Data Engineer
Tasks
- Build and maintain data infrastructure
- Contribute to data platform architecture and strategy
- Design scalable data pipelines
- Develop dashboards and analytics
- Enable AI workflows with reliable structured data
- Implement alerting frameworks
- Model healthcare business domains
- Optimize data systems for performance
- Transform data into analytics ready schemas
Perks/Benefits
- Direct exposure to leadership
- Equity
- High ownership
- High-impact work
- Hybrid work environment
- Leadership exposure
Skills/Tech-stack
Airflow | Amazon Redshift | DBT | Dagster | Data Lakes | Data Modeling | Data Pipelines | Data Quality | Data Transformation | Data Warehousing | Databricks | Dimensional Modeling | EDI | ELT | ETL | FHIR | Google BigQuery | HL7 | Healthcare Data | Real Time | Real-time Processing | SQL | Snowflake | Streaming Data | Streaming data pipelines | Time processing
Education
N/A
Roles
Regions
Countries
States
Cities
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