Data Engineer
USD 63K-114K Senior-level Full Time
Tasks
- Architect real-time data pipelines
- Build deploy and maintain CI CD pipelines for data infrastructure
- Build knowledge graphs
- Create semantic layers for agent context
- Design and scale RAG retrieval pipelines
- Identify and resolve data quality issues
- Implement automated data guardrails for noise bias and PII
- Maintain vector database performance
- Transform unstructured logs into vector embeddings
Perks/Benefits
- Company volunteering opportunities
- Disability benefits
- Employee learning programs
- Medical and dental coverage
- Paid leave
- Paid time off
- Retirement benefits
Skills/Tech-stack
AWS Glue | Azure Synapse | Azure Synapse Analytics | CI/CD | Cloud Dataproc | Cloud modernization | DB2 | Data Engineering | Data Mining | Data Modeling | Data Pipelines | Data Quality | Data Storage | Databricks | ETL | Extract Transform | Extract Transform Load | GitHub | Google Cloud | Google Cloud Dataproc | Knowledge graphs | Milvus | MongoDB | NoSQL | Pinecone | PostgreSQL | Relational databases | Retrieval-Augmented Generation | Semantic layer | Synapse Analytics | Vector Databases | Vector embeddings | Visual Studio | Weaviate
Education
Bachelor of Engineering | Bachelor of Engineering in Software Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Information Technology
Roles
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