Senior Engineer, Big Data - Medical Cost Grouper - Remote

Molina Healthcare is seeking a senior engineer to provide end-to-end data engineering support for healthcare payor operations on Microsoft Azure. The role designs, builds, and supports scalable big data solutions using Azure services, AI-assisted development, machine learning, analytics, and data pipelines to improve member outcomes and support Medicare/Medicaid operations.

Responsibilities:

• 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

Requirements:

• 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
• Experience in the health care industry
• Health care payor data experience including claims, eligibility, quality metrics, and regulatory reporting
• Azure Data Engineer certification