Chamber
Chamber
Chamber kardiologiya jamoalariga qiymatga asoslangan tibbiy xizmat ko‘rsatishga o‘tish jarayonida xizmat ko‘rsatuvchi sog‘liqni saqlash texnologiyalari kompaniyasidir. Uning SaaS vositalari va qo‘llab-quvvatlash xizmatlari tibbiy amaliyotlarga kompleks yordamni muvofiqlashtirish va yangi daromad imkoniyatlarini aniqlashda ko‘maklashish uchun real vaqt rejimidagi ma’lumotlar, ma’muriy yordam hamda to‘lovchi tashkilotlar bilan muzokara olib borish bo‘yicha tajribani taqdim etadi; bunda amaliyotlar uchun bevosita qo‘shimcha xarajatlar yuzaga kelmaydi. Chamber kardiologlarni shifoxona tizimlari va yuqori natija ko‘rsatuvchi xizmat ko‘rsatuvchilarning kengroq tarmog‘i bilan bog‘lab, samaraliroq kardiologik yordam ekotizimini qo‘llab-quvvatlaydi hamda amaliyotlarga to‘lovlarni o‘z vaqtida va tegishli davolash bilan muvofiqlashtirishga yordam beradi.

Staff Data Engineer (Remote, United States)

Lead the design of scalable ETL pipelines, integrations, and cloud data infrastructure for Chamber’s cardiology platform. Build secure, compliant healthcare data systems that support analytics and product development.

Tavsif

  • Build and maintain scalable ETL pipelines and data models for analytics and product use cases
  • Develop reliable workflows that connect internal systems with external data sources
  • Scale and optimize cloud databases and infrastructure for complex healthcare datasets
  • Protect data and uphold healthcare compliance requirements, including HIPAA and HITRUST
  • Partner with product, engineering, and clinical teams to define and deliver data capabilities
  • Document systems and establish monitoring to improve data reliability and visibility

Talablar

  • At least 7 years of experience in data engineering or a comparable role, including several years in health technology
  • Advanced proficiency in SQL and Python
  • Practical experience with modern data warehouses such as Snowflake, BigQuery, or Redshift
  • Experience using pipeline and workflow orchestration tools such as Temporal, Airflow, Prefect, or Dagster
  • Experience with AWS, preferably, or with GCP or Azure
  • Understanding of data security principles and healthcare compliance requirements
  • Experience with AI development tools such as Claude Code or Cursor, along with an AI-forward approach
  • Ability to turn messy, complex datasets into actionable insights
  • Strong communication skills and effectiveness in cross-functional collaboration
  • Based in the United States and authorized to work without sponsorship

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