Staff Analytics Engineer
Tasks
- Build and maintain semantic models
- Build and optimize data pipelines
- Create reusable analytics patterns and automation
- Define cost strategies for shared data assets
- Design data ingestion replication and transfer patterns
- Develop dbt models and macros
- Develop slowly changing dimension tables
- Drive version control and deployment workflows
- Implement data observability and pipeline reliability
- Implement scalable data models for business analytics
- Integrate AI agents with data grounded tools
- Lead cross-functional data initiatives
- Maintain documentation for data pipelines and best practices
Perks/Benefits
- In-person onboarding and events
- Professional development
- Remote work options
- Technical leadership opportunities
Skills/Tech-stack
AI Agents | Automation | Continuous Improvement | Cost Optimization | DBT | DBT macros | Data Ingestion | Data Modeling | Data Observability | Data Transformation | Data replication | Data transfer | ELT | ETL | GitHub | Looker | Machine Learning | Metric Layer | Pipeline reliability | Python | RPC | SCD | SQL | Semantic Modeling | Slowly Changing Dimensions | Snowflake | Version control
Education
N/A
Roles
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