Data Engineer, Forward Deployed Engineer
CIO KPop-Dallas (US152527), United States
USD 143K-273K Mid-level Full Time
Tasks
- Architect distributed data models
- Build secure high throughput API endpoints
- Configure feature stores for real time inference
- Deploy and manage vector databases
- Deploy production ready data infrastructure
- Design scalable ETL/ELT pipelines
- Diagnose data performance bottlenecks
- Ensure compliance security and data protection
- Implement data quality and observability frameworks
- Implement vector indexing for AI search
- Optimize real time streaming and batch processing
- Set up automated testing for pipelines
- Track metadata lineage and schema drift
Perks/Benefits
- N/A
Skills/Tech-stack
API | AWS | Agile | Airflow | Azure | CI/CD | Chroma | DBT | Data Observability | Data Quality | Database Modeling | Datahub | Distributed Systems | Docker | ELT | ETL | Feature Stores | Git | GitHub | Google Cloud | Great Expectations | Kafka | Kubernetes | Milvus | Pinecone | Python | RAG | Retrieval-Augmented Generation | SQL | Vector Databases | Vector Search | Vector indexing | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Data Engineer | Data Pipeline Engineer | Engineer | Pipeline Engineer
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