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 Data Platform team is responsible for building the pipeline, tooling, and processing to power our apps. We work closely with our Health Data Engineering and Health Data Analyst teams to combine engineering excellence with healthcare knowledge to accommodate our customer’s diverse data.

YOUR OPPORTUNITIES

• 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
• Identify big opportunities to improve our technology and our products, blazing trails through ambiguity
• 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

• 8 years of experience
• Experience building production-hardened data pipelines, with consideration for performance, scalability, reliability, and repeatability
• Experience with Hadoop and Spark
• Familiarity with orchestration tools like Airflow or Prefect
• Experience with rules-based engines that lets internal and external users define business logic in a controlled fashion
• 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

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 $188,000 to $230,750. 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.