Data Engineer
San Jose, California, United States
USD 140K-170K (estimate) Mid-level Full Time
Tasks
- Architect data processing systems
- Build data architectures
- Build data processing systems
- Collaborate with analytics teams on data needs
- Create data validation frameworks
- Design data models
- Develop ETL processes
- Develop real-time data pipelines
- Implement data quality monitoring
- Implement data transformation pipelines
- Integrate data with aircraft telemetry
- Integrate data with flight testing systems
- Integrate data with operational systems
- Manage data warehouses and lakehouses
- Monitor data quality
- Optimize ETL processes
- Optimize data processing systems
- Test data pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Anomaly Detection | Apache Kafka | Azure | Cloud Computing | CloudFormation | Data Architecture | Data Governance | Data Modeling | Data Pipelines | Data Quality | Data Security | Data Validation | Data Warehousing | Docker | ERP integration | ETL | GCP | GenAI | Go | Infrastructure as Code | Kubernetes | Lakehouse | Machine Learning | Metadata Management | Monitoring | Observability | Predictive Analytics | Python | Real Time | Real-time Data | Real-time data pipelines | Rust | SQL | Series data | Terraform | Testing | Time Series | Time Series Data | Workload management | “as-code”
Education
Roles
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