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Senior 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 is committed to simple principles: a rigorous understanding of data, modern technology, and most importantly, compassion and care for our fellow human. We want to know what really works, what doesn't—and why.
YOUR TEAM
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 Value Platform teams are creating a scalable platform to accurately and efficiently implement complex value-based care programs.
YOUR OPPORTUNITIES
In this role, you will:
- 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
- Contribute to design and implementation of data pipeline framework and assist with data analytics/quality
- Manage our high stakes production environment, ensuring high availability/low latency and protecting our sensitive data with rigorous security
- 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
- 5+ years of software engineering experience (Python preferred)
- Experience building production-hardened data platforms with consideration for performance, scalability, reliability and repeatability
- Experience rapidly prototyping new product concepts, especially for enterprise clients
- Understanding of data testing concepts and the ability to consistently apply them
- Experience building Spark jobs, as well as profiling and debugging them
- Knowledge of database fundamentals like indexing and SQL queries
- Familiarity with orchestration tools like Prefect or Airflow
- Experience managing production services and designing smooth deployment processes, ideally in AWS
- Strong oral and written communication skills, keen attention to detail and deadline driven
- Eagerness to dive deep and become a healthcare data expert
Bonus Qualifications
- Domain experience working with healthcare data paired with a passion to connect with, understand, and shape the healthcare industry
Technologies Used at Nuna
- Python, Scala, SQL, testing tools (e.g. pytest), build tools (Bazel, poetry)
- Spark, Prefect, JupyterHub, Kubernetes, AWS EMR, Databricks, Clickhouse
- Linux, OS X
- AWS ECS, RDS, IAM, Lambda; Hashicorp 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 $162,000 to $198,000. 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.
#LI-FK1 #LI-Remote
Nuna is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetics and/or veteran status.
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