Molina Healthcare

Senior Engineer, Big Data - Medical Cost Grouper - Remote

United States remote Senior Salary not listed
remote Senior level Technology & IT Curated
Sign in to apply Free account — we bring you straight back to this role.

About the role

JOB DESCRIPTION Job SummaryProvides 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
Originally posted on Himalayas

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Senior
Technology & IT CRM Data Analysis Finance MySQL Operations Senior level

Likely questions

  1. Tell us about work you have done that is close to the Senior Engineer, Big Data - Medical Cost Grouper - Remote role.
  2. How would you approach your first 30 days at Molina Healthcare?
  3. Which of CRM, Data Analysis and Finance have you used recently, and what did it help you achieve?
  4. How have you led people, improved a process, or made a hard decision in a previous role?
  5. How do you stay organised and communicate clearly when working remotely?

Prepare before the call

  • A recent example that proves your experience with CRM, Data Analysis and Finance.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Senior Engineer, Big Data - Medical Cost Grouper - Remote role because I can bring practical experience in CRM, Data Analysis and Finance, learn the team quickly, and contribute to the outcomes Molina Healthcare needs from this hire.

Related jobs.

More roles from this company or category.