Data Engineer - Healthcare Analytics
- Company
- SafeRide Health
- Location
- Remote, United States
- Salary
- 80 000–150 000 $/yr
- Posted
- 2026-10-11
Skills: SQL, Python, AWS, Redshift, S3, SageMaker, Airflow, Athena, DMS, Glue
About the Role:
SafeRide Health is seeking a Data Engineer or Senior Data Engineer with Healthcare Analytics experience to help build the scalable data foundation behind our growing healthcare platform.
This role will design and implement data models and reporting solutions across encounters, claims, eligibility, rides, and other enterprise data domains.
This is a hands-on engineering role for someone who is advanced in SQL and Python and enjoys solving broad, ambiguous data problems. You’ll help SafeRide Health move from startup-scale solutions toward a durable enterprise data platform.
In this role, you will:
• Design and implement reusable data models across multiple business and healthcare data domains • Build and optimize data pipelines and reporting architecture using SQL and Python • Develop the data foundation for dashboards, KPI reporting, automation, and data-quality measurement • Partner with analysts and business stakeholders to translate requirements into scalable technical solutions • Help establish data warehouse models and standards that can scale as SafeRide Health grows
Required Qualifications:
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related technical field • 3+ years of professional experience building with SQL and Python • Strong data warehousing and data modeling experience, including star-schema modeling and report design • AWS Data Services (Redshift, Athena, S3, DMS, Glue, SageMaker, etc.) • Experience with…
Full text and application on the employer's site.