Senior Engineer, Big Data - Medical Cost Grouper - Remote

Molina Healthcare; United States; Remote; USD 150,000 - 190,000; Full time

Job summary

Molina Healthcare is seeking a senior Forward Deployed Engineer to lead end-to-end data solutions on Microsoft Azure for Medicare/Medicaid analytics. You will design, build, and optimize data pipelines, models, and dashboards to enable health outcomes and operational efficiency.

You will collaborate with clinical operations, finance, and provider networks, apply HIPAA-compliant data governance, and leverage Azure Databricks, Data Factory, Synapse, and low-code integrations to deliver scalable

Qualifications

• 5+ years of data management experience on cloud data platforms.
• Bachelor's degree in IT, CS, statistics, business, healthcare, or eng.
• Experience with Microsoft Azure data services (Databricks, Data Factory, Synapse, Data Lake).
• Experience with AI-assisted development (GitHub Copilot) and Azure ML.
• Proficiency in Python, PySpark, Scala, and SQL with QA 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 healthcare data governance.

Responsibilities

• Own end-to-end data solutions for payor business challenges.
• Design and build enterprise data solutions on Azure for health care analytics.
• Translate business requirements into technical architecture and implementation.
• Leverage AI-first practices including GitHub Copilot and Azure Machine Learning.
• Code, tests, and documents data solutions using Python, PySpark, Scala, and SQL with QA.
• Build data models for analytics supporting claims processing, quality metrics, and population health.
• Implement batch and real-time data pipelines via ETL, streaming, and APIs.
• Collaborate with stakeholders across clinical ops, finance, and provider networks.
• Integrate data solutions with low-code platforms like Pega and Salesforce.
• Collaborate with data science, BI, and application development teams.

Skills

Python

PySpark

Scala

SQL

Azure

Azure Databricks

Azure Data Factory

Azure Synapse

NoSQL Cosmos DB

Kafka

GitHub Copilot

Azure Machine Learning

CI/CD

HIPAA compliance

Agile

Education

Bachelor's degree in IT / CS / Statistics / Eng

Tools

Azure Databricks

Azure Data Factory

Azure Synapse

Azure Data Lake Storage

Cosmos DB

Salesforce

Pega

Power BI

O365

Azure DevOps

Kafka

Spark Streaming

Job description

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.
• Transforms 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.
• Coding, 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.

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