Senior Data Engineer- Data Science & AI
Telecommuter TN, United States
R
USD 172K-225K (estimate) Senior-level Full Time
Tasks
- Automate Snowpipe workflows
- Build and maintain feature stores
- Collaborate with MLOps and Data Science teams
- Design and implement ETL/ELT pipelines
- Develop data pipelines for RAG and LLMs
- Extract chunk and load unstructured data into vector stores
- Implement data validation and observability
- Lead Snowflake data modeling
- Optimize Snowflake compute and query performance
- Optimize storage and query performance for cost
- Orchestrate multi-cloud data workflows
Perks/Benefits
Skills/Tech-stack
AWS Glue | AWS Lambda | AWS S3 | Airflow | Amazon RDS | Azure Blob | Azure Blob Storage | Azure Data | Azure Data Factory | Azure Synapse | Blob Storage | Data Factory | Data Modeling | Data Quality | Data orchestration | Docker | ELT | ETL | Feature Engineering | IAM | LLM | Machine Learning | Observability | PrivateLink | PySpark | Python | RAG | SQL | Snowflake | Snowpipe | Vector Databases
Education
Roles
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