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

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. It is incredibly difficult to operationalize value-based arrangements due to the variability in both contract configurations and measurement of health outcomes. The Health Data Engineering team is accountable for creating automated and scalable tools for analysts to accurately and efficiently implement complex value-based care programs. 

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 and deployment of reusable healthcare-based logic in support of accurate and scalable value-based payment solutions. 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:

• Train 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
• Automate and optimize data pipelines with a focus on logical transformations and statistical models
• Build, maintain and optimize data pipelines using big data technologies

• 6+ years of technical software development via Python, Spark, SQL, Git Integration and testing frameworks
• Domain experience working with healthcare data paired with a passion to connect with, understand, and shape the healthcare industry
• 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
• Strong oral and written communication skills, keen attention to detail and deadline driven

• Experience with Machine Learning concepts such as statistical modeling & diagnostic testing (Continuous + Categorical)
• Experience with AWS
• 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 $114,000-$188,000. 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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