Senior Product Engineer, Data Applications

Location: Remote (U.S.) or NYC hybrid (preferred)
Employment: Full-time
Reports to: Head of Engineering

Company Overview

Our client is a healthcare data and AI company developing an integrated data, analytics, and workflow platform for value-based care organizations. The company helps physician groups, accountable care organizations (ACOs), and health systems achieve financial and clinical excellence by uniting practice data, performance insights, and workflow intelligence in one seamless environment.

The platform parses, normalizes, and connects data across fragmented systems—including EHRs, payers, CRMs, and qualitative sources—so practice leaders can make informed decisions that improve outcomes and drive sustainable growth.

Join the team in transforming how healthcare organizations operate, make decisions, and care for patients.

Position Overview

We’re seeking a Senior Product Engineer, Data Applications to own the product layer where data meets decision-making. You’ll build data-powered applications that surface intelligence directly to users, including performance-management tools, interactive reporting, scorecards, and next-generation analytics experiences.

This is a full-stack, product-oriented engineering role. You’ll design and implement end-to-end solutions—including data models, APIs, and UI components—that bring the platform’s insights to life for practice leaders. You’ll work closely with engineering leadership, product, and analytics teams to transform complex healthcare data into intuitive, high-impact tools.

You’ll thrive here if you’re as excited about what you build as why you’re building it. The ideal candidate understands product trade-offs, can shape features based on user requirements, and enjoys turning messy data into meaningful, elegant applications.

In this role, you will work with a lean, highly skilled team of three other engineers led by the Head of Engineering.

Key Responsibilities

• Own the data-to-application layer: Design, build, and maintain data-driven applications such as performance dashboards, scorecards, and analytics workbenches.

• Architect end-to-end features: Connect backend models, APIs, and frontend components to deliver interactive insights within the platform.

• Collaborate with product and analytics: Translate user needs and clinical and financial metrics into intuitive visualizations and actionable interfaces.

• Advance in-app intelligence: Integrate data pipelines, LLM-generated insights, and healthcare analytics into user-facing performance, workflow, and analytics modules.

• Uphold scalability and quality: Design for maintainability, reusability, and performance while implementing testing and observability to ensure reliability.

• Contribute to design and UX: Work with designers to create cohesive, user-friendly experiences that communicate complex data clearly.

• Champion engineering excellence: Establish best practices, documentation, and component libraries for future applications.

• Leverage modern AI-assisted tooling: Use LLMs to accelerate development, code review, and refactoring while maintaining rigorous standards.

Qualifications

• Six or more years of professional experience building production web applications across the frontend and backend.

• Strong proficiency in Python, Django/DRF, Vue, and SQL, along with experience in data visualization frameworks and API design.

• Experience designing or consuming data models and ETL pipelines using Snowflake, dbt, or similar technologies.

• Proven ability to translate product requirements into technical architecture and deliver polished, high-impact user experiences.

• Familiarity with healthcare, analytics, or enterprise SaaS environments.

• Clear communication and cross-functional collaboration skills, with the ability to work directly with product and company leadership.

Preferred Qualifications

• Experience with healthcare or value-based care analytics, EHR data, or claims data models.

• Experience integrating LLM-driven insights, AI-based summarization, or contextual intelligence into applications.

• Strong understanding of data visualization principles and UX for analytics products.

• A background spanning both engineering and product management, such as technical product management, full-stack data applications, or a similar hybrid role.

• Previous experience in an early-stage or high-growth startup environment.

What We Offer

• Competitive compensation of $170,000–$190,000, plus equity and benefits.

• The opportunity to shape the company’s data-application architecture and own a critical technical domain.

• A collaborative, high-autonomy culture with direct access to founders and senior engineers.

• Mission-driven work building systems that directly affect how healthcare practices care for patients and succeed in value-based care.