Data Engineer (AI/ML)
US IL Chicago E. Randolph, United States
USD 115K-165K (estimate) Mid-level Full Time
Tasks
- Build data pipelines
- Build retrieval ready datasets for RAG
- Collaborate with data scientists to support ML workloads
- Conduct cost optimization
- Deploy and monitor data pipelines
- Design data pipelines
- Develop feature pipelines
- Implement ETL automation
- Implement data validation frameworks
- Ingest data
- Maintain version control and metadata management
- Manage data pipeline documentation and code reviews
- Optimize data pipelines
- Orchestrate workflows
- Perform performance tuning
- Prepare training and inference datasets
- Scale cloud data systems
- Support SOC 2 HIPAA and GDPR compliance
- Support data consistency integrity and availability
- Transform and process structured data
- Transform and process unstructured data
- Validate data quality
Perks/Benefits
- 401k matching
- Dental insurance
- Lifestyle spending account
- Medical insurance
- Paid Holidays
- Paid time off
- Vision insurance
Skills/Tech-stack
AWS Glue | AWS SageMaker | Airflow | Amazon Bedrock | Data Modeling | Data Validation | Databricks | ELT | EMR | ETL | Embeddings | Feature Pipelines | GDPR | HIPAA | Kubernetes | NoSQL | Prompt engineering | PySpark | Python | RAG | Relational databases | SOC 2 | SQL | Snowflake | Vector Databases
Education
Roles
Regions
Countries
States
Cities
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