Lead Engineer, Big Data

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