Data Engineer - Materials Discovery Research Institute
Skokie, United States
A USD 89K-123K (estimate) Senior-level Full Time
Tasks
- Build data models
- Build data pipelines
- Design ETL/ELT pipelines
- Enforce data governance security compliance
- Implement data quality checks
- Integrate disparate data sources
- Maintain data documentation metadata repositories
- Maintain data platforms
- Perform exploratory data analysis
- Perform feature engineering
- Support model deployment operationalization
- Train and evaluate machine learning models
- Troubleshoot data and model issues
Perks/Benefits
- 401k matching
- Dental insurance
- Flexible working arrangements
- Health insurance
- Life insurance
- Paid time off
- Vision insurance
- Volunteer days
Skills/Tech-stack
APIs | AWS | Apache Spark | Azure | Azure Data | Azure Data Factory | Azure Databricks | Cloud Platforms | Compliance | Data Analysis | Data Factory | Data Governance | Data Modeling | Data Pipelines | Data Quality | Data Security | Docker | ELT | ETL | Exploratory Data Analysis | Feature Engineering | Google Cloud | Infrastructure as Code | Kubernetes | Machine Learning | NumPy | Pandas | PyTorch | Python | SQL | Scikit-learn | TensorFlow | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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