SafeRide Health is a technology and services company dedicated to closing the gap between healthcare need and access through modern, scalable non-emergency medical transportation. SafeRide transforms transportation from a cost center into a strategic lever... Backed by NEA.
About the role
SafeRide Health is seeking a Data Engineer or Senior Data Engineer with Healthcare Encounters experience to take ownership of our encounters data workflows. This role is a key risk-mitigation hire: it will create clear accountability for building encounter files, moving data to and from external partners, processing responses, and measuring performance. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or related technical field
- 3+ years of professional experience building with SQL and Python
- Data warehousing and data modeling experience in a professional environment, 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
More about this role
SafeRide Health is seeking a Data Engineer or Senior Data Engineer with Healthcare Encounters experience to take ownership of our encounters data workflows.
This role is a key risk-mitigation hire: it will create clear accountability for building encounter files, moving data to and from external partners, processing responses, and measuring performance.
- Own the technical encounters workflow and reduce single-point-of-failure risk
- Build encounter files and scalable pipelines for delivery to third parties
- Ingest and process response files and create systems to measure encounter performance
- Use SQL and Python to develop, automate, validate, and troubleshoot data workflows
- Partner with internal teams to improve encounter completeness, accuracy, and timeliness
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or related technical field
- 3+ years of professional experience building with SQL and Python
- Data warehousing and data modeling experience in a professional environment, including star-schema modeling and report design
- AWS Data Services (Redshift, Athena, S3, DMS, Glue, SageMaker, etc.)
- Experience with workflow orchestration tools like Airflow
-...
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