Senior Data Engineer
Tasks
- Add testing monitoring and observability
- Build operational dashboards for self service analytics
- Build production ingestion pipelines
- Contribute to engineering standards code review and knowledge sharing
- Design and build data visualizations and dashboards
- Design build and operate data pipelines with API ingestion CDC and event driven patterns
- Design data pipeline architecture standards
- Develop analytical and longitudinal data models
- Develop dbt models
- Enable company metrics for care outcomes and operations
- Establish data quality testing and monitoring
- Implement data transformation layers with tests and documentation
- Improve scalability performance and cost efficiency on AWS and Databricks
- Support metric definitions and outcome measurement with Product
Perks/Benefits
- 401k
- Equipment provided
- Equity compensation
- Flexible PTO
- Home office stipend
- Medical/Dental/Vision
- Remote work within United States
Skills/Tech-stack
API | AWS | Airflow | Change Data Capture | DBT | Data Capture | Data Lineage | Data Observability | Data Quality | Databricks | PySpark | Python | SQL | Spark Structured Streaming | Structured Streaming | Workflow Orchestration
Education
N/A
Roles
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