Data Engineer AI
Telecommuter TN, United States
R
USD 165K-216K (estimate) Senior-level Full Time
Tasks
- Automate Snowpipe
- Automate unstructured data extraction chunking and loading
- Build data models in Snowflake
- Build feature stores and training datasets
- Centralize data in Snowflake
- Collaborate with MLOps teams
- Collaborate with data science teams
- Create LLM data pipelines
- Create RAG data pipelines
- Design ETL/ELT pipelines
- Detect data drift and quality issues
- Implement data validation and observability
- Ingest data from AWS
- Ingest data from Azure
- Ingest data from on prem sources
- Manage Vector Stores
- Optimize Snowflake compute
- Optimize cloud data storage and query performance
- Orchestrate multi cloud workflows with Airflow
- Orchestrate workflows with Azure Data Factory
- Orchestrate workflows with Step Functions
- Partner with IT security on connectivity and IAM
Perks/Benefits
Skills/Tech-stack
AWS Glue | AWS Lambda | AWS S3 | AWS Step Functions | Airflow | Azure Data | Azure Data Factory | Azure Synapse | Data Drift | Data Factory | Data Modeling | Data Quality | Docker | ELT | ETL | Embeddings | Feature Store | Generative AI | IAM | LLM | Machine Learning | Observability | PrivateLink | PySpark | Python | RAG | Retrieval-Augmented Generation | SQL | Snowflake | Snowpipe | Step Functions | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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