Lead Data Engineer

At Nuna, our mission is to make high-quality healthcare affordable and accessible for everyone. We are dedicated to tackling one of our nation’s biggest problems with ingenuity, creativity, and a keen moral compass. Nuna is committed to simple principles: a rigorous understanding of data, modern technology, and most importantly, compassion and care for our fellow humans. We aim to understand what really works, what doesn't—and why.

Your Team
Join an interdisciplinary group spanning data science, machine learning, data analytics, actuarial science, and data engineering. Be part of the larger team building Nuna’s Patient and Provider products, focusing on rewarding patients for healthy behaviors as they manage chronic disease.

The team is responsible for:

• Evaluating impact and developing algorithmic and quantitative features across these products.
• Bringing analytical rigor to product definition, monitoring, and evaluation.
• Design, development, and evaluation of predictive algorithms.
• Maintaining and expanding a flexible Data Platform.
• Fostering a culture of internal review and collaboration.

We work closely with engineering, product, design, and account management teams.

Your Opportunities
We are looking for someone excited to use their expertise in building scalable data engineering solutions to make a difference in healthcare. You will have the opportunity to play a foundational role in the success of a burgeoning product at Nuna and shape the data engineering function. The Data Platform supports multiple data products across analytics, experimentation, model serving, and more.

Responsibilities include:

• Contributing to and expanding upon the architecture of a growing Data Platform.
• Establishing data engineering and software best practices in the team.
• Hands-on development of Data Platform capabilities - e.g., writing code to ingest and transform complex data sources, maintaining deployment processes.
• Articulating pros and cons of competing tools to inform choices and build vs. buy decisions.
• Serving as a mentor for team members in code quality and review.
• Working closely with data scientists, analysts, and actuaries to identify opportunities to improve workflows and increase overall efficiency.

Qualifications

Required Qualifications:

• BS/MS in a quantitative field (e.g., Computer Science, Engineering) + 10 years of engineering/equivalent experience.
• 7+ years of experience building systems that manage the ingest, transformation, and management of multimodal data types.
• Deep knowledge of modern data infrastructure best practices.
• Proficiency with tools spanning: AWS S3, Terraform, Airflow, Glue / Unity catalog, pytest, spark/pyspark, Python, SQL (or analogous).
• Experience with data governance, traceability, etc.
• Proficiency with cloud platforms (AWS preferred).
• Experience in a zero-to-one setting.
• Interest in improving healthcare and working with interdisciplinary project teams.
• Clear communication and presentation skills.

Preferred Qualifications:

• Experience with Databricks product suite, especially Unity catalog.
• Experience in a HIPAA-compliant environment.
• MLOps experience.

We take into account an individual’s qualifications, skillset, and experience in determining final salary. This role is eligible for health insurance, life insurance, retirement benefits, participation in the company’s equity program, and paid time off, including vacation and sick leave. The expected salary range for this position is $188,000 to $273,500. The actual offer will be at the company’s sole discretion and determined by relevant business considerations, including the final candidate’s qualifications, years of experience, and skillset.

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.