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 human. We want to know what really works, what doesn’t—and why.

Nuna partners with healthcare payers, including government agencies and health plans, to turn data into learnings and information into meaning.

YOUR TEAM

We build technology to enable users (from data scientists to analysts to policy-makers) to understand healthcare data while ensuring its integrity, security and privacy. Our work runs the gamut from joining streams of messy real-world data to building queryable data warehouses to constructing visualizations and dashboards that provide actionable insight. We build systems that are auditable, automated, an accurate representation of the underlying data, and, most importantly, responsive to our end users’ needs. We strive for a creative, collaborative engineering environment that implements best practices of peer review, readability, maintainability, and security of the code base and infrastructure.

The Nuna PDK Engine (Program Development Kit) team is responsible for building the rules-based engine to configure the logic our customers use to drive improvements in Value Based Care. We work closely with health data experts to combine engineering excellence with healthcare knowledge to accommodate our customer’s diverse data. We integrate with large datasets and orchestrate processing from both scheduled pipelines and user-triggered runs. We measure our products’ success by how much they improve care and lower costs.

YOUR OPPORTUNITIES

In this role, you will:

• Build products that change the dynamics and incentives of the healthcare industry, changing a zero-sum game of competition between payers and providers into patient-centered collaboration
• Build interactive features including predictive analytics and dynamic modeling for our customers to gain insight into ways to improve
• Build the engine that will enable data scientists to build, iterate, and deploy analytics as code
• Manage our high stakes production environment, ensuring high availability/low latency and protecting our sensitive data with rigorous security
• Mentor more junior engineers and, in turn, learn from more senior engineers, because we are learners, not knowers, and growing Nuna’s people is the most reliable way to scale our impact
• Work as part of a team, not in a silo - at Nuna, we rise by lifting others!

QUALIFICATIONS 

Required Qualifications

• 5+ years of experience
• Experience with Java or Scala
• Experience with deeply understanding business logic and domain specific data models to build algorithms that solve hard problems
• Experience building Spark jobs, as well as profiling and debugging them
• Experience building production-hardened data pipelines, with consideration for performance, scalability, reliability, and repeatability
• Familiarity with orchestration tools like Airflow or Prefect
• Experience rapidly prototyping new product concepts, especially for enterprise clients
• Understanding of data testing concepts and the ability to consistently apply them
• Knowledge of database fundamentals like indexing and SQL queries
• Experience managing production services and designing smooth deployment processes, ideally in AWS

Preferred Qualifications

• Experience with Python
• Experience developing and contributing to a domain specific language (DSL)
• Experience building restful APIs

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, paid time off, including vacation and sick leave. The expected salary range for this position is $165,000 to $230,000. 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.