SafeRide Health

Data Engineer - Healthcare Encounters

SafeRide Health United States · $80K–$150K/yr

Hospitals and Health Care · 501-1,000 employees

5 d ago
Remote data-engineer Mid (2-5 yrs) Full-time United States
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About the role

Design and implement scalable data models and reporting solutions across various healthcare data domains. Build and optimize data pipelines while partnering with stakeholders to translate business requirements into technical solutions.

What they look for

SQL Python Data modeling Data warehousing Star-schema modeling AWS Redshift Athena Airflow Healthcare analytics Data pipelines Reporting architecture KPI reporting Data quality Automation

Requirements

Requires a bachelor's degree in a technical field and at least 3 years of professional experience with SQL and Python. Candidates must have strong data warehousing expertise and experience within the healthcare industry.

Benefits

Competitive salary Annual bonus opportunities Remote work Flexible hours Health insurance Dental insurance Vision insurance 401(k) with company match Generous PTO Paid company holidays Paid parental leave

Full description

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 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

What Success Looks Like:

  • Build a scalable Data Warehouse Data Model and reporting foundation
  • Establish a dashboard catalog and support KPI design and delivery
  • Improve measurable data quality and create reusable solutions across business domains

Benefits:

  • Competitive salary and annual bonus opportunities
  • Remote with flexible hours
  • Comprehensive health, dental, and vision insurance
  • 401(k) with company match
  • Generous PTO, 10 paid company holidays, and paid parental leave
  • Career growth opportunities in a mission-driven organization

About Us:

Our platform supports the nation’s largest Medicare Advantage, Medicaid, and provider programs - improving health outcomes and patient experiences at scale.

SafeRide Health is a technology and services company committed to eliminating transportation barriers to healthcare. By combining our proprietary tech platform with a nationwide network of vetted transportation providers, we empower payers and health systems to deliver smarter, more reliable non-emergency medical transportation.

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