
11 - 50 funcionários
🏥 Saúde
⚕️ Seguro de Saúde
☁️ SaaS
Healthcare • Healthcare Insurance • SaaS
A Opala é uma empresa de tecnologia focada na indústria de saúde, fornecendo soluções de software especificamente projetadas para operadoras e prestadores de serviços de saúde. A empresa permite que essas entidades aproveitem seus dados para melhorar os resultados dos pacientes e a eficiência operacional, automatizando processos administrativos, garantindo a conformidade e aprimorando a qualidade dos dados. Com forte ênfase na colaboração em todo o ecossistema da saúde, a Opala visa transformar as operações de saúde por meio de suas ferramentas inovadoras baseadas em dados.
🕒 Agosto 18
☕ Washington – Remoto
💵 $220.000 / ano
⏰ Tempo Integral
🔴 Especialista
👔 Diretor
🦅 Patrocina Visto H1B
👻 Score fantasma 0%
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

11 - 50 funcionários
🏥 Saúde
⚕️ Seguro de Saúde
☁️ SaaS
Healthcare • Healthcare Insurance • SaaS
A Opala é uma empresa de tecnologia focada na indústria de saúde, fornecendo soluções de software especificamente projetadas para operadoras e prestadores de serviços de saúde. A empresa permite que essas entidades aproveitem seus dados para melhorar os resultados dos pacientes e a eficiência operacional, automatizando processos administrativos, garantindo a conformidade e aprimorando a qualidade dos dados. Com forte ênfase na colaboração em todo o ecossistema da saúde, a Opala visa transformar as operações de saúde por meio de suas ferramentas inovadoras baseadas em dados.
• Design and implement scalable data architectures integrating healthcare payer, health exchange, provider, and EMR data into unified golden records • Lead technical strategy for mapping healthcare data sources to HL7 FHIR and interoperability standards • Architect, implement, and optimize batch and real-time data pipelines and integrations • Drive technical decisions for Databricks, optimizing development velocity, cost efficiency, and operational excellence • Establish data governance and operationalize data quality, lineage, and documentation • Guide data integrations including SFTP, Delta Sharing, and EMR integrations • Lead and mentor data engineers, analysts, and QA engineers • Recruit, hire, and develop data talent • Collaborate with product, engineering, and operations teams • Establish engineering processes, code review standards, and quality assurance practices • Partner with the CTO on long-term data strategy and technology roadmap planning • Collaborate with product leadership to support product strategy • Drive data-informed decision-making through analytics and reporting
• 5+ years of experience in healthcare data • Deep understanding of payer and provider data ecosystems • Extensive experience with FHIR, HL7, X12, and clinical data formats • Proven experience with EMR systems, claims data, and clinical workflows • Strong understanding of HIPAA, HITECH, FDA, and CMS requirements • Advanced proficiency in data architecture, data engineering, and data science methodologies • Expert-level Databricks experience, including cost and performance optimization • Strong background in pub/sub architectures, batch processing, and real-time healthcare data integration • Proficiency in Python, SQL, Spark, Kafka, and related modern data stack technologies • Experience with Azure, AWS, or GCP and infrastructure as code • Familiarity with AI/ML technologies • 3+ years of experience leading technical teams • Ability to recruit, develop, and retain technical talent • Ability to translate complex technical concepts to non-technical stakeholders • Collaboration with product, engineering, and clinical stakeholders • Advanced degree in Computer Science, Engineering, Data Science, or related field preferred • Experience with HL7 Da Vinci organizations preferred • Previous health tech startup or healthcare technology company experience preferred • Knowledge of machine learning and AI applications in healthcare preferred • Experience building data products, federated data architectures, and customer-facing platforms preferred • Comfortable presenting and performing discovery with customers and partners • Familiarity with healthcare quality measures and value-based care models
• Medical, dental, vision, life and AD&D insurance • EAP • Short-term and long-term disability • 16 days PTO • 8 paid holidays • Fully paid holiday closure • Parental and family medical leave • 401k • Stock options • Annual bonuses • Salary increases based on merit
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