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CVS Health
CVS Health
Chakana savdoSog‘liqni saqlashTibbiy sug‘urta
CVS Health sog‘liqni saqlash xizmatlari, tibbiy sug‘urta, dorixona imtiyozlarini boshqarish va chakana dorixona faoliyati yo‘nalishlarida ishlaydigan Amerika kompaniyasidir. Aetna va CVS Caremark kabi bizneslari orqali tibbiy sug‘urta qamrovi, retsept bo‘yicha dori vositalaridan foydalanish, kasalliklarni boshqarish, maxsus dori-darmonlar va pochta orqali dorixona xizmatlarini taqdim etadi. Uning mahalliy dorixonalari va keng qamrovli tibbiy xizmatlari odamlarga zarur tibbiy yordamdan qulayroq va hamyonboproq foydalanishga yordam berish uchun mo‘ljallangan. CVS Health sug‘urta, dorixona va sog‘liqni saqlash xizmatlarini birlashtirib, insonlar va jamoalarni davolanish jarayonining barcha bosqichlarida qo‘llab-quvvatlaydi.
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Kompaniyadagi ish o‘rinlari

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.

USAmerika Qo‘shma ShtatlariALAlabamaAZArizonaCAKaliforniyaCOKoloradoCTKonnektikutFLFloridaILIllinoysIAAyovaKSKanzasKYKentukkiLALuizianaMEMenMDMerilendMAMassachusetsMIMichiganMNMinnesotaMSMissisipiMOMissuriMTMontanaNENebraskaNVNevadaNHNyu-HempshirNJNyu-JersiNMNyu-MeksikoNYNyu-YorkNCShimoliy KarolinaNDShimoliy DakotaOHOgayoOKOklaxomaOROregonPAPensilvaniyaRIRod-AylendSCJanubiy KarolinaSDJanubiy DakotaTNTennessiTXTexasUTYutaVTVermontVAVirjiniyaWAVashingtonWIViskonsinWYVayoming
82 940 $ – 182 549 $ / yil
MasofaviyTo‘liq stavkaSeniorTalab Qilinadigan Til: inglizchaMa’lumotlar muhandisi
AirflowPySparkPythonSparkSQL

Tavsif

  • 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

Talablar

  • 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

Imtiyozlar

  • 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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