Staff Data Engineer

• ⚡ Staff Data Engineer
• 💼 HealthTech, Data Analytics
• 🌍 Remote
• 💰 $170,00 - $185,000 + quarterly bonus

A high-growth health data organization seeks a Staff Data Engineer to lead critical ingestion and pipeline architecture focused on protected health information (PHI). This role is vital for developing and maintaining secure, reliable, and scalable data pipelines that support clinical benchmarks and performance improvement. You will work closely with leadership to design innovative solutions that ensure data integrity, privacy, and automation within a cutting-edge, AI-assisted development environment.

• The Role
• This role exists to own and optimize our PHI data pipelines, from ingestion to processing, ensuring compliance and operational excellence. You’ll collaborate with technical and product teams to shape our architecture, troubleshoot complex issues, and refine our ingestion lifecycle—empowering impactful health insights through sophisticated data engineering.

Key Responsibilities:

• Design, build, and operate pipelines handling sensitive patient data using modern orchestration and cloud platforms.
• Lead end-to-end ingestion processes, including validation, enrichment, masking, and audit, ensuring robustness and automation.
• Implement enterprise-grade observability and data-ops automation, transforming manual tasks into automated workflows.
• Collaborate with cross-functional teams and review system architecture, maintaining high standards of security and performance.
• Drive innovation in data pipeline design, employing AI tools to enhance engineering efficiency.

Requirements / Who We’re Looking For:

• Expert Python skills in production data environments.
• Strong experience with data ingestion lifecycle, validation, and failure recovery.
• Proficiency with modern orchestration tools (Dagster, Airflow, or similar).
• Hands-on Kubernetes deployment and operation experience.
• Healthcare data literacy, including familiarity with clinical registries, EMR/EHR systems, and HIPAA compliance.
• Deep SQL knowledge and experience optimizing query performance.
• Authorized to work in the US without sponsorship.
• Preferred: experience with patient identity resolution, cloud platforms (Azure), and data lakehouse stacks.

• Why Apply?
• Take ownership of high-impact health data systems with genuine autonomy.
• Collaborate with innovative engineers and leaders shaping a vital industry.
• Grow your expertise with AI-assisted development and cutting-edge cloud architecture.
• Be part of a mission-driven team making a meaningful difference in healthcare quality and access.
• Experience flexible, remote work empowering your best performance.