YOUR TEAM

• 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 Backend Engineering team is responsible for building the APIs, database schemas and business logic to power our apps. We work with the output of Nuna’s Data Platform, turning large datasets into innovative and highly reliable APIs. Our APIs are bringing new capabilities to healthcare - like understanding the impact of quality improvement in real time on large amounts of data. 

• We are building for the long term with a focus on increasing engineer velocity across Nuna by maintaining standardized development and deployment infrastructure tooling for all of Nuna’s application development. We ensure enterprise-grade stability and startup-grade velocity by maintaining a well-tested code base and infrastructure that is secure-by-default.

YOUR IMPACT

• Business Intelligence Software Engineering builds the backbone of every product our users interact with. 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.

YOUR OPPORTUNITIES

• You’ll optimize complex SQL stored procedures, scripts, functions, and other BI components for best performance.

• You’ll design, build and implement ETL scripts & pipelines, Business Intelligence reports, and data visualizations & dashboards.

• You’ll integrate embedded views or business intelligence software into our web applications.

• You’ll design and implement authentication, authorization, and other data security models and policies among our services.

• You’ll efficiently troubleshoot and resolve production issues through analysis and review of data flow and transformation logic

• Routine and advanced data query and analysis activities and projects using available data tools for month close validation and ad-hoc data reporting requests

• Define and implement data quality processes to monitor and detect data quality issues

• 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 the Data Engineering & Data Science teams.

• You’ll design APIs and service architectures that multiply the effectiveness of internal and external developers serving millions of patients.

• 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

YOU BRING

As a backend engineering 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:

BONUSES

• Experience in data visualization software or business intelligence

• Experience in data lakes, data warehouse, or data mart

• Experience in star schema data modeling and analytic databases

• Experience in integrating business intelligence software or embedded views to websites and web applications

• Experience in authentication and authorization with external business intelligence software

• Experience in Self-Service Business Intelligence (SSBI) tools

• Experience in integrating Sisense with web services

• Experience in working with health care data in Business Intelligence tools like Sisense

• Experience building production-hardened web services, with consideration for security, performance, scalability, reliability, and repeatability. Familiarity with application server frameworks like Django

• Experience with API design that lets us build composable APIs and libraries to solve many different needs

• Experience rapidly prototyping new product concepts, especially for enterprise clients

• Understanding of automated testing concepts in web apps and the ability to consistently apply them

• Knowledge of database fundamentals like indexing, SQL queries, schema migrations, and managing backups

• 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 $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.