Lead Engineer, Big Data

• Partner directly with Risk Adjustment analysts and business leadership to understand operational workflows and identify opportunities for process improvement.
• Translate complex operational processes into configurable systems that allow business logic to evolve without frequent engineering changes.
• Design deterministic workflow and decision engines that provide complete auditability, traceability, and regulatory transparency.
• Continuously improve business operations through automation, standardization, and thoughtful platform design.

• Design metadata-driven platforms that separate business configuration from application code, enabling governed operational changes without core software modifications.
• Build reusable frameworks for business-rule execution, validation, testing, auditing, version management, and workflow orchestration across multiple Risk Adjustment functions.
• Develop tooling that enables analysts to safely extend platform capabilities within defined engineering guardrails while preserving production reliability.
• Engineering Excellence
• Apply modern engineering practices including version control, automated testing, peer review, structured release management, and production monitoring.
• Develop high-quality Python and SQL solutions emphasizing performance, maintainability, readability, and long-term supportability.
• Optimize platform performance to support growing data volumes and increasingly sophisticated operational workflows.
• Establish standards that enable analysts to safely contribute enhancements through governed development practices while ensuring platform quality and sustainability.

• Engage with corporate AI assets to apply artificial intelligence to improve analyst productivity, software development, operational support, and business decision-making.
• Build AI-enabled capabilities that simplify interaction with operational systems, documentation, and business knowledge while accelerating solution delivery.

• Serve as the primary analytics engineering partner to Risk Adjustment, recommending technical solutions that improve operational effectiveness and scalability.
• Collaborate with compliance, audit, clinical, and technology teams to ensure platforms satisfy business, regulatory, and operational requirements.
• Communicate platform capabilities, engineering progress, and technical concepts effectively to business leadership.

• Seven (7) or more years of professional experience designing and building production-grade software, analytics, or operational data platforms.
• Demonstrated experience designing configurable operational platforms, workflow engines, decision engines, state machines, or comparable business applications with strong governance, auditability, version control, and long-term maintainability.
• Expert proficiency with Python, SQL, and modern cloud analytics platforms such as Azure Databricks or equivalent technologies.
• Proven ability to gather requirements directly from business stakeholders and translate complex operational needs into scalable technical solutions.
• Experience owning production systems, including deployment, monitoring, incident response, and ongoing operational support.
• Experience working with healthcare data, including claims, encounters, eligibility, medical records, provider, or clinical data.
• Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or equivalent practical experience.

• Experience supporting Risk Adjustment, Quality, Care Management, Population Health, Utilization Management, or other regulated healthcare operations.
• Familiarity with CMS Risk Adjustment methodologies, HCC coding models, RADV, HHS IVA, or related regulatory programs.
• Experience building configuration-driven or metadata-driven software platforms.
• Experience designing systems requiring deterministic execution, complete audit trails, and regulatory traceability.
• Experience implementing workflow orchestration, business process automation, or operational decision-support platforms.
• Familiarity with modern Generative AI technologies and AI-assisted software development.
• Experience mentoring technical staff and establishing engineering standards within a business organization.

To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing.

Molina Healthcare offers a competitive benefits and compensation package.

Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.