Senior Data Management Professional - Data Engineering - Data AI
Tasks
- Build dashboards tooling and self service capabilities for data operations transparency efficiency and decision making
- Design build and maintain scalable data pipelines supporting data collection annotation training evaluation analytics and reporting workflows
- Develop and operate dataset management storage versioning and lifecycle governance systems for reproducible AI workflows
- Identify bottlenecks and automate workflows to improve reliability consistency and operational efficiency
- Implement monitoring observability and alerting for data quality system health and operational performance
- Partner with product engineering and data teams to evolve infrastructure and platforms for AI enabled products and workflows
Perks/Benefits
- 401k match
- Dental insurance
- Life insurance
- Long-term disability
- Medical insurance
- Paid Holidays
- Paid time off
- Short-term disability
- Vision insurance
- Wellness programs
Skills/Tech-stack
Alerting | Data Governance | Data Modeling | Data Quality | Data Versioning | Data Visualization | ETL | Language Processing | Machine Learning | Monitoring | Natural Language | Natural Language Processing | Observability | PowerBI | Python | QlikSense | SQL | Tableau
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Engineer | Data Pipeline Engineer | Engineer | Pipeline Engineer
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