Senior Engineer, Big Data - Medical Cost Grouper - Remote
United States
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
What you’ll work on
Full postingDesign and build enterprise data solutions on Azure Databricks, Data Factory, and Synapse
Build data models for claims processing, quality metrics, and population health
Implement batch and real-time data pipelines connecting diverse health care sources
Code, test, and document data solutions in Python, PySpark, Scala, and SQL
Integrate data solutions with low-code platforms such as Pega and Salesforce
From the employer’s posting
Designs and builds enterprise data solutions on Microsoft Azure (Azure Databricks, Azure Data Factory, Azure Synapse, Azure Data Lake) for health care analytics.
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.
Codes, tests, and documents data solutions using Python, PySpark, Scala, and SQL with automated quality assurance testing.
Integrates data solutions with low-code platforms (Pega, Salesforce) for enterprise-wide analytics capabilities.
What you’ll bring
All qualificationsCore 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).
Preferred experience
- Experience in the health care industry.
Qualification wording
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).
Experience in the health care industry.
Education & alternatives
• 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).
Tools in this posting
- Python
- Scala
- SQL
- Azure
- Databricks
- Kafka
- NoSQL
- Power BI
- Spark
- PySpark
Source — Tool mentions in context
• 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.
• 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).
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.
• 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.
• 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.
• 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.
• 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
• 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.
• 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.
• 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).
• 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).
• 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
• 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.
• 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.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 25, 2026 · 27 days ago
- Recorded sightings
- 179
- Last seen by us
- Oct 22, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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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.
• 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
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United States
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