Data Engineer, Machine Learning
Tasks
- Build production data pipelines for model training and evaluation
- Collaborate with ML engineers on dataset requirements
- Create data quality frameworks including schema validation drift detection coverage monitoring
- Define data governance and privacy standards
- Develop tooling for data discovery exploration and requests
- Implement dataset versioning lineage tracking and reproducibility
- Optimize large scale data processing for cost and performance
- Support architecture decisions for data platform
Perks/Benefits
- 401k match
- Dental insurance
- Employee Assistance Program (EAP)
- Flexible spending account
- Health insurance
- Stock options
- Unlimited PTO
- Vision insurance
Skills/Tech-stack
Apache Airflow | Apache Spark | Cloud infrastructure | Dagster | Data Drift | Data Drift Detection | Data Governance | Data Lineage | Data Privacy | Data Quality | Data labeling | Dataset versioning | Distributed Computing | Drift Detection | EKS | ELT | ETL | Embeddings | Feature Engineering | Feature Store | GKE | JSON | Kubernetes | Prefect | Python | Ray | SQL | Schema Validation | Semi-structured | Semi-structured Data | Structured data | Unstructured Data | Vector Databases
Education
N/A
Regions
Countries
States
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