with Data Engineers to ensure upstream ingestion (Airbyte, source systems) lands in a state that's reliable and analytics-ready, and flag/fix data quality issues at the source when possible.\nTranslate ambiguous business questions and stakeholder requests into well-structured, reusable data models rather than one-off queries.\nWrite and maintain dbt tests, documentation, and lineage so definitions (e.g. “active patient,” “adherence”) are consistent, discoverable, and governed across the business glossary.\nSupport B2B client analytics and reporting needs — building or maintaining models behind client dashboards and eligibility/data-sharing pipelines — in coordination with client-facing analysts.\nContribute to data governance and quality initiatives, including the ongoing global data-source QA process across our foundational marts.\nParticipate in code review, deployment, and CI/CD practices (Git, dbt, Terraform-managed infrastructure) to keep the warehouse reliable as it scales.\nWhat We're Looking For\n5+ years of experience in an analytics engineering, data engineering, or advanced analytics role, with real ownership of production data models.\nStrong SQL skills and hands-on experience with dbt (or a similar transformation framework) in a modern cloud warehouse (Redshift, Snowflake, BigQuery, or similar).\nSolid understanding of dimensional data modeling (facts/dimensions, star schemas) and how to design models that scale and stay maintainable.\nExperience with a BI tool such as Tableau, Looker, or Power BI — you understand how downstream consumers will actually use what you build.\nComfort working with messy, real-world data and a strong instinct for data quality — testing, validating, and documenting rather than assuming correctness.\nFamiliarity with Git-based version control and CI/CD workflows for analytics code.\nClear written and verbal communication — you can explain a modeling decision or a data quality tradeoff to both engineers and non-technical stakeholders.\nComfortable operating with a fair amount of autonomy and ambiguity in a fast-moving startup environment.\nNice to Have\nExperience in healthcare, life sciences, or another regulated data environment (HIPAA and/or GDPR exposure).\nExperience supporting B2B or external client-facing reporting/data-sharing, including eligibility file ingestion.\nFamiliarity with Airflow/Airbyte or similar orchestration and ingestion tooling.\nExposure to Python for data validation, automation, or lightweight pipeline work.\nExperience contributing to a data governance program (glossaries, metric definitions, data contracts).\nBenefits\nHealth Care Plan (Medical, Dental & Vision)\nRetirement Plan (401k)\nLife Insurance (Basic, Voluntary & AD&D)\nPaid Time Off\nShort Term & Long Term Disability\nCatered Breakfast & Lunch Daily, Plus Snacks\nTraining & Development\nWellness Resources\nFI24qAupbj","datePosted":"2026-08-19T12:14:01.504Z","dateModified":"2026-08-19T12:14:01.504Z","hiringOrganization":{"@type":"Organization","name":"Emed","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Miami","addressRegion":"FL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"dc68533dd3a38caa6efbee73"},"url":"https://jobsearcher.com/jobs/dc68533dd3a38caa6efbee73"}}