Staff Data Engineer
Tasks
- Build AI and machine learning data infrastructure
- Create training and inference data workflows
- Define data architecture strategies
- Design batch and real time data processing
- Design data contracts and event driven architectures
- Enforce data governance quality security compliance
- Establish engineering standards and architectural guidelines
- Implement monitoring logging alerting and automation
- Integrate data pipelines with APIs and middleware
- Make architectural decisions balancing delivery and sustainability
- Mentor and support engineers
- Modernize data platforms for performance scalability and cost
- Support feature stores embeddings vector databases and RAG pipelines
Perks/Benefits
- Access to AI powered development tools
- Career growth opportunities
- Flexible work arrangements
- Fully remote friendly environment
- Mentorship culture
- Work-life balance
Skills/Tech-stack
API Integration | Alerting | Amazon Kinesis | Automation | CI/CD | Cloud Data | Cloud Data Warehouse | Compliance | Container Orchestration | Data Governance | Data Lake | Data Modeling | Data Quality | Data Security | Data Transformation | Data Warehouse | Data fabric | Data integration | Data mesh | Data orchestration | Distributed Systems | Docker | ELT | ETL | Embeddings | Event Driven | Event-driven architecture | Feature Store | Google Pub/Sub | Inference Pipelines | Kafka | Lakehouse | Logging | Machine Learning | Monitoring | Observability | Pub/Sub | Python | RAG pipeline | Retrieval-Augmented Generation | SQL | Scala | Training Datasets | Vector Database
Education
N/A
Roles
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