{"schemaVersion":"jobsearcher.job.v1","id":"43fef9e92dfab78454a8e689","url":"https://jobsearcher.com/jobs/43fef9e92dfab78454a8e689","canonicalUrl":"https://jobsearcher.com/jobs/43fef9e92dfab78454a8e689","title":"Full Stack, Data & Analytics Engineer","description":"Company Overview Founded in 1977 as the Senior Care Action Network, SCAN is a nonprofit health organization serving more than 500,000 people across Arizona, California, Nevada, New Mexico, Texas, and Washington. With over $8billion in annual revenue, SCAN focuses on Medicare Advantage, integrated care models, primary care, and cutting‑edge care delivery, all guided by its core values of compassion, discipline, innovation, stewardship, and integrity.\nJob Summary Full‑stack data and analytics engineer within a business‑aligned scrum team. Design, develop, and deliver end‑to‑end solutions—including data pipelines, models, semantic layers, and visualizations—while enabling AI/ML use cases. Ensure data is analytics‑ and AI‑ready, support feature engineering, and collaborate with report developers, data scientists, and AI engineers to bring predictive, prescriptive, and generative AI solutions into production.\nResponsibilities Collaborate with business stakeholders across the health plan to translate business needs into actionable analytic, BI, and AI‑enabled solutions that deliver measurable value.\nBuild and refine analytics‑ready data sets needed for dashboards, models, and GenAI applications.\nPerform hands‑on feature engineering and create ML‑ready datasets to accelerate model development across member experience, operational efficiency, and clinical excellence.\nImplement and support AI/ML workflows such as RAG, NLP pipelines, Cortex functions, embeddings, and predictive models.\nGuide the development of, and help maintain, semantic layers and governed metric definitions used across BI dashboards, operational reporting, and AI/ML pipelines.\nBuild business‑facing dashboards and lightweight data‑as‑a‑service applications (Power BI, Streamlit, or similar) that embed predictive, prescriptive, or generative insights for decision‑makers.\nCollaborate with data scientists and AI engineers to operationalize models while ensuring datasets, features, and inference pipelines are versioned, monitored, and production‑ready.\nApply responsible data practices by embedding lineage, quality checks, PHI/PII protection, and responsible AI guardrails directly into workflows.\nIdentify and resolve data quality issues that impact business outcomes and proactively recommend data improvements.\nContinuously explore new AI/ML capabilities, particularly LLM‑ or agentic‑driven workflows, and integrate them into business‑facing solutions where appropriate.\nPerform other duties as assigned.\nQualifications Bachelor’s degree in Computer Science, Data Analytics, or a related field (or equivalent experience).\nHands‑on experience delivering BI and reporting solutions (Power BI, Tableau, or similar) that translate AI‑driven insights into actionable business decisions.\n3–6 years in data engineering, analytics engineering, or applied ML/AI, ideally in a business‑aligned role delivering end‑user solutions.\nExperience building semantic models and defining governed metrics.\nStrong SQL and experience with cloud analytics platforms such as Snowflake, Databricks, or similar.\nHands‑on experience with ETL/ELT tools (Azure Data Factory, Coalesce, dbt, or similar).\nStrong familiarity with Medicare Advantage domains (claims, enrollment, provider data, risk adjustment, Stars/quality, etc.).\nExperience building ML‑ready datasets and supporting data scientists in training and inference workflows.\nFamiliarity with LLM/NLP use cases (RAG, embeddings, vector stores).\nProficiency in Python for data engineering and light ML workflows (Pandas, PySpark, scikit‑learn, or similar).\nExperience working in agile delivery frameworks (Scrum/SAFe) with rapid iteration in business‑facing teams.\nFamiliarity with agile delivery methods (Scrum/SAFe) and software (Azure DevOps, JIRA, etc.).\nHealthcare & Medicare Advantage expertise: understands health plan data domains (claims, provider, member, risk adjustment, quality) and how analytics/AI/ML can improve outcomes.\nComfortable working side‑by‑side with data scientists and ML engineers to ensure models are production‑ready, performant, and aligned to healthcare business needs.\nFull‑stack mindset: ability to span the data lifecycle—back‑end pipelines, semantic models, and front‑end dashboards—integrating AI insights along the way.\nBusiness acumen: connects technical work to strategic health plan objectives such as Stars improvement, member engagement, and cost management.\nProblem solving: resourceful in handling structured and unstructured healthcare data, able to design innovative solutions for AI/ML pipelines.\nClear communicator: explains technical concepts to non‑technical users and partners across business and technology groups.\nMentorship: serves as a mentor to help elevate BI/analytics colleagues in best practices for data engineering and AI enablement.\nAdaptability: learns emerging AI/ML tools and healthcare regulations quickly and applies them responsibly in production environments.\nBenefits Base salary range: $92,400 to $159,133 annually.\nAnnual employee bonus program.\nRobust wellness program.\nGenerous paid‑time‑off (PTO).\n11 paid holidays per year, 1 floating holiday, birthday off, and 2 volunteer days.\nExcellent 401(k) retirement savings plan with employer match.\nRobust employee recognition program.\nTuition reimbursement.\nEqual Employment Opportunity At SCAN we believe that it is our business to improve the state of our world. Each of us has a responsibility to drive equality in our communities and workplaces. We are committed to creating a workforce that reflects our community through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. SCAN is proud to be an Equal Employment Opportunity and affirmative action workplace. Individuals seeking employment will receive consideration for employment without regard to race, color, national origin, religion, age, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender perception or identity, marital status, disability, protected veteran status, or any other status protected by law. A background check is required. The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41CFR60‑1.35(c).