Senior Engineer, Big Data - Medical Cost Grouper - Remote

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.

Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V