Staff Data Engineer

📋 Description

• Design, build, and maintain scalable ETL pipelines and data models to support our analytics and
• Develop robust data integration workflows, enabling seamless data exchange between internal systems
• Optimize and scale cloud-hosted databases and data infrastructure to handle complex healthcare
• Ensure data security and compliance with healthcare industry standards (e.g., HIPAA, HITRUST).
• Collaborate with product, engineering, and clinical teams to define and implement data requirements.
• Create documentation and implement monitoring solutions to ensure data reliability and transparency.

🎯 Requirements

• 7+ years of experience as a data engineer or similar role, with at least several years of
• Strong expertise in SQL and Python.
• Hands-on experience with modern data warehousing technologies (e.g., Snowflake, BigQuery, Redshift).
• Experience with data pipeline and workflow orchestration tools (e.g., Temporal, Airflow, Prefect
• Experience with cloud platforms such as AWS (preferred), GCP, or Azure.
• Solid understanding of data security principles and familiarity with healthcare data compliance