Data Analytics Engineering
Sage Care Inc· Engineering
Hybrid (HQ)$120k - $145kFull-timePosted 2mo ago
About the role
Role focused on building analytics infrastructure and tooling for the matching pipeline, extracting insights from real patient data, and designing metrics to improve the product.
Responsibilities
- Build and design analytics tooling and pipelines
- Build dashboards that surface metrics and insights to partners, the business team, and internal stakeholders
- Build the pipelines that connect metrics from services to dashboards
- Build offline analysis tooling to understand aggregate and large-scale impacts of services
- Help design and implement new metrics that assess performance and how to improve services
- Establish metrics of quality to hill climb on to improve algorithms
Qualifications
- 2+ years of data analytics and engineering experience
- Experience building dashboards and UIs that monitor live data using Grafana
- Data engineering experience piping metric data from live services
- Strong experience in an object-oriented language (e.g. Python, Java, JavaScript)
- Strong backend engineering skills and systems thinking
Skills
Required:Data analytics and engineeringDashboard and UI developmentData pipelinesBackend engineering
Benefits
- Offers Equity
- Compensation: $120K – $145K
Last updated Aug 27, 2026. Interested? Apply on the company site.
About Sage Care Inc
AI-powered care navigation, built for health systems
Empowering smarter healthcare decisions with AI.
healthcareAIcare navigationpatient supportclinical copilotprovider matching
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