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SafeRide Health is seeking a Data Engineer or Senior Data Engineer with healthcare encounters experience to own and build out the company's encounters data workflows. This is a key risk-mitigation hire that will create clear accountability for building encounter files, moving data to and from external partners, processing responses, and measuring performance.
In this role, you will own the technical encounters workflow and reduce single-point-of-failure risk by building encounter files and scalable pipelines for delivery to third parties. You will ingest and process response files and create systems to measure encounter performance. Using SQL and Python, you will develop, automate, validate, and troubleshoot data workflows. You will partner with internal teams to improve encounter completeness, accuracy, and timeliness.
Success in this role means owning the Encounters Solution Architecture and implementation, creating reliable systems for outbound encounter files and inbound response processing, and improving measurable encounter completeness, accuracy, and timeliness.
SafeRide Health is a technology and services company committed to eliminating transportation barriers to healthcare. By combining a proprietary tech platform with a nationwide network of vetted transportation providers, the company empowers payers and health systems to deliver smarter, more reliable non-emergency medical transportation. The platform supports the nation's largest Medicare Advantage, Medicaid, and provider programs.
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
PREFERRED QUALIFICATIONS:
- 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
