Senior Engineer, Big Data - Medical Cost Grouper - Remote
# Senior Engineer, Big Data - Medical Cost Grouper - Remote **Molina Healthcare** · United States · `Remote` · `Full Time` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Big-Data-Engineer]` `[Data-Engineer]` `[Azure-Data-Engineer]` `[Healthcare-Data-Engineer]` `[Remote-Senior-Data-Engineer-Healthcare]` `[Senior-Data-Engineer-Medical-Technology]` --- ### About the Role JOB DESCRIPTION Job Summary Provides 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. Originally posted on Himalayas
- Big-Data-Engineer
- Data-Engineer
- Azure-Data-Engineer
- Healthcare-Data-Engineer
- Remote-Senior-Data-Engineer-Healthcare
- Senior-Data-Engineer-Medical-Technology
Наблюдалась 2026-10-04, впервые 2026-10-04, источник — Himalayas (JSON API).