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About the Role

Nuna is building an AI health coach to help individuals manage chronic conditions at home. This role involves owning the architecture and direction of the data platform, working closely with data scientists and engineers to build solutions that address real-world needs.

Responsibilities

• Own the architecture and evolution of the data platform, weighing trade-offs across timelines, cost, and resources
• Build and optimize the transformations, pipelines, and datasets that power our analytics and data science work
• Design and maintain integrations with external services
• Define and enforce standards for how data engineering code is developed, reviewed, and deployed
• Establish security, governance, and operational best practices, in partnership with security and enterprise data engineering teams
• Provide build-vs-buy assessments as the platform expands, and surface new opportunities to improve it
• Partner with engineering, design, product, and the wider Data org to turn business needs into working solutions

Requirements

• Deep, hands-on expertise building and maintaining data platforms that support analytics and data science use cases
• A track record designing robust ETL ingestion pipelines from external sources into a data platform
• Experience setting standards for code development, deployment, and contribution in a data engineering environment
• The ability to translate fuzzy business and customer needs into clear requirements and an evaluation framework
• Clear communication and presentation skills, whether the audience is scientists, engineers, or product partners
• A genuine interest in improving healthcare alongside an interdisciplinary team
• 5–10 years of industry experience, including technical leadership of a data platform supporting business operations
• You've built a data platform from zero to one before
• You've worked with healthcare data
• Experience with SDLC and managing machine learning models in production (MLOps)

Skills

• Python
• PySpark
• SQL

Experience Level

• 5-10 years of industry experience
• Technical leadership

Education Level

• Degree in a quantitative field (data science, economics, statistics, engineering, or similar)

Benefits

• Health insurance
• Life insurance
• Retirement benefits
• Participation in the company’s equity program
• Paid time off, including vacation and sick leave

About the Company

• At Nuna, we are building an AI health coach that shows up like a person who actually has time: available at 3am, infinitely patient, and never behind a waiting room.
• We use motivational interviewing to help patients and their families see themselves clearly, design experiments that fit their real lives, and navigate a system that has not historically been on their side.
• We are building from the ground up around a simple belief: patients don't want to be healthy; they want their lives back.
• We're not competing with other health apps. We're competing with the moment a person gives up on getting better.
• The data team at Nuna is an interdisciplinary group spanning data science, machine learning, data analytics, actuarial science, and research.
• Within it, data engineering is the technical backbone which creates the architecture, platform, and operations that everything else is built on.
• You'll work shoulder to shoulder with both scientists and engineers, on a team led by a data scientist.
• That means the platform you build isn't an abstraction: it serves real modeling, research, and analytics needs, and you'll see exactly who depends on it and why.

Equal Opportunity

• Nuna is an Equal Employment Opportunity employer.
• All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetics and/or veteran status.