Chamber
Chamber
Chamber एक हेल्थकेयर टेक्नोलॉजी कंपनी है, जो वैल्यू-बेस्ड केयर की ओर बढ़ रही कार्डियोलॉजी टीमों को सेवाएँ प्रदान करती है। इसके SaaS टूल और सहायता सेवाएँ रियल-टाइम जानकारी, प्रशासनिक सहयोग और भुगतानकर्ताओं के साथ बातचीत की विशेषज्ञता उपलब्ध कराती हैं, जिससे प्रैक्टिस व्यापक देखभाल का समन्वय कर सकती हैं और अपने लिए सीधे अतिरिक्त लागत बढ़ाए बिना नए राजस्व अवसरों की पहचान कर सकती हैं। कार्डियोलॉजिस्टों को अस्पताल प्रणालियों और उच्च प्रदर्शन करने वाले प्रदाताओं के व्यापक नेटवर्क से जोड़कर, Chamber अधिक प्रभावी कार्डियोलॉजी देखभाल पारिस्थितिकी तंत्र को समर्थन देता है और प्रैक्टिसों को समय पर, उपयुक्त उपचार के अनुरूप प्रतिपूर्ति व्यवस्था बनाने में मदद करता है।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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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