About the Role
This role leads the development and optimization of data infrastructure, ensuring reliable access to high-quality data for analytics, machine learning, and operational reporting across diverse healthcare initiatives.
Responsibilities
- Design and implement robust data pipelines for large-scale datasets
- Ensure data accuracy, consistency, and accessibility across platforms
- Collaborate with analytics and product teams to define data requirements
- Optimize data storage and retrieval performance
- Support integration of data from multiple clinical and operational sources
- Develop and maintain ETL workflows with monitoring and error handling
- Apply data modeling techniques to support business intelligence needs
- Improve data governance and metadata management practices
- Troubleshoot and resolve data quality issues promptly
- Evaluate and adopt new data technologies and tools
- Document data architectures and system designs
- Mentor engineers and contribute to technical standards
- Ensure compliance with data privacy and security policies
- Scale infrastructure to meet growing data demands
- Work with cloud-based data platforms and services
- Automate routine data engineering tasks
- Participate in code reviews and system design discussions
- Support real-time and batch data processing needs
- Maintain high availability and reliability of data systems
- Contribute to disaster recovery and data backup strategies
- Align data solutions with enterprise architecture goals
- Drive improvements in data observability and monitoring
- Collaborate on cross-functional initiatives involving data
- Promote reusable data components and patterns
- Respond to evolving business requirements with agile data solutions
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid work model available
Team
Collaborative engineering and data science environment
About the Team
- This role is part of a high-impact data team working at the intersection of healthcare delivery and technology innovation.
- Engineers here contribute directly to improving patient outcomes through better data infrastructure.
Growth and Development
- Opportunities for technical leadership and advancement are built into the team structure.
- Regular knowledge-sharing sessions and access to training support continuous learning.
Sponsorship available for qualified candidates
