Data Engineer - Healthcare Analytics

SafeRide Health is a technology and services company focused on eliminating transportation barriers to healthcare through technology and transportation networks. The Data Engineer or Senior Data Engineer will build scalable data models, pipelines, reporting architecture, and data-quality solutions across healthcare and enterprise data domains using SQL and Python.

Responsibilities:

• 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

Requirements:

• 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 workflow orchestration tools like Airflow
• Experience building data solutions in a high-scale or high-expectation engineering environment
• Demonstrated ownership and ability to design and implement solutions in a rapidly transforming environment
• Healthcare Industry experience