Staff Data Engineer
Tasks
- Architect scalable data platforms
- Build and optimize pipelines
- Define engineering standards for CI/CD and testing
- Design and implement distributed processing systems
- Design logical and physical data models
- Establish data ingestion and integration boundaries
- Harden pipelines with monitoring and recovery
- Mentor engineers and promote distributed systems rigor
- Own data systems end-to-end
- Produce technical artifacts and recommendations
- Support high-quality modeling with analytics and ML teams
- Surface risks and dependencies
Perks/Benefits
- 401k plan
- Dental insurance
- Disability insurance
- Employee assistance program
- Flexible PTO
- Free Membership
- Learning and development
- Life insurance
- Medical insurance
- RRSP plan
- Remote work support
- Vision insurance
Skills/Tech-stack
AWS | Airflow | Data Modeling | Data Partitioning | Data Quality | Data Quality Controls | Data Storage | Data storage formats | Databricks | Distributed Systems | Distributed Systems Design | Event Based | Event-based architectures | GitHub Actions | Python | Quality Controls | Real Time | Real-time Streaming | SQL | Spark | Storage Formats | Systems Design | Technical leadership | Terraform
Education
N/A
Roles
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