Data Engineer - Healthcare Encounters

SafeRide Health is hiring a Data Engineer to own healthcare encounters data workflows. The role builds and operates encounter file pipelines, processes partner responses, measures performance, and works with internal teams to improve data completeness, accuracy, and timeliness.

Responsibilities:

• 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
• Own the Encounters Solution Architecture and implementation
• Create reliable systems for outbound encounter files and inbound response processing
• Improve measurable encounter completeness, accuracy, and timeliness

Requirements:

• 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
• Demonstrated ownership and ability to design and implement solutions in a rapidly transforming environment
• Experience with healthcare data exchange, external submissions, response processing, or performance measurement
• Direct encounters experience within a payer, state agency, healthcare organization, or comparable environment
• Ability to take end-to-end ownership of an operationally critical data workflow