Software Engineer II, Health Data

YOUR TEAM

Nuna’s product offerings enable delivery of value-based care contracts, at scale across the United States. Value-based healthcare aims to shift reimbursement from fee-for-service to fee-for-value where providers are incentivized to deliver higher quality care to their patients at a lower cost. The mission of the Health Data team within Nuna is to harness healthcare data to support and promote value-based care contracts between health systems, providers, health plans, and other third-party risk bearing entities; incentivize quality, utilization, and patient outcomes.

Operationalizing value-based arrangements has various complexities due to the variability in both contract configurations and measurement of health outcomes. The Software Engineer is accountable for creating automated and scalable tools for the Health Data Analysts to accurately and efficiently implement complex value-based care programs. The Health Data team is also responsible for the comprehension, ingestion, cleaning, and deploying of client data on schedule - ensuring data gets where it needs to go within the company. We care about high value care health care, which is why we highly value quality and consistency down to the detail.

YOUR OPPORTUNITIES

In this role, you’ll have the opportunity to form deep partnerships with a cross-functional team of analysts, engineers and product managers to drive continuous improvement of delivery speed and analytic quality through introduction and adoption of software development and data management best practices. You will be responsible for design, maintenance, improvements and deployment of reusable logic in support of accurate and scalable value-based payment solutions using healthcare driven guidance. You will provide thought leadership to product managers and influence Nuna’s product roadmap with a focus on analytic tooling maturity and scalable healthcare solutions. Finally, you will be a force multiplier for Nuna’s analysts by introducing software development and testing practices tuned to value-based care payment models.

In this role, you will:

• Automate and optimize data pipelines with a focus on logical transformations and statistical models
• Build, maintain and optimize data pipelines using big data technologies
• Consult and support health data analysts in design and deployment of scalable products for healthcare plans and providers
• Participate in the development of industry accepted healthcare data models and rules-based engines

QUALIFICATIONS

Required Qualifications

• 4+ years of technical software development via Python, Spark, SQL, Git Integration, Scala  and testing frameworks
• Experience building production-hardened data pipelines, with consideration for performance, scalability, reliability, and repeatability using orchestration tools like Airflow or Prefect
• Experience building Spark jobs, as well as profiling and debugging them
• 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 with AWS
• Strong oral and written communication skills, keen attention to detail and deadline driven
• A genuine interest to connect with, understand, and shape the healthcare industry

Preferred Qualifications

• Domain experience working with healthcare data such as claims data, membership data, provider data and more
• Familiarity with Value Based Care concepts 
• Experience working at or with health plans or providers

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 $135,000 to $165,000. 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.

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