Remote Data Engineer, Healthcare Analytics Platform

SafeRide Inc; Northern (KY); Remote; USD 90,000 - 150,000; Full time

Benefits offered by this job

Remote with flexible hours

Health, dental, and vision insurance

401(k) with company match

Generous PTO and holidays

Job summary

SafeRide Health is seeking a Data Engineer/Senior Data Engineer with healthcare analytics experience to design scalable data models and robust pipelines across encounters, claims, eligibility, rides, and other enterprise domains.

The role emphasizes hands-on data engineering using SQL and Python, building dashboards, KPI reporting, and data-quality measurements to support a growing healthcare platform.

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
• Healthcare Industry experience

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

Skills

SQL

Python

Healthcare analytics

Data warehousing

Star schema

Education

Bachelor’s degree in Computer Science, Engineering, Mathematics, or related technical field

Tools

AWS Redshift

AWS Athena

AWS S3

Airflow

Job description

SafeRide Health is seeking a Data Engineer/Senior Data Engineer with healthcare analytics experience to design scalable data models and robust pipelines across encounters, claims, eligibility, rides, and other enterprise domains.

The role emphasizes hands-on data engineering using SQL and Python, building dashboards, KPI reporting, and data-quality measurements to support a growing healthcare platform.