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Form of workThe Nuna Data Serving Team is responsible for maintaining the database and datawarehouse that support all customer-facing data queries, in addition to all APIs that support our UI and adhoc customer querying. This role is a backend role, but any frontend experience could be beneficial as the team directly powers the Nuna's web UI. This team works closely with healthcare data experts to design schemas that allow our users to see the critical information they need. This is a central team to Nuna's success and will have a direct impact on the healthcare industry.
YOUR OPPORTUNITIESIn this role, you will play a pivotal role in shaping and executing our overall architecture and strategy. You will have the opportunity to collaborate with a highly skilled team of engineers and health data experts. Your work will directly impact our ability to provide critical data to our customers in a format that they can understand and rely on. Your responsibilities will include:
- Building performant, well-documented, scalable APIs that can answer the complex questions our users have about their data
- Developing a versioning strategy for our data that allows our team to satisfy audits and offer a consistent experience for our users, handling restatement, versioning, and reconciliation of payments.
- Mentoring other engineers and building an exceptional team engineering culture, where all voices are respected and heard
- Partnering with other lead engineers to design systems to solve our complex use-cases
- Designing schemas in partnership with the data engineers and health data experts that can quickly serve results and generate reports
- Building a well-tested, continuously-deployable, and high-quality codebase that supports developer velocity and exceptional reliability
- 8 years of experience in Software Engineering with a focus on backend software development
- Proficiency in programming languages such as Python, Javascript, Typescript, Go, Kotlin, or Java
- Deep understanding of data storage and retrieval technologies in both relational and NoSQL databases
- Ability to diagram, articulate, and document data science and engineering concepts
- Experience partnering with product management and other cross-functional stakeholders and mentoring more junior engineers
- Experience with data modeling, ETL processes, and data warehousing
- Experience with cloud technologies in AWS as well as container systems such as Docker or Kubernetes
- Experience with data processing frameworks and tools, e.g. Apache Spark or similar
- Experience with data in healthcare, fintech, or other similar industries
- Experience working on compliant and secure systems, in partnership with audit, legal, and security
- Experience with Data quality tooling
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.
