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
- Apply fault tolerance redundancy disaster recovery
- Build AI-ready data foundations
- Build batch data pipelines
- Build streaming data pipelines
- Collaborate with DevOps for data system deployment
- Define data platform technical standards
- Develop data domains and data products
- Develop graph database solutions
- Drive observability data quality lineage governance
- Ensure pipeline reliability availability scalability
- Implement RAG architectures
- Implement monitoring, alerting, incident management
- Lead AI data pipeline implementation
- Mentor junior engineers
Perks/Benefits
Skills/Tech-stack
AWS | Alerting | Azure | Batch pipelines | Chunking | Data Catalog | Data Governance | Data Lineage | Data Modeling | Data Quality | Data orchestration | Disaster Recovery | ELT | ETL | Embedding | Fault Tolerance | GCP | Graph Database | Graph Databases | Grounding | Incident Management | Monitoring | Observability | Python | RAG | Redundancy | Retrieval | SQL | Scaled Agile | Semi-structured | Semi-structured Data | Snowflake | Snowpipe | Streaming Pipelines | Structured data | Unstructured Data | Vector Databases
Education
N/A
Regions
Countries
States
Cities
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