Senior Data Engineer

About the role

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

The Senior Data Engineer is responsible for designing, developing, implementing, and maintaining scalable data pipelines and enterprise data solutions that support the organization's operational, analytical, and reporting needs. This position oversees the ingestion, transformation, integration, and delivery of complex data from multiple sources to ensure the availability, reliability, and integrity of enterprise data assets. The Senior Data Engineer collaborates with cross-functional stakeholders to develop modern data architectures, optimize data processing workflows, and enhance platform performance using industry best practices and cloud-based technologies. This role provides technical leadership in advancing the organization's data infrastructure, supporting data governance initiatives, and delivering high-quality data solutions that enable informed business decision-making.

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, transformation, and orchestration leveraging cloud-native and open-source tools.

- Data Infrastructure and Performance Optimization:

- Optimize data storage and processing in data lakes and cloud data warehouses (Azure, Databricks).

- Develop and monitor batch and streaming data processes to ensure data accuracy, consistency, and timeliness.

- Maintain documentation and lineage tracking across datasets and pipelines to support transparency and governance.

- Collaboration and Stakeholder Engagement:

- Work cross-functionally with analysts, data scientists, software engineers, and business stakeholders to understand data requirements and deliver fit-for-purpose data solutions.