Data Engineer Focused on AI-Driven Analytics for Healthcare

Elevate your career as a Data Engineer committed to transforming global health. Work in a remote-first capacity to optimize our advanced data systems and support AI-enhanced decision-making.

This role involves owning and refining the data stack to ensure reliable and actionable insights. You will collaborate with teams to establish robust ELT / ETL pipelines while monitoring data quality and enhancements to AI-assisted tools. Excellence in communication and documentation will be key to success in this position.

Key Responsibilities :

• Own and evolve the data stack, including Snowflake and Rivery
• Design and maintain ELT / ETL pipelines for analytics
• Implement proactive data quality monitoring and alerts
• Partner with team leads on AI-related data improvements
• Maintain seamless integrations with systems like Stripe

Requirements :

• 5+ years’ experience in data or analytics engineering
• Expertise in SQL and data tools such as Stitch
• Proficient in Python for automation tasks
• Experience with large-scale pipeline optimizations
• Strong competency in documenting technical processes

Contribute to the future of healthcare analytics by ensuring quality data and innovative AI solutions.

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