Senior Data Engineer (Python/SQL/Spark/AWS) - Remote

Overview

This position is posted by Jobgether on behalf of Darwoft. We are currently looking for a Senior Data Engineer (Python/SQL/Spark/AWS) in Latin America.

Join a high-impact, remote-first team working at the forefront of healthcare data integration. As a Senior Data Engineer, you’ll design and optimize data pipelines that connect critical healthcare systems, driving real-time insights and patient-centered outcomes. You'll work across both modern and legacy architectures to build scalable, secure, and reliable solutions in the cloud. If you're passionate about clean data, meaningful tech, and cross-functional collaboration, this is a great opportunity to shape data-driven healthcare innovation.

In Short

• Design and implement ingestion pipelines for healthcare claims and clinical data using modern tools.
• Perform code reviews, unit testing, and debugging to maintain high code quality and performance.
• Collaborate with engineering and product teams to improve data architecture and integration flows.
• Enhance and maintain legacy data connectors while developing scalable new solutions.
• Document pipelines and processes to ensure clarity and ease of maintenance across teams.
• Participate in Agile ceremonies such as sprint planning, grooming, and demos.
• Contribute to cross-functional initiatives to boost development speed and delivery consistency.

Requirements

• Proven experience as a Data Engineer with strong expertise in Python, SQL, and Spark.
• Experience working with AWS cloud services.
• Familiarity with healthcare data standards and integration processes.
• Strong problem-solving skills and attention to detail.
• Ability to work collaboratively in a remote team environment.
• Experience with Agile methodologies.

Benefits

• Work remotely in a high-impact team.
• Opportunities for professional growth and development.
• Contribute to meaningful projects in healthcare.
• Flexible working hours.