Data Engineering Lead
SuperDial(27 days ago)
About this role
The Data Engineering Lead at SuperDial is responsible for the end-to-end ownership and scaling of the company's data platform, including the data warehouse, pipelines, and analytics workflows that support product decisions and strategic planning. This role requires expertise in dbt for data transformations, strong SQL skills, and experience with data orchestration tools to ensure reliable, decision-ready data. The lead will collaborate with product and platform teams to optimize data quality and provide actionable insights through high-impact dashboards and analyses. Additionally, the role includes establishing a scalable architecture and strategy for analytics engineering as the company grows.
Required Skills
- Data Platform Ownership
- Data Warehouse Management
- Analytics Workflows
- dbt Development
- Data Pipeline Design
- Workflow Management
- Data Modeling
- Dashboard Creation
- Data Quality Checks
- Best Practices Establishment
+6 more
About SuperDial
www.superdial.aiSuperDial is a leading voice AI platform specifically designed for healthcare revenue cycle management (RCM) teams. It automates critical tasks such as eligibility checks, prior authorizations, claim status inquiries, credentialing, and enrollment, significantly reducing manual efforts and improving efficiency. With a focus on seamless integration into existing EHR and RCM software, SuperDial aims to streamline workflows and improve patient interaction through scalable technology solutions. The company recently raised $15M in Series A funding to enhance its capabilities and expand its reach within the healthcare industry.