Lead Engineer, Big Data - Databricks - Remote

Molina Healthcare is a health care organization supporting Medicare and Medicaid operations. The Lead Engineer will provide technical leadership for enterprise-scale big data architecture on Microsoft Azure, design Databricks-based data solutions, champion AI and machine learning practices, and deliver analytics solutions for health care outcomes.

Responsibilities:

• Operates as a lead Forward Deployed Engineer, driving end-to-end ownership culture and mentoring team members on business problem-solving
• Provides subject matter expertise in Azure data platform architecture (Azure Databricks, Azure Synapse, Azure Data Factory, Azure Data Lake)
• Champions AI-first development practices, implementing GitHub Copilot workflows and Azure Machine Learning solutions for predictive health care analytics
• Designs and implements business intelligence (BI) solutions using Power BI, Tableau integrated with Azure data platform
• Analyzes current business practices and identifies opportunities for leveraging Azure data and AI PaaS services to improve Medicare/Medicaid operations
• Builds reusable data quality frameworks and automated data validation using Azure DevOps and quality assurance automation tools
• Leads integration initiatives connecting Azure data platform with low-code platforms (Pega, Salesforce, Sitecore)
• Converts business requirements into technical architecture, design and implementation for health care analytics use cases
• Designs analytical data models supporting self-service BI for clinical, financial, and operational stakeholders
• Implements batch and real-time data pipelines for claims processing, quality metrics, and population health analytics
• Partners with business leaders across the organization to identify high-value data opportunities and prioritize initiatives
• Leads technical issue resolution and collaborates with Azure support, infrastructure, and vendor teams
• Supports project planning, scheduling and execution using Agile methodologies
• Ensures HIPAA compliance and health care data governance standards are maintained
• Provides training, mentoring and support to new and existing big data team members on Azure data technologies and Forward Deployed Engineer principles

Requirements:

• • At least 6 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, Azure Machine Learning)
• • Proven experience implementing AI-assisted development and machine learning solutions
• • Proficiency in Python, PySpark, Scala, and SQL with quality assurance automation experience
• • Experience with real-time streaming architectures (Kafka, Azure Event Hubs, Spark Streaming)
• • Experience integrating data platforms with low-code systems (Pega, Salesforce)
• • Health care payor industry experience with Medicare/Medicaid claims, quality metrics (HEDIS, Stars), and regulatory reporting
• • Understanding of HIPAA requirements and health care data governance frameworks
• • Ability to mentor and develop team members with Forward Deployed Engineer mindset
• • Experience with Azure DevOps CI/CD pipelines and Infrastructure as Code (Terraform, ARM templates)
• • Critical-thinking and problem-solving skills with business outcome orientation
• • Ability to collaborate cross-functionally in a highly matrixed health care organization
• • Effective verbal and written communication skills, including ability to partner with executive stakeholders and translate business needs
• • 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