高级工程师，大数据 - 医疗成本分组器 - 远程
Senior Engineer, Big Data - Medical Cost Grouper - Remote
职位描述
职位概述
为微软Azure云基础设施上的信息技术（IT）大数据架构活动提供高级工程支持。作为前置部署工程师，负责收集、存储、处理和分析支持医疗保险/医疗补助运营的大型医疗保险公司数据集。在Azure Databricks、Azure Data Factory和Azure Synapse上设计和构建数据解决方案，重点在于性能、可扩展性和高可靠性。采用以人工智能为核心的思维方式，利用机器学习和高级分析来获取提升会员结果的洞察。与业务利益相关者跨职能协作，了解医疗保健挑战并交付端到端的数据驱动解决方案。
核心职责
- 作为高级前置部署工程师，对解决医疗保险公司业务挑战的数据解决方案承担全流程责任。
- • 在微软Azure（Azure Databricks、Azure Data Factory、Azure Synapse、Azure Data Lake）上设计和构建医疗保健分析的企业级数据解决方案。
- • 将业务需求转化为技术架构、设计和实现，支持医疗保险/医疗补助运营。
- • 利用以人工智能为核心的发展实践，包括GitHub Copilot和Azure Machine Learning进行预测分析。
- • 使用Python、PySpark、Scala和SQL编写、测试和文档化数据解决方案，并进行自动化质量保证测试。
- • 构建支持理赔处理、质量指标（HEDIS、Stars）和人群健康的分析数据模型。
- • 通过ETL、流处理和API实现批量和实时数据管道，连接多种医疗保健数据源。
- • 主动与业务利益相关者（临床运营、财务、供应商网络）合作，将需求转化为数据解决方案。
- • 将数据解决方案与低代码平台（Pega、Salesforce）集成，实现企业范围内的分析能力。
- • 与包括数据科学、BI和应用开发在内的跨职能团队协作。
- • 与基础设施、Azure支持和供应商团队协作，协助解决技术问题。
- • 使用敏捷方法进行项目规划和排期。
- • 遵守既定的企业IT架构、Azure良好架构框架和HIPAA合规要求。
- • 为大数据团队成员提供Azure数据技术和前置部署工程师的培训和支持。
查看英文原文
JOB DESCRIPTION Job SummaryProvides senior level engineering support for information technology (IT) big data architecture activities on Microsoft Azure cloud infrastructure. Representing as a Forward Deployed Engineer, responsible for collecting, storing, processing, and analyzing large health care payor datasets supporting Medicare/Medicaid operations. Designs and builds data solutions on Azure Databricks, Azure Data Factory, and Azure Synapse with emphasis on performance, scalability, and high-reliability. Embraces AI-first mindset leveraging machine learning and advanced analytics to derive insights that improve member outcomes. Collaborates cross-functionally with business stakeholders to understand health care challenges and deliver end-to-end data-driven solutions.
Essential Job Duties
- Operates as senior Forward Deployed Engineer, taking end-to-end ownership of data solutions that solve health care payor business challenges.
- • Designs and builds enterprise data solutions on Microsoft Azure (Azure Databricks, Azure Data Factory, Azure Synapse, Azure Data Lake) for health care analytics.
- • Converts business requirements into technical architecture, design and implementation supporting Medicare/Medicaid operations.
- • Leverages AI-first development practices including GitHub Copilot and Azure Machine Learning for predictive analytics.
- • Codes, tests, and documents data solutions using Python, PySpark, Scala, and SQL with automated quality assurance testing.
- • Builds data models for analytics supporting claims processing, quality metrics (HEDIS, Stars), and population health.
- • Implements batch and real-time data pipelines through ETL, streaming, and APIs connecting diverse health care data sources.
- • Partners proactively with business stakeholders (clinical operations, finance, provider networks) to translate needs into data solutions.
- • Integrates data solutions with low-code platforms (Pega, Salesforce) for enterprise-wide analytics capabilities.
- • Collaborates with cross-functional teams including data science, BI, and application development.
- • Facilitates technical issue troubleshooting with infrastructure, Azure support, and vendor teams.
- • Supports project planning and scheduling using Agile methodologies.
- • Adheres to established enterprise IT architecture, Azure Well-Architected Framework, and HIPAA compliance requirements.
- • Provides training and support to big data team members on Azure data technologies and Forward Deployed Engineer principles.
Required Qualifications
- At least 5 years of data management experience on cloud data platforms, or equivalent combination of relevant education and experience.
- • Bachelor's degree in IT, computer science, statistics, business, health care, engineering, etc.
- • Experience with Microsoft Azure data services (Azure Databricks, Azure Data Factory, Azure Synapse, Azure Data Lake Storage).
- • Experience with AI-assisted development (GitHub Copilot) and Azure Machine Learning.
- • Proficiency in Python, PySpark, Scala, and SQL with experience in quality assurance automation.
- • Experience with streaming technologies (Kafka, Azure Event Hubs, Spark Streaming).
- • Experience integrating data solutions with low-code platforms (Pega, Salesforce).
- • Understanding of HIPAA data privacy and health care data governance requirements.
- • Forward Deployed Engineer mindset - ownership of data solutions end-to-end with business outcome focus.
- • Experience with Agile methodologies and Azure DevOps CI/CD pipelines.
- • Experience building solutions with NoSQL databases (Cosmos DB, HBase).
- • Critical-thinking and problem-solving skills with data quality focus.
- • Ability to work in a highly matrixed health care organization.
- • Effective verbal and written communication skills, and ability to collaborate with business stakeholders and cross-functional teams.
- • Experience with Microsoft O365, Power BI, and Azure DevOps.
Preferred Qualifications
- Experience in the health care industry.
- • Health care payor data experience including claims, eligibility, quality metrics, and regulatory reporting.
• Azure Data Engineer certification.
To all current Molina employees: If you are interested in applying for this position, please apply through the Internal Job Board.
Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V
Originally posted on Himalayas