CVS Health
CVS Health
CVS Health एक अमेरिकी स्वास्थ्य सेवा कंपनी है, जो स्वास्थ्य सेवाओं, स्वास्थ्य बीमा, फार्मेसी लाभ प्रबंधन और रिटेल फार्मेसी के क्षेत्रों में काम करती है। Aetna और CVS Caremark जैसे व्यवसायों के माध्यम से यह स्वास्थ्य कवरेज, दवाओं तक पहुंच, रोग प्रबंधन, विशेष दवाओं और मेल-ऑर्डर फार्मेसी सेवाओं में सहायता प्रदान करती है। इसकी स्थानीय फार्मेसियां और व्यापक स्वास्थ्य सेवाएं लोगों को आवश्यक स्वास्थ्य देखभाल अधिक सुविधाजनक और किफायती तरीके से प्राप्त करने में मदद करने के लिए बनाई गई हैं। CVS Health बीमा, फार्मेसी और स्वास्थ्य सेवाओं को एक साथ लाकर लोगों और समुदायों को उनकी स्वास्थ्य यात्रा के दौरान सहयोग प्रदान करती है।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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

लाभ

  • 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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