Data Engineer Lead | $140k-$175k + Hybrid + Equity | Exciting High Growth AI Operational Intelligence Startup
Tasks
- Build and scale production data pipelines
- Build real time and batch integrations for enterprise systems
- Define long term data architecture and scalability strategy
- Design warehouse architecture and data models for multi tenant SaaS
- Develop embeddings pipelines and retrieval systems
- Implement data quality observability lineage monitoring
- Partner with AI engineers on production AI infrastructure
- Support security compliance and regulated data environments
Perks/Benefits
- Equity
- Health insurance
- Hybrid work
- Medical insurance
- Paid Holidays
- Paid time off
- Vision insurance
- Work from home equipment provided
Skills/Tech-stack
Apache Airflow | Apache Kafka | DBT | Dagster | Data Lineage | Data Modeling | Data Monitoring | Data Quality | Data Warehousing | Distributed Systems | Embeddings | Multi-tenant | Multi-tenant architecture | Observability | PostgreSQL | Python | RAG | Retrieval-Augmented Generation | SQL | Similarity Search | System design | Tenant architecture | Vector Databases | Vector similarity | Vector similarity search
Education
N/A
Roles
Data Engineer | Data Engineering | Data Engineering Lead | Engineer | Engineering Lead | Lead
Regions
Countries
States
Cities
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