Data Engineer
Tasks
- Automate data workflows and improve efficiency
- Build and maintain scalable ETL/ELT pipelines
- Conduct code reviews and provide technical guidance
- Design and optimize data warehouse structures
- Develop and maintain data models
- Establish data quality checks and monitoring
- Implement data governance best practices
- Ingest and integrate data from multiple sources
- Partner with engineering product and analytics teams
- Provide clean structured accessible datasets for analytics
- Troubleshoot pipeline issues performance bottlenecks inconsistencies
- Write and optimize SQL queries
Perks/Benefits
- 401k employer matching
- Childcare reimbursement
- Company events and social hours
- Company paid holidays and PTO
- Company paid parking or MTS pass
- Comprehensive health coverage medical dental and vision
- Daily free coffee energy drinks and snacks
- Fertility treatment coverage
- Free weekly group workouts
- On-site work
- Padres tickets
- Work life balance schedule no evening or weekend work
Skills/Tech-stack
API | API Integration | Access Controls | Code review | Data Governance | Data Modeling | Data Quality | Data Warehousing | Data pipeline | Data pipeline orchestration | Database Integration | ELT | ETL | Monitoring | Performance Tuning | Pipeline Orchestration | Python | SQL | Third Party | Third-party systems
Education
Roles
Regions
Countries
States
Cities
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