Navina is a fast-growing digital health SaaS company that’s on a mission to transform the way physicians interact with patient data. Thousands of clinicians across the United States already use Navina’s AI-powered solution that transforms complex and fragmented patient data into concise “patient portraits" and actionable clinical insights at the point of care. With Navina, physicians experience less burnout, reduce missed diagnoses, and can devote more time giving better care to 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 value-based organizations, including Privia Health and Agilon.
We're seeking a talented, versatile, and experienced
Data Engineer to join our Analytics engineering team. The team's primary goal is to develop an analytics product that enables clinics to assess the effectiveness of their treatments, gain valuable insights into their workflows, and enhance their performance.
You will be responsible for the team’s data platform and ETL processes, significantly influencing both product and technical decisions.
Responsibilities:
- Transforming, modeling, and serving Navina’s data in our Analytics product.
- 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.
Requirements:
- 5+ years of experience in software development, with at least 3 years as a data engineer.
- Proven track record in designing and implementing scalable ETL/ELT data pipelines.
- Strong SQL skills.
- Experience with relational and analytical data platforms (e.g., PostgreSQL, Snowflake, data lakes).
- Strong coding skills (preferably in Python), with prior software engineering experience (e.g., API development).
- Experience with cloud environments, AWS preferred.
- Experience with BI tools and data analytics is a plus.
You don’t need to meet 100% of the requirements to be a great fit.
We believe in hiring people, not just checklists, and we value potential as much as experience. If this role excites you, we’d love to see your application!