AI Data Engineer - Early Career
Summary
The AI Data Engineer will design and maintain ETL/ELT pipelines, build dashboards, and manage data models to support AI-enabled automation workflows. The role involves using Python and SQL to ensure data reliability and quality within a healthcare technology environment.
- Build dashboards reports and KPI tracking
- Contribute to AI enabled automation workflows
- Create data documentation
- Design ETL/ELT pipelines
- Improve data reliability
- Maintain data models semantic layers and data warehouses
- Monitor data quality and troubleshoot pipelines
- Participate in agile ceremonies
- Participate in testing monitoring and validation
- Perform code reviews and mentorship
- Perform exploratory data analysis
- Support orchestration and scheduled data processing
- Use AI-assisted development tools
- Validate business metrics
- Write Python and SQL code
Perks/Benefits:
- Career growth
- Inclusive work environment
- Mentorship