Staff Software Engineer - PDK Engine

In Nuna Engineering, 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, as automated as possible, 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 are building for the long term with a focus on increasing engineering and analytic velocity across Nuna by maintaining standardized development and deployment infrastructure tooling.  We ensure enterprise-grade stability and startup-grade velocity by maintaining a well-tested code base and infrastructure that is secure-by-default. 

The PDK Engine team is responsible for developing and maintaining the framework used to configure, execute, review and publish our customer’s programs and contracts.  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. As an engineering-led culture, you will be at the vanguard of making healthcare work for all Americans. Today, you’ll be helping hospitals improve quality of care, enabling health plans to pay for quality-of-care not quantity-of-care, and matching patients to optimal doctors. Tomorrow, you’ll be creating even bigger and better products to shape this industry.

• You’ll 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.
• You’ll put data science magic (like predictive analytics and dynamic modeling) into our users’ hands through interactive features in collaboration with data scientists. 
• You’ll build the engine that will enable data scientists to build, iterate, and deploy analytics as code.
• You’ll manage our high stakes production environment, ensuring high availability/low latency and protecting our sensitive data with rigorous security.
• You’ll identify big opportunities to improve our technology and our products, blazing trails through ambiguity.
• You’ll 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.
• You’ll work as part of a team, not in a silo. At Nuna we rise by lifting others.

As a data platform team, we need a wide array of skills as a whole. No single engineer needs to cover every single dimension, so don’t take this as a literal requirements checklist. We're excited to talk with you if you bring some or all of the following:

• Experience with rules-based engines that lets internal and external users define business logic in a controlled fashion.
• Experience developing and contributing to a domain specific language (DSL)
• 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.

• Java, Scala, Python, SQL, testing tools, build tools (Bazel, poetry)
• Spark, Prefect, JupyterHub, k8s
• Linux, OS X 
• AWS, Terraform and Vault

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.