Senior Staff AI Data Engineer - Hybrid
Hartford CT- Home Office, United States
R
USD 135K-202K Senior-level Full Time
Tasks
- Apply GenAI to insurance data use cases
- Build batch data pipelines
- Build graph database solutions
- Build streaming data pipelines
- Collaborate with DevOps for deployments
- Create AI-ready data foundations
- Define technical standards and architecture decisions
- Develop AI-driven data systems
- Develop data domains and data products
- Implement RAG architectures
- Implement fault tolerance redundancy and disaster recovery
- Improve data observability data quality lineage governance
- Lead AI data pipeline implementation
- Mentor engineers
- Monitor data pipelines
Perks/Benefits
Skills/Tech-stack
AWS | Alerting | Azure | Batch Processing | Chunking | Cost Optimization | Data Catalog | Data Governance | Data Lineage | Data Modeling | Data Pipelines | Data Quality | Data orchestration | Disaster Recovery | ELT | ETL | Embeddings | Fault Tolerance | GCP | Graph Databases | Grounding | Incident Management | Monitoring | Observability | Pipeline Optimization | Python | RAG | Real Time | Real-time Data | Real-time data pipelines | Redundancy | Retrieval-Augmented Generation | SQL | Scalable Architecture | Scaled Agile | Snowflake | Snowpipe | Streaming | Vector Databases
Education
Regions
Countries
States
Cities
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