Data Engineer (US Healthcare)

Join our data engineering team to build scalable healthcare analytics infrastructure. Work with US healthcare datasets, design high-quality data models, and power insights with modern cloud technologies.

About the Role

We are seeking an experienced Data Engineer (US Healthcare) to design, build, and optimize scalable data pipelines and analytical infrastructure. You will partner closely with US-based product and analytics teams to transform raw healthcare datasets into high-quality, analytics-ready data models—while ensuring compliance with privacy and regulatory standards.

What You Will Do

• Build and optimize reliable data pipelines for analytics, reporting, and product use cases
• Transform raw healthcare data (claims, eligibility, enrollment, clinical, financial) into curated data models
• Develop reusable, abstracted data layers for consistent analytics and self-service reporting
• Implement data validation frameworks and quality checks
• Partner with analytics and business teams to interpret healthcare data semantics
• Ensure data privacy, security, and HIPAA compliance
• Monitor, troubleshoot, and improve data pipeline performance

Technologies We Use

• SQL, Python
• Microsoft Fabric (Lakehouse, Pipelines, Warehouses)
• Cloud-based warehouses & orchestration tools (Airflow preferred)

What You Will Bring

• 2+ years of data engineering or software engineering experience
• Strong SQL & Python expertise
• Hands-on experience building scalable pipelines and reusable datasets
• Experience with US healthcare datasets
• Strong understanding of data processing, governance, and security
• Cloud data platform experience (Snowflake preferred; PostgreSQL experience beneficial)
• Ability to collaborate with US teams across time zones