JOB DESCRIPTION Job Summary
Provides lead level engineering support for information technology (IT) big data
architecture activities on Microsoft Azure cloud infrastructure. Representing as
a Forward Deployed Engineer, responsible for leading the collection, storage,
processing, and analysis of large health care payor datasets supporting
Medicare/Medicaid operations. Designs enterprise-scale data solutions on Azure
Databricks, Azure Data Factory, and Azure Synapse with emphasis on performance,
scalability, and high-reliability. Champions AI-first practices, mentors team
members, and drives adoption of machine learning and advanced analytics to
improve member health outcomes. Partners strategically with business leaders to
identify data-driven opportunities and delivers end-to-end solutions.
Essential Job Duties
• 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.
Required Qualifications
• 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.
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