Senior Data Engineer
Tasks
- Automate workflows for closed loop testing and scenario mining
- Build data labeling and curation tools
- Design and implement scalable data ingestion pipelines
- Develop schemas and APIs for model training and evaluation
- Integrate synthetic datasets with real world logs
- Maintain feature stores and metadata systems
- Optimize pipelines for cost latency and traceability
Perks/Benefits
- 401k eligibility
- Annual cash bonus
- Dental insurance
- Medical insurance
- Paid parental leave
- Paid time off
- Vision insurance
Skills/Tech-stack
AWS | Amazon S3 | Amazon SageMaker | Apache Spark | C++ | CI/CD | Data Lineage | Data Observability | Docker | ETL | Feature Store | Geospatial indexing | Kubeflow | MCAP | Metadata Management | Monitoring | Protobuf | Python | ROS2bag | SQL | Service Deployment | Testing | Time Series | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
Cities
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