Staff Data Engineer
Seattle, Washington, United States
USD 171K-221K Senior-level Full Time
Tasks
- Build dataset pipelines for standardized schema and curated datasets
- Develop read write libraries and integration for self serve data access
- Enforce data governance lineage and provenance with scrubbing and anonymization
- Implement dataset schema and content versioning with opt in consumer versions
- Manage labels and semantic annotations lifecycle with versioning quality checks and serving
- Own end to end data flywheel from raw telemetry and video to labeled training data and frozen evaluation sets
- Own frozen versioned validation and benchmark datasets for stable model comparisons
- Set data engineering standards and mentor engineers on quality gates and dataset contracts
Perks/Benefits
Skills/Tech-stack
Access Control | Anonymization | Apache Iceberg | Data Governance | Data Lakes | Data Lineage | Data Modeling | Data Partitioning | Data Pipelines | Data Quality | Data provenance | Dataset versioning | Delta Lake | ELT | ETL | Image data | Kafka | Lakehouse | Parquet | Privacy Compliance | PyTorch | PyTorch Lightning | Python | Schema evolution | Sensor telemetry | Spark | Streaming Data | Video Data
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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