Senior Data Engineering Manager
Tasks
- Architect data flows and data models
- Build and improve scalable data pipelines
- Build automated QA controls
- Create validation checks and monitoring systems
- Design and guide data pipeline architecture
- Develop production datasets and analytical models
- Implement data quality and observability frameworks
- Lead and coach data engineers
- Partner with technical product managers to plan scalable execution
- Respond to incidents and support production reliability
- Use AI coding tools to accelerate development and documentation
Perks/Benefits
- 401k match
- Flexible vacation
- Flexible work hours
- Learning reimbursement
- Parental leave
- Team events
- Wellness budget
Skills/Tech-stack
Apache Airflow | Data Modeling | Data Observability | Data Quality | Databricks | Debugging | Distributed Systems | ETL | Monitoring | Pipeline Orchestration | PySpark | Python | SQL | Validation
Education
N/A
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