Lead Data Engineer, Imagery Models
Tasks
- Collaborate with data science architecture and stakeholders to prioritize use cases
- Define data product strategy for imagery model outputs
- Define standards for testing data movement and transformations
- Design end to end data and ML pipeline architecture
- Incorporate data governance data security data quality
- Ingest preprocess engineer features train evaluate and deploy imagery models
- Integrate models into production systems and APIs
- Integrate new data sources consistently
- Lead data pipeline development
- Optimize and monitor data pipelines
- Perform analysis for high complexity defects and incidents
Perks/Benefits
- 401k matching
- Free counseling services
- Health insurance
- Matching gift
- Paid time off
- Pension plan
- Volunteer encouragement
- Volunteer rewards
- Wellness program
Skills/Tech-stack
API Integration | AWS | Data Governance | Data Pipelines | Data Quality | Data Security | Data Testing | Data Transformation | Databricks | Feature Engineering | Machine Learning | Monitoring and Alerting | Python
Education
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
Regions
Countries
States
Cities
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