\n\n#J-18808-Ljbffr","company":"Shpca Scan Health Plan","rawCompany":"shpca scan health plan","city":"Long Beach","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-06-20T03:55:28.081Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"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":"Full Stack, Data & Analytics Engineer","description":"Company Overview Founded in 1977 as the Senior Care Action Network, SCAN is a nonprofit health organization serving more than 500,000 people across Arizona, California, Nevada, New Mexico, Texas, and Washington. With over $8billion in annual revenue, SCAN focuses on Medicare Advantage, integrated care models, primary care, and cutting‑edge care delivery, all guided by its core values of compassion, discipline, innovation, stewardship, and integrity.\nJob Summary Full‑stack data and analytics engineer within a business‑aligned scrum team. Design, develop, and deliver end‑to‑end solutions—including data pipelines, models, semantic layers, and visualizations—while enabling AI/ML use cases. Ensure data is analytics‑ and AI‑ready, support feature engineering, and collaborate with report developers, data scientists, and AI engineers to bring predictive, prescriptive, and generative AI solutions into production.\nResponsibilities Collaborate with business stakeholders across the health plan to translate business needs into actionable analytic, BI, and AI‑enabled solutions that deliver measurable value.\nBuild and refine analytics‑ready data sets needed for dashboards, models, and GenAI applications.\nPerform hands‑on feature engineering and create ML‑ready datasets to accelerate model development across member experience, operational efficiency, and clinical excellence.\nImplement and support AI/ML workflows such as RAG, NLP pipelines, Cortex functions, embeddings, and predictive models.\nGuide the development of, and help maintain, semantic layers and governed metric definitions used across BI dashboards, operational reporting, and AI/ML pipelines.\nBuild business‑facing dashboards and lightweight data‑as‑a‑service applications (Power BI, Streamlit, or similar) that embed predictive, prescriptive, or generative insights for decision‑makers.\nCollaborate with data scientists and AI engineers to operationalize models while ensuring datasets, features, and inference pipelines are versioned, monitored, and production‑ready.\nApply responsible data practices by embedding lineage, quality checks, PHI/PII protection, and responsible AI guardrails directly into workflows.\nIdentify and resolve data quality issues that impact business outcomes and proactively recommend data improvements.\nContinuously explore new AI/ML capabilities, particularly LLM‑ or agentic‑driven workflows, and integrate them into business‑facing solutions where appropriate.\nPerform other duties as assigned.\nQualifications Bachelor’s degree in Computer Science, Data Analytics, or a related field (or equivalent experience).\nHands‑on experience delivering BI and reporting solutions (Power BI, Tableau, or similar) that translate AI‑driven insights into actionable business decisions.\n3–6 years in data engineering, analytics engineering, or applied ML/AI, ideally in a business‑aligned role delivering end‑user solutions.\nExperience building semantic models and defining governed metrics.\nStrong SQL and experience with cloud analytics platforms such as Snowflake, Databricks, or similar.\nHands‑on experience with ETL/ELT tools (Azure Data Factory, Coalesce, dbt, or similar).\nStrong familiarity with Medicare Advantage domains (claims, enrollment, provider data, risk adjustment, Stars/quality, etc.).\nExperience building ML‑ready datasets and supporting data scientists in training and inference workflows.\nFamiliarity with LLM/NLP use cases (RAG, embeddings, vector stores).\nProficiency in Python for data engineering and light ML workflows (Pandas, PySpark, scikit‑learn, or similar).\nExperience working in agile delivery frameworks (Scrum/SAFe) with rapid iteration in business‑facing teams.\nFamiliarity with agile delivery methods (Scrum/SAFe) and software (Azure DevOps, JIRA, etc.).\nHealthcare & Medicare Advantage expertise: understands health plan data domains (claims, provider, member, risk adjustment, quality) and how analytics/AI/ML can improve outcomes.\nComfortable working side‑by‑side with data scientists and ML engineers to ensure models are production‑ready, performant, and aligned to healthcare business needs.\nFull‑stack mindset: ability to span the data lifecycle—back‑end pipelines, semantic models, and front‑end dashboards—integrating AI insights along the way.\nBusiness acumen: connects technical work to strategic health plan objectives such as Stars improvement, member engagement, and cost management.\nProblem solving: resourceful in handling structured and unstructured healthcare data, able to design innovative solutions for AI/ML pipelines.\nClear communicator: explains technical concepts to non‑technical users and partners across business and technology groups.\nMentorship: serves as a mentor to help elevate BI/analytics colleagues in best practices for data engineering and AI enablement.\nAdaptability: learns emerging AI/ML tools and healthcare regulations quickly and applies them responsibly in production environments.\nBenefits Base salary range: $92,400 to $159,133 annually.\nAnnual employee bonus program.\nRobust wellness program.\nGenerous paid‑time‑off (PTO).\n11 paid holidays per year, 1 floating holiday, birthday off, and 2 volunteer days.\nExcellent 401(k) retirement savings plan with employer match.\nRobust employee recognition program.\nTuition reimbursement.\nEqual Employment Opportunity At SCAN we believe that it is our business to improve the state of our world. Each of us has a responsibility to drive equality in our communities and workplaces. We are committed to creating a workforce that reflects our community through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. SCAN is proud to be an Equal Employment Opportunity and affirmative action workplace. Individuals seeking employment will receive consideration for employment without regard to race, color, national origin, religion, age, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender perception or identity, marital status, disability, protected veteran status, or any other status protected by law. A background check is required. The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41CFR60‑1.35(c).\n\n#J-18808-Ljbffr","datePosted":"2026-06-20T03:55:28.081Z","dateModified":"2026-06-20T03:55:28.081Z","hiringOrganization":{"@type":"Organization","name":"Shpca Scan Health Plan","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Long Beach","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"43fef9e92dfab78454a8e689"},"url":"https://jobsearcher.com/jobs/43fef9e92dfab78454a8e689"}}