Data Engineer

Navina is a fast-growing digital health SaaS company that’s on a mission to enhance the primary care experience by transforming the way physicians interact with patient data. Our proprietary AI models are specifically designed to understand the language of primary care, transforming complex and fragmented patient data into a concise “patient portrait" and actionable clinical insights at the point of care. This allows physicians to get the full picture of their patients and act on their health status instantly and accurately. Built by physicians for physicians, our AI platform reduces physician burnout, while helping healthcare organizations thrive in value-based care. Thousands of clinicians across the United States are using Navina’s AI-powered clinical intelligence solution to improve preventative care, reduce missed diagnoses, and reclaim time with their patients.

Navina has been named one of the Top 100 AI companies globally by CB Insights, and made the list of the Top 50 Digital Health startups. We are already working with industry leading health systems and value-based organizations including Privia Health and Tampa General Hospital.

Navina is looking for a talented and experienced data engineer to join our data team.

Requirements:

5+ years of experience in software development, with at least 3 years as a data engineer.
Proven track record in designing and implementing data pipeline solutions.
Strong SQL skills
Strong coding skills (preferably in Python)

Responsibilities:

Designing and implementing Navina’s data platform
Transforming, modeling, and serving all Navina’s medical data.
Utilize data best practices, to improve the product and allow data-driven decision-making.
Collaborate closely with cross-functional teams to understand business requirements and translate them into data-driven solutions.
Stay updated with the latest research and advancements in the data field.