Engineer, Big Data - Medical Cost Grouper

Molina Healthcare
United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Microsoft Azure Big Data Data as a Services Data Integration Extract Transform Load (ETL) Data Systems Apache HBase Healthcare Effectiveness Data and Information Set Python (Programming Language)
+29 more
Machine Learning NoSQL Power BI Cloud Services Azure DevOps Pipelines Azure Machine Learning Azure Data Lake Salesforce.Com Scala (Programming Language) Software Engineering SQL Databases Data Streaming Pega Azure Data Factory GitHub Copilot Office365 Delivery Pipeline Pyspark Information Technology Data Analytics Low-code Apache Kafka Cosmos DB Spark Streaming Data Management Video Streaming Azure Synapse Analytics Data Pipelines Databricks

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., 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.

Requirements

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., Experience in the health care industry. Health care payor data experience including claims, eligibility, quality metrics, and regulatory reporting. Azure Data Engineer certification.

Benefits & conditions

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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