Staff Data Engineer, LeanTaaS

• The ability to own and lead projects from start to finish in a fast-paced environment
• 8+ years of experience in data engineering or a similar field
• 5+ years of experience with data orchestration tools, like Airflow
• Solid skills in SQL and Python
• Extensive experience in developing and overseeing scalable data architectures and ETL pipelines
• Proficiency with Docker and containerized workflows
• Expertise with AWS services like S3, SQS, and Lambda
• Deep experience with data warehousing and data lake, including relational databases (like MySQL and Redshift) and NoSQL databases (like DynamoDB)

Desirable

• The Data Engineering (DE) team is committed to mastering healthcare data and ensuring seamless, accurate data management across our systems
• We empower users with high-quality data, enabling data-driven decision-making in operating room management
• The DE team plays a key role in both building and supporting our product
• We make sure iQueue for Operating Rooms runs on accurate, reliable data
• Even though our software can handle imperfect data, our users expect precision—so data quality is always our top priority
• As part of the Engineering organization, we work closely with other engineers, product managers, and internal teams to solve complex problems
• This includes handling customer-specific data requirements, optimizing system scalability, and addressing architectural challenges
• Design, develop and maintain secure, scalable, high-performance data pipelines that transform clients’ data into the format used by our product
• Collaborate with engineers, product managers, and analysts, to turn business needs into effective and scalable data solutions
• Collaborate with both internal teams and external customers to resolve complex data issues and ensure data reliability and optimize system performance
• Ensure data quality end-to-end by maintaining high accuracy and consistency when working with complex data systems. Uphold meticulous attention to detail to meet all business and healthcare security requirements
• Stay up to date with emerging technologies, healthcare data standards, and industry best practices. Foster a culture of continuous learning within the team and host knowledge sharing sessions
• Promote adherence to best practices and mentor less experienced engineers within the team