Data Engineer
Tasks
- Build reusable data services
- Collaborate in agile sprint delivery
- Conduct data visualization and reporting
- Create preprocessing and feature engineering
- Deploy scalable data pipelines
- Design data pipelines
- Develop data ingestion transformation workflows
- Develop machine learning models
- Implement Entity Resolution
- Implement anomaly detection pattern recognition
- Implement classification clustering prediction
- Integrate data and ML services in secure environments
- Maintain model reproducibility and interpretability
- Package model inference services APIs
- Perform exploratory data analysis
Perks/Benefits
- 401k matching
- Commuter benefits
- Dental insurance
- Education reimbursement
- Health insurance
- Life insurance
- Onsite gym access
- Paid time off
- Vision insurance
Skills/Tech-stack
API Development | AWS | Amazon SageMaker | Apache Spark | Azure | CI/CD | Databricks | Docker | MLOps | MLflow | Palantir Foundry | PySpark | Python | SQL | Scikit-learn | TensorFlow | Terraform | XGBoost
Education
Regions
Countries
States
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