Data engineer , Machine Learning
Tasks
- Build production data pipelines for model training and evaluation
- Contribute to data platform architecture decisions
- Create data tooling for discovery exploration and requests
- Define and enforce data governance and privacy standards
- Develop data quality frameworks for schema validation drift detection and coverage monitoring
- Implement dataset versioning lineage and reproducibility
- Optimize large scale data processing for cost and performance
- Partner with ML teams to deliver required datasets
Perks/Benefits
- Employee Assistance Program (EAP)
- Employer matching 401k
- Health, dental, vision insurance
- Unlimited PTO
Skills/Tech-stack
Apache Airflow | Apache Spark | Audio Data | Coverage monitoring | Dagster | Data Coverage Monitoring | Data Drift | Data Drift Detection | Data Governance | Data Lineage | Data Privacy | Data Quality | Data Versioning | Data coverage | Distributed Computing | Drift Detection | EKS | ELT | ETL | Embedding storage | Feature Engineering | Feature Store | GKE | JSON | Kubernetes | Prefect | Python | Ray | SQL | Schema Validation | Semi-structured | Semi-structured Data | Structured data | Text data | Unstructured Data | Vector Databases | Workflow Orchestration
Education
N/A
Regions
Countries
States
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