Principal Software Engineer - Analytics Platform

Who we are  

Founded in 1999 and headquartered in Central Ohio, we’re a privately-owned, independent healthcare navigation organization. We believe that no one should have to navigate the cost and complexity of healthcare alone, and we’re on a mission to make healthcare simpler and more effective for our millions of members. Our big-hearted, tech-savvy team fights to ensure that our members get the care they need, when they need it, at the most affordable cost – that’s why we call ourselves Healthcare Warriors®.   

We’re committed to building diverse and inclusive teams – more than 2,000 of us and counting – so if you’re excited about this position, we encourage you to apply – even if your experience doesn’t match every requirement. 

About the role  

We’re looking for a hands-on Principal Software Engineer to help lead the engineering and evolution of our analytics platform. This platform supports both external clients and internal teams, delivering dynamic data visualizations, actionable insights, and AI-augmented recommendations through a highly customized Analytics & Business Intelligence (ABI) experience.

The Principal Software Engineer will partner closely with data engineering teams while maintaining a clear focus on application and platform development. You will build, extend, and maintain the software systems that power our analytics products, contributing directly to production code while helping shape architectural decisions that keep the platform scalable, secure, and intuitive.

The ideal candidate is an experienced software engineer who enjoys working directly in the codebase, leading through execution, and applying architectural thinking as a natural part of hands-on development. 

Location: This position is located at our Dublin, OH campus with hybrid flexibility or may work remotely anywhere in the United States of America.

What you’ll do  (Essential Responsibilities)

• Serve as a hands-on technical lead, contributing directly to the design, development, and delivery of our analytics platform.
• Build and extend application and platform capabilities that embed and customize ABI solutions (e.g., Apache Superset, AWS QuickSight, or similar) into a cohesive, client-facing analytics experience.
• Design and implement backend services, APIs, and integration layers that support real-time and scheduled analytics delivery.
• Apply architectural best practices while actively developing software, ensuring solutions are scalable, maintainable, and aligned with business needs.
• Partner with product, engineering, AI, and analytics teams to translate requirements into implemented platform features.
• Establish and evolve integration patterns for identity, data access, visualization layers, and extensibility frameworks.
• Develop reusable components and frameworks that accelerate feature delivery and improve developer productivity.
• Ensure platform implementations adhere to security, data protection, and access control best practices.
• Proactively identify technical risks and address performance, stability, and reliability concerns through hands-on solutions.
• Provide technical leadership and mentorship to junior and senior engineers through code reviews, design discussions, and shared ownership of platform components.
• Stay informed on emerging analytics platform and embedded BI trends to guide ongoing platform improvements.
• Perform other duties and responsibilities as assigned to support the broader goals of the team and organization.

What you’ll bring (Qualifications)

• Experience: 8+ years in software or analytics engineering with deep experience delivering ABI platforms or data-driven applications.
• Demonstrated experience embedding or extending modern ABI platforms to support product use cases, especially for client-facing applications.
• Strong backend and frontend engineering skills, especially in Python and JavaScript/TypeScript-based environments.
• Deep knowledge of data modeling, querying (SQL), and connecting analytics platforms to modern data warehouses (e.g., Snowflake, BigQuery).
• Experience with authentication/authorization integration, multi-tenancy, and performance tuning in analytics applications.
• Cloud platform experience (AWS, Azure, or GCP) and familiarity with containerized deployments (Docker, Kubernetes).
• Proven ability to lead technically through direct contribution, collaboration, and mentorship.
• Strong communication skills and the ability to work effectively across cross-functional teams.
• Protect and take care of our company and member’s data every day by committing to work within our company ethics and policies.
• A high degree of personal accountability and trustworthiness, a commitment to working within Quantum Health’s policies, values and ethics, and to protecting the sensitive data entrusted to us. 

Nice to Have

• Experience with headless BI or composable data product architectures.
• Background in healthcare, healthtech, or another regulated industry.
• Exposure to AI/ML integration and enabling LLM-driven insights in analytics environments.

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