Principal Data Engineer

YOUR TEAM

Nuna’s value platform will make payers and providers successful in value-based care arrangements to improve outcomes and lower the cost of care. 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.

As one of the Principal Engineers for Nuna’s Value Platform team 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 create and refine architectural designs integrations and development processes across a team of 40+ engineers. You’ll take a leadership role in defining architecting and building the integrations between Nuna’s value platform third-party provider/population-health-entity systems that will help providers better engage and manage their patients.

YOUR OPPORTUNITIES

In this role you will:

• Drive development of an analyst-friendly data warehouse to support payer and provider users

• Lead the design implementation and orchestration of the supporting data processing infrastructure

• Manage and optimize the data lake architecture

• Provide technical guidance to software development teams training to engineers and vision to executive teams

• Help create an environment in which developers can thrive

• Identify significant opportunities to improve our products and underlying technology blazing trails through ambiguity

• Collaborate with other principal and lead engineers on the overall architecture of our go-forward product

• Align cross functional teams with effective communication and drive company culture with Nuna’s core values

• 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

Required Qualifications

• 10+ years of experience

• Have experience with multiple healthcare data warehouse schemas (e.g. OMOP Clarity etc)

• Experience designing state of art transformations data cleaning matching reports/dashboards  and statistical analysis

• Expertise in synthesizing complex technical requirements designs trade-offs and capabilities into clear decisions and track record of influencing both business and product direction

• Experience scaling complex systems and data pipelines with efficient secure and load tested interactions

• Experience working with executive to intern levels with effective negotiating and influencing skills

• Experience delegating tasks and evaluating performance of projects

• Experience providing creative solutions and offering theories that solve complex problems and create values for our customers

• Experience rapidly prototyping new product concepts especially for enterprise clients

• You’re passionate about data quality and testing

Preferred Qualifications

• Experience with Medicare Advantage

• Hands on with analysis techniques – segmentation regressions clustering data profiling to analyze trends

• Experience implementing applications using FHIR and extending FHIR

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 $223000 to $273250. 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.

#LI-NP1 #LI-Remote