Senior Data Engineer

Confirmed live in the last 24 hours

Care Access

USA Remote

Remote

Posted April 6, 2026

Job Description

About Care Access

Care Access is working to make the future of health better for all. With hundreds of research locations, mobile clinics, and clinicians across the globe, we bring world-class research and health services directly to communities that often face barriers to care. We are dedicated to ensuring that every person has the opportunity to understand their health, access the care they need, and contribute to the medical breakthroughs of tomorrow.

With programs like Future of Medicine, which makes advanced health screenings and research opportunities accessible to communities worldwide, and Difference Makers, which supports local leaders to expand their community health and wellbeing efforts, we put people at the heart of medical progress. Through partnerships, technology, and perseverance, we are reimagining how clinical research and health services reach the world. Together, we are building a future of health that is better and more accessible for all.

To learn more about Care Access, visit www.CareAccess.com.

How This Role Makes a Difference

We are seeking an experienced and detail-oriented professional to join our team as a Senior Data Engineer. In this pivotal role, you will be responsible for designing, developing, and maintaining robust data pipelines that ensure the reliable ingestion, transformation, and delivery of complex data (demographics, medical, financial, marketing, etc.) across systems. The ideal candidate will bring deep expertise in Databricks, SQL, and modern data engineering practices, along with strong collaboration skills to help drive excellence across our data infrastructure.

How You'll Make An Impact

Data Engineering Strategy and Architecture: 
- Design and implement scalable, reliable, and efficient data pipelines to support clinical, operational, and business needs. 
- Develop and maintain architecture standards, reusable frameworks, and best practices across data engineering workflows. 
- Build automated systems for data ingestion, transforma