CVS Health
CVS Health
CVS Health — денсаулық сақтау қызметтері, медициналық сақтандыру, дәріхана жәрдемақыларын басқару және бөлшек дәріхана салаларында жұмыс істейтін америкалық денсаулық сақтау компаниясы. Aetna және CVS Caremark сияқты бизнес бағыттары арқылы медициналық сақтандыруды, рецепт бойынша дәрілерге қолжетімділікті, ауруларды басқаруды, арнайы дәрілерді және пошта арқылы дәріхана қызметтерін ұсынады. Оның жергілікті дәріханалары мен кең ауқымды медициналық қызметтері адамдарға негізгі медициналық көмекті ыңғайлырақ әрі қолжетімді бағамен алуға көмектесуге бағытталған. CVS Health сақтандыру, дәріхана және денсаулық сақтау қызметтерін біріктіріп, адамдар мен қауымдастықтарға емделу жолының барлық кезеңінде қолдау көрсетеді.

Senior Manager, Medicare Revenue Data Engineering - Remote

Lead CVS Health’s data engineering foundation for Medicare revenue. Build auditable healthcare data pipelines supporting forecasting, risk adjustment, Finance, and Actuarial teams.

Сипаттама

  • Own the data foundation that powers the Medicare revenue engine
  • Design, build, and operate pipelines and analytical tables for Medicare revenue projection models
  • Ingest, standardize, and reconcile claims, encounters, eligibility and enrollment, EMR and chart extracts, vendor and program files, and CMS artifacts
  • Implement HCC and ICD-10 mappings, model-year versioning, and diagnosis-year versus payment-year structures
  • Manage data quality, reconciliation, lineage, and snapshot or freeze processes for accruals, AtoE, and audit requirements
  • Partner with enterprise data and IT teams on Databricks or comparable lakehouse standards, Spark and PySpark, orchestration, CI/CD, access controls, and cost and performance optimization
  • Deliver documented datasets to Modeling, Finance, Actuarial, and Revenue Integrity teams
  • Establish freshness and completeness SLAs while monitoring data drift and source-system changes
  • Lead and mentor data engineers and define engineering practices for a regulated, financially sensitive environment
  • Support modular revenue, membership and mix, and related data outputs

Талаптар

  • At least 8 years of experience in data engineering
  • At least 4 years of expert-level experience working with healthcare data, including claims, encounters, eligibility, provider, and clinical or chart sources
  • At least 4 years of hands-on production experience with Databricks or Spark with PySpark, Python, SQL, lakehouse or ELT patterns, Airflow or comparable orchestration, and data-quality frameworks
  • At least 4 years supporting risk-adjustment, actuarial, or finance workloads involving reconciliation, point-in-time history, and auditability
  • Strong knowledge of PHI, HIPAA, and controls relevant to revenue and CMS-submission data
  • Familiarity with 834 and 837 transactions, ICD-10, and HCC assignment
  • SAS experience is preferred, particularly with legacy actuarial extracts
  • Direct experience with RA files including MMR, MOR, MAO-004, and EDS or encounter status
  • Experience developing member-level RA engines, suspect or recapture warehouses, or revenue-forecast data products
  • Bachelor’s degree in computer science, engineering, or a related field, or equivalent experience

Артықшылықтар

  • CVS Health bonus, commission, or short-term incentive program
  • Equity award program
  • Medical coverage
  • Dental coverage
  • Vision coverage
  • Paid time off
  • Retirement savings options
  • Wellness programs
  • Additional resources supporting physical, emotional, and financial well-being

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