Senior Data Engineer
Tasks
- Architect data models and metadata frameworks
- Build and maintain data pipelines
- Configure hybrid retrieval systems
- Deploy production RAG infrastructure
- Design scalable data architectures
- Develop and optimize ETL/ELT processes
- Generate embeddings and build vector storage
- Implement data governance, security, and privacy best practices
- Implement data quality controls
- Mentor data engineers and analysts
- Monitor troubleshoot and improve data platform performance
- Prepare technical documentation and architectural designs
Perks/Benefits
- 401k matching
- Dental insurance
- Hybrid work arrangement
- Life insurance
- Medical insurance
- Paid time off
- Paid volunteer days
- Vision insurance
Skills/Tech-stack
APIs | Azure Cosmos | Azure Cosmos DB | Bash | Cosmos DB | Data Architecture | Data Engineering | Data Governance | Data Modeling | Data Pipeline Monitoring | Data Privacy | Data Quality | Data Security | Data pipeline | Distributed Processing | Document ingestion | ELT | ETL | Elasticsearch | Embeddings | HTML | Hybrid retrieval | Language Processing | Metadata Management | MongoDB | Natural Language | Natural Language Processing | Neo4j | Pipeline monitoring | Powershell | Python | RAG | SQL | SQL Server | Vector Databases | Vector storage | XML | YAML
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